IEEE CBMS 2026: THE 39TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS

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Abbes, Ines	AMAL-For-Qatar: A Vision for AI-Mediated Prenatal Care through Comprehensive Fetal Ultrasound Video Analysis
Abd Alaziz Obeid, Hayssam	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Abdennadher, Slim	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction
Abinahed, Julien	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
Abreu Cárdenas, Miguel Guillermo	An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Acampora, Nicola	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Acchugatla, Sravanthi	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
Acchugatla, Sravanthi	Beyond Heatmaps: Self-Evolving Graph Neural Fields for Robust Cephalometric Landmark Detection
Achari, Rimpa Basu	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Afolayan, Abimbola	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
Afonso, Luis Carlos	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining
Agapito, Giuseppe	Music-Induced Reorganization of Functional Brain Networks: A Link Prediction Study in Major Depressive Disorder Green-Aware Connectome Classification Using Functional Connectivity: A Cross-Device Power Consumption Analysis
Agostinho, Shelton	Modernizing PACS Web Architecture: The Dicoogle-Next Platform Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
Aguado-Caballero, Irene	Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
Aguilar, Gustavo	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
Agus, Marco	AMAL-For-Qatar: A Vision for AI-Mediated Prenatal Care through Comprehensive Fetal Ultrasound Video Analysis
Ahmed, Sara	Wearable data harmonization and quality in Transitional Care monitoring
Aich, Utathya	HCAF-Net: Hierarchical Cross-Attention Fusion for Retinal Disease Classification
Airola, Antti	Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets
Akanksha, Kumari	Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures
Aksu, Fatih	Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Al Khatib, Karine	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
Alaniz Macedo, Alessandra	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Albajali, Abdulrahman	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
Algera, Florien	From Prototype to Data Quality: Usability Findings for a Patient-Facing AI-Empowered Mobile Application for Automatic Cancer Pain Assessment
Ali, Yaqeen	Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction
Aliberti, Alessandro	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Allegue, Dorra Rakia	Wearable data harmonization and quality in Transitional Care monitoring
Almeda-Luna, Eduardo	Exploring Transformation-Based Radiomic Features in Breast Cancer
Almeida, João	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets Optimized metagenomic classification through hybrid computational approaches A AI-driven document builder for standardized clinical studies Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining An MCP server for OHDSI WebAPI cohort definition GREG MetaView: Comparing Health Databases for Large-scale Observational Research
Almeida, Rute	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Almousa, Ghina	Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos
Alshaikhdeeb, Basel	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Alshehhi, Mohammed	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
Altamirano-Robles, Leopoldo	Towards Mask-Free Multi-Threshold Segmentation of Liver Lesions in CT Images Using a Multi-Objective Evolutionary Approach
Alty, Jane	From Optical Flow to Motion Magnitude: An Efficient Framework for Video-Based Hand Tremor Assessment
Alvarez-Padilla, Francisco J.	Human-Centered Explainability for Medical AI with Metaheuristic Optimization and LLM Reporting
Alves, Domingos	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Alves Vieira de Matos, Thiago	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Alyafei, Khalid	AMAL-For-Qatar: A Vision for AI-Mediated Prenatal Care through Comprehensive Fetal Ultrasound Video Analysis
Alzubaidi, Mahmood	AMAL-For-Qatar: A Vision for AI-Mediated Prenatal Care through Comprehensive Fetal Ultrasound Video Analysis
Alì, Marco	A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
Amel, Otmane	End-to-End Multimodal Transformers for Multi-Cohort Alzheimer's Classification
Amorim, Pedro	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
Amorim, Willian	From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
Ampatzoglou, Apostolos	AI-Assisted Secondary Use of Clinical Research Data: A Three-Dimensional Personalization Framework for Scientific Publication Drafting
Amprimo, Gianluca	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation. EDA-Based Arousal Analysis During Gamified Leg Agility in Parkinson's Disease: A Cross-Subject XAI Approach
Anagnostopoulou, Alexandra	Cloud-Based EEG Analysis via the RAISE Platform
Andrade, Mariana	GREG MetaView: Comparing Health Databases for Large-scale Observational Research
Andreou, Andreas	Process-Aware Conformal Prediction for Ambulance Response Time Estimation
Andres, Jennifer	Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis
Angelopoulou, Efthalia	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Annunziata, Michele	Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring
Antczak, Jakub	Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs
Antolín, Andreu	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Antunes, Ricardo	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Aranguren, Itzel	Human-Centered Explainability for Medical AI with Metaheuristic Optimization and LLM Reporting
Araújo, Thiago	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
Arbelaitz, Olatz	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Arcari, Annalisa	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Arcuri, Giovanni	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Arisaca-Mamani, Robert	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Aristidou, Andreas	Mixed Reality in Electronic Health Records: User Requirements and Evaluation
Arkoumanis, Ioannis	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Armand-Lefevre, Laurence	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Arnal, Josep	Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction
Arroyo-Garcia, Luis Enrique	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
Artusi, Carlo Alberto	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation.
Arunsingh, Moses	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Ashakin, Md Rahatul	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
Aslam, Asra	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Athanasiou, Alkinoos	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Athanasopoulos, Nikos	Wearable data harmonization and quality in Transitional Care monitoring
Auriemma Citarella, Alessia	Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring Digital Twin-based 3D Reconstruction for Real-Time Body Composition Estimation Using 2D Images and Deep Learning-based Segmentation
Aveleira-Mata, Jose	Opportunistic LoRaWAN-Based Step-Count Monitoring for Postoperative Follow-Up in Low-Connectivity Rural Settings Vulnerability Audits for Connected Medical Devices
Aversano, Lerina	Explainable Multimodal Learning for Fetal Electro-Mechanical Signal Modeling
Avgousti, Sotiris	Advancements and Technology Trends in Robotic Surgery
Aviles-Perez, Maria Dolores	Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
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B H V S P, Subrahmanyam	Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization Beyond Heatmaps: Self-Evolving Graph Neural Fields for Robust Cephalometric Landmark Detection
Bacalini, Maria Giulia	Benchmarking Tabular Generative Models for Clinical Data Synthesis
Bai, Xinru	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Bakir-Gungor, Burcu	Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking
Balboni, Alice	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Baldacci, Fabien	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Bamidis, Panagiotis	Virtual Reality to Teach Empathy to Medical Students Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects Assessing the Quality of Patient-Generated Health Data: the DAMA UK Framework Applied to Real-World Cancer Patient Data Explainable AI in Medicine: Trends and Educational Implications Enabling Reproducible AI Research Through the RAISE Platform: A Cross-Dataset Study on Emergency Department Triage Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time Wearable data harmonization and quality in Transitional Care monitoring Cloud-Based EEG Analysis via the RAISE Platform AI-Assisted Secondary Use of Clinical Research Data: A Three-Dimensional Personalization Framework for Scientific Publication Drafting Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Bamiou, Doris Eva	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
Banos, Oresti	Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
Barbosa de Medeiros Júnior, José Gilberto	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
Barillaro, Christian	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Barillaro, Luca	Music-Induced Reorganization of Functional Brain Networks: A Link Prediction Study in Major Depressive Disorder Green-Aware Connectome Classification Using Functional Connectivity: A Cross-Device Power Consumption Analysis
Bariszlovich, Florian	Label Efficiency for Signal Quality Classification of Respiratory Inductance Plethysmography Using Wearable Sensors
Barone, Mariano	Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D
Barros, Vicente	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining GREG MetaView: Comparing Health Databases for Large-scale Observational Research
Barth, Fabrício	Improving Breast Magnetic Resonance Imaging Workflow Through Deep Learning–Based Exam Prioritization
Bashir, Saba	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
Bastião, Luís	Modernizing PACS Web Architecture: The Dicoogle-Next Platform Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
Battye, James	BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
Bauer, Stephen	AngleREG: Data-Free Angle-Aware Quantization for Efficient 3D Medical Image Registration
Baumgartner, Martin	Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis
Bayón-Gutiérrez, Martín	Opportunistic LoRaWAN-Based Step-Count Monitoring for Postoperative Follow-Up in Low-Connectivity Rural Settings
Beccuti, Marco	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Beck, Tim	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Beckhauser, Eduardo	Comparative Evaluation of CNN Architectures for Asbestos-Related Disease Screening in Public Chest X-ray Datasets
Bejar-Alvarez, Gianella	State-of-Sleep in Hyperbaric Oxygen Therapy: Wearable EEG Before, During, and After Sleep in HBOT State-of-Flight: Wearable EEG and Motion Context During Flying or Floating Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
Bellani, Marcella	Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy
Benito-Del-Valle, Leire	Does synthetic image generation improve explainability? A Concept-Based Case Study in Histopathology
Benlala, Ilyes	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Benítez-Andrades, José Alberto	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
Bernardi, Filipe	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Bernardi, Filipe	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Berry, Damon	Evaluation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data
Bertgren, Amanda	Evaluating Schema-Awareness in a Transformer Model for Tabular Synthetic Data Generation of Electronic Health Records
Bertrand, Yannis	Counterfactual Reasoning to Executable Clinical Guidelines: A DMN-Based Framework for Diabetes Risk Assessment ا
Berutti, Riccardo	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Best, Kate	Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions
Bezin, Julien	Transformer-Based Cardiovascular Event Prediction Using National Claims Data
Bhagubai, Miguel	Cloud-Based EEG Analysis via the RAISE Platform
Bhalchandra Joshi, Rucha	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Bhanja, Hrishikesh	HCAF-Net: Hierarchical Cross-Attention Fusion for Retinal Disease Classification
Bharali, Lui Kirtan Deori	Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures
Bhat, Nowneet Kumar	Data-Driven Clustering of COVID-19 Patient Records for Mortality Risk Prediction
Bhattacharyya, Tapesh	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Bikulčienė, Liepa	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Billis, Antonios	Assessing the Quality of Patient-Generated Health Data: the DAMA UK Framework Applied to Real-World Cancer Patient Data Explainable AI in Medicine: Trends and Educational Implications Enabling Reproducible AI Research Through the RAISE Platform: A Cross-Dataset Study on Emergency Department Triage
Billis, Antonis	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience
Bitencourt, Almir	Improving Breast Magnetic Resonance Imaging Workflow Through Deep Learning–Based Exam Prioritization
Bitsa, Evangeli	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Blahová, Linda	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
Blumrosen, Gaddi	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
Boffa, Giacomo	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
Bohra, Abhinav	Multimodal Dual-Encoder Retrieval for Automated ICD Coding
Bohra, Anuj	Multimodal Dual-Encoder Retrieval for Automated ICD Coding
Boi, Biagio	FedTwin‑XAI: A Patient‑Owned Federated Digital Twin Framework with Explainable Mobile Medical Imaging and Differentially Private Synthetic Augmentation
Bollegala, Danushka	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Bonasso Filho, Carlo	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses
Bonazzi, Matteo	Benchmarking Tabular Generative Models for Clinical Data Synthesis
Borrego, Lucia	Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
Borst, Vanessa	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Bosnić, Zoran	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Bottino, Lorella	Improving machine learning models for clinical datasets through Active Learning and Data Augmentation
Boucharas, Dimitrios	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Boucher, Xavier	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry
Boussier, Jérémy	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Bozios, Konstantinos	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
Braghin, Stefano	PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
Brancati, Francesco	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Branco Martins, Inês	Optimized metagenomic classification through hybrid computational approaches
Bravo, Wendy	Efficient working memory characterization from EEG using phase based deep learning analysis
Bria, Alessandro	A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology
Brito, Cláudia	OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis
Britto, Kasey Ann	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
Broadbent, Matthew	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Brown, Leslie	Transformer-Based Cardiovascular Event Prediction Using National Claims Data
Brás, Tomás	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Buchan, Iain	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Bueichekú, Elisenda	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Bueno-Orovio, Alfonso	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Bugatti, Pedro Henrique	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models
Buttelli, Olivier	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Bücheler, Vinzent	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
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C, Ajay	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
Calderon Ramirez, Saul	An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Calvo-Almeida, Shaila	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Camacho Ávila, Anabel	Burnout Syndrome Identification from Electrodermal Signals Using Machine Learning Algorithms
Camargo, Romina	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
Campos, Leonardo	Incomplete information retrieval without imputation: exploiting the correlation among deep features Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Cang, Yueyang	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Cannataro, Mario	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview Music-Induced Reorganization of Functional Brain Networks: A Link Prediction Study in Major Depressive Disorder A Proof-of-Concept Framework for Structured Analysis of Multimodal Machine Learning Literature: a case study on Breast Cancer literature analysis Green-Aware Connectome Classification Using Functional Connectivity: A Cross-Device Power Consumption Analysis Superpixel-Based Graph Representation for CESM Image Classification Using Graph Neural Networks
Cantón-Habas, Vanesa	From Retina to Cognition: Transfer Learning for MMSE-Derived Cognitive Status Classification in Diabetic Retinopathy Equity-Aware Risk Prioritization for Mandatory Referral in Nursing-Home Telemedicine Early Bed-Exit Risk Detection in a Real-World Residential Setting Using Pressure-Sensing Sheets: A Feasibility Study
Cao, Kewen	Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
Caprio, Floriano	Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting
Caragliano, Alice Natalina	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Carbone, Giovanni	Digital Twin-based 3D Reconstruction for Real-Time Body Composition Estimation Using 2D Images and Deep Learning-based Segmentation
Cardenas, Martha-Ivon	Advancements and Technology Trends in Robotic Surgery Predicting Pathologic Complete Response in Breast Cancer: A Multimodal Benchmark Using Baseline DCE-MRI and Clinical Data Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
Cardoso, António	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
Cardoso, Jaime	Explaining Visual-Language Foundation Models for Histopathology: a Patch-Level Approach Understanding Chest X-ray Vision Representations with DeViL
Carrera-González, Maria Pilar	From Retina to Cognition: Transfer Learning for MMSE-Derived Cognitive Status Classification in Diabetic Retinopathy
Carrere-Molina, Jordi	Towards A Unified and Explainable Record-Level Metric for Synthetic Data Evaluation
Caruso, Camillo Maria	Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Carvalho Assunção, Joaquim Vinicius	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
Castaldo, Vittorio	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience
Castellani, Gastone	Benchmarking Tabular Generative Models for Clinical Data Synthesis
Castiglioni, Isabella	A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
Castro-Gutierrez, Eveling	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Catalina, Mikel	Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain
Cattin, Philippe Claude	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models
Caulier, Patrice	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
Cavalcante, Laura	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Cazzolato, Mirela Teixeira	Incomplete information retrieval without imputation: exploiting the correlation among deep features Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Cañamero Herrero, Carlota	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Ceccherini, Isabella	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Cencini, Emanuele	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Cepa, Beatriz	OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis
Cerchiari Alves, Davi	From Retina to Cognition: Transfer Learning for MMSE-Derived Cognitive Status Classification in Diabetic Retinopathy
Chaabane, Sondes	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
Chakraborty, Santam	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Chaldoupis, Silouanos	Mixed Reality in Electronic Health Records: User Requirements and Evaluation
Chambilla, Valentina	Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment
Changoluisa, Vinicio	Efficient working memory characterization from EEG using phase based deep learning analysis Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
Chapman, Volodymyr	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Charman, Sarah	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Chatterjee, Sanjoy	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Chatzichristos, Christos	Cloud-Based EEG Analysis via the RAISE Platform
Chatzigeorgiou, Alexandros	AI-Assisted Secondary Use of Clinical Research Data: A Three-Dimensional Personalization Framework for Scientific Publication Drafting
Chen, Baiyan	Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Automated Diaphragmatic Thickness Segmentation in Simulated Neonates Ultrasound Videos
Chen, Cao	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Chen, Jianxu	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
Chen, Kuisheng	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Chen, Xiaoming	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating Chirplet Analysis of Brain State During Snow and Cold Exposure
Chessari, Marco	Scaling Digital-Analog Quantum Kernels for Medical Image Classification
Chicharro Luna, Esther	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
Chiguraupati, Vijaya Sai	Topology-Aware Diffusion for Cephalometric Landmark Detection
Chillarón, Mónica	Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction
Chitra, Dr.Prasad	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
Chiuffa Tunes, Gabriela	Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering
Choi, Inhyeok	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Choudhary, Dr.Neeraj	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization Beyond Heatmaps: Self-Evolving Graph Neural Fields for Robust Cephalometric Landmark Detection Topology-Aware Diffusion for Cephalometric Landmark Detection
Chowdhury, Divyani	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Chukwu, Emmanuel C.	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
Ciampa, Ilaria	Interpretable HRV-Based Detection of REM Sleep Behaviour Disorder via Explainable Boosting Machines
Cicolin, Alessandro	Interpretable HRV-Based Detection of REM Sleep Behaviour Disorder via Explainable Boosting Machines
Cigi, Mathew	Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness
Cilia, Nicole Dalia	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Cimrák, Ivan	Improving Quality of Variational Autoencoder Outputs for Ki67 Histological Image Generation Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
Ciuffreda, Marco	Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
Civit, Antón	The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction
Civit, Miguel	Optimized emotion recognition in naturalistic gaming enviroment using facial action units
Civit-Masot, Javier	The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction
Clegg, Andrew	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Codling, David	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Coelho, Bruno	Explaining Visual-Language Foundation Models for Histopathology: a Patch-Level Approach Understanding Chest X-ray Vision Representations with DeViL
Coleman, James	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Conaghan, Philip	BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
Conceição, Luís	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Consolo, Antonio	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Constaninou, Elisavet	Spatial Transmission Patterns in COVID-19 Infection Networks in Cyprus
Constantinou, Riana	AVARIS-SmartPLAIGO: Integrating AI-Driven Decision Support into Cyprus’s National Ambulance Dispatch System
Contaldo, Sandro Gepiro	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Coppetti Radaelli, Eduardo	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
Cordasco, Gennaro	Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening
Cordelli, Ermanno	Scaling Digital-Analog Quantum Kernels for Medical Image Classification
Cordero, Francesca	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Costa, Aaron	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Costa, Carlos	Modernizing PACS Web Architecture: The Dicoogle-Next Platform Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
Costa Garcia, Alvaro	Advancing Remote Medical Palpation through Cognition and Emotion
Cotorobai, Alexandre	A AI-driven document builder for standardized clinical studies
Couillard-Despres, Sebastien	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
Coutinho-García, Katherine	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Crespo-Álvaro, Arturo	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
Croos, Mineth De	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
Cruz, Gustavo	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Cuadros, Montse	Toward Inclusive Clinical Research: Automated Structuring of Clinical Trial Protocols Using LLMs
Curran, Kathleen	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Currieri, Tiziana	Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening
Cury, Claire	Automatic detection of EEG electrodes on T1-weighted MR Images
D
D'Aloisio, Giordano	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults A Data-Driven Approach to Support Clinical Renal Replacement Therapy
D. J. de Macedo, Douglas	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics
da Costa Silva, Rafael	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
da Rosa Pimentel, Pablo	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Da Silva, Arthur	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
Dachena, Chiara	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Dadrast, Mohammad Ali	Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing
Dago Casas, Pablo	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Dal, Shoaib	Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
Dang, Phuong H. N.	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
Daniel Berejuck, Marcelo	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets
Darade, Shreyas	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Das, Ayantika	Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder
Dattola, Francesco	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
De Avila-Armenta, Eduardo	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification
De Golferichs García, Javier	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
de la Casa Lillo, Miguel A	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
de la Fuente Garcia, Sofia	Modelling the effects of intangible cultural heritage experiences on mental well-being using physiological sensor data and speech signals
de la Hera Martínez, Pablo	Vulnerability Audits for Connected Medical Devices
de Lima Silva, Luís Alvaro	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
De Los Ríos Alatorre, Gustavo	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
De Marco, Fabiola	Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring Digital Twin-based 3D Reconstruction for Real-Time Body Composition Estimation Using 2D Images and Deep Learning-based Segmentation
De Pietro, Giuseppe	Multimodal AI for Medical Image Classification: A Comprehensive Analysis of Image and Text Contributions
de Roberto, Anna Maria	Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring
De Rose, Francesco	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
De Vos, Maarten	Cloud-Based EEG Analysis via the RAISE Platform
Dege, Tassilo	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
del Val, Inés	Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
Delehouzee, Mathis	End-to-End Multimodal Transformers for Multi-Cohort Alzheimer's Classification
Delgado-Barra, Luci	Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation
Delgado-Pérez, Edwin Emeth	Design and Initial Evaluation of HelpInMind: An Embodied Conversational Agent for Promoting Adherence in Anxiety Treatment
Delnord, Marie	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience
Denecke, Kerstin	Aspect and Effect Polarity Classification in German Clinical Text with a Two-Stage Transformer Pipeline An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries
Deng, Eric	Modelling the effects of intangible cultural heritage experiences on mental well-being using physiological sensor data and speech signals
Denis de Senneville, Baudouin	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Depaoli, Fabio	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Devindi, Isuri	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
Devindi, Isuri	Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation
Di Biasi, Luigi	Digital Twin-based 3D Reconstruction for Real-Time Body Composition Estimation Using 2D Images and Deep Learning-based Segmentation
Di Feola, Francesco	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models Predictive Uncertainty for Medical Image Synthesis with Continuous-Time Generative Models
Di Serio, Francesco	Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images
Diallo, Gayo	Transformer-Based Cardiovascular Event Prediction Using National Claims Data
Dias, Gabriel	Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
Diciotti, Stefano	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Digiacomo, Federico	Interpretable HRV-Based Detection of REM Sleep Behaviour Disorder via Explainable Boosting Machines
Dilshan, Tharaka	Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation
Dimitriou, Pavlos Alexandros	Spatial Transmission Patterns in COVID-19 Infection Networks in Cyprus
Dimos, Thomas	Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Ding, Xin	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
Ding, Xin	Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery
Dinis, Miguel	A telemonitoring framework for arteriovenous graft and vital signs
Dixon, William	Development of an automated pipeline for the digitisation of paper pain drawings
Dlugosch, Anna	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
do Nascimento, Carlos Edmidson	Early Bed-Exit Risk Detection in a Real-World Residential Setting Using Pressure-Sensing Sheets: A Feasibility Study
Dobson, Richard	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Domingues, Daniela	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Dominguez, Alejandro	Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
Doménech, Jordi	Between Aspiration and Reality – Datasets for Network Security in Healthcare
Domínguez-Morales, Manuel	Optimized emotion recognition in naturalistic gaming enviroment using facial action units The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction
Donati, Alice	Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Donato Bauman, João	From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation
Dong, Shujun	Group Therapy for Elderly Depression: Deep Learning Based on Large Models of Music Affective Computing
Donin, Gleb	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia
Doumas, Michael	Wearable data harmonization and quality in Transitional Care monitoring
Dournes, Gael	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Dovrolis, Constantinos	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Dratsiou, Ioanna	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
Dreibholz, Thomas	DeepECG-Kit: A Practical and Reproducible Framework for ECG Deep Learning
Duch, Jordi	Towards A Unified and Explainable Record-Level Metric for Synthetic Data Evaluation
Ducommun, Denis	Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment
Duenas Angeles, Karla	An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Dui, Linda Greta	A sensorized ink pen to predict the risk of handwriting difficulties in primary school Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Díaz-Hernández, Raquel	Towards Mask-Free Multi-Threshold Segmentation of Liver Lesions in CT Images Using a Multi-Objective Evolutionary Approach
E
Edirisooriya, Madhura	Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
Edwards, Duncan	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
El Kadhi, Ayman	Title: Asymmetric Cross-Cohort Generalization in Alzheimer’s Disease Classification: A Bidirectional External Validation Study
El Kadhi, Nahla	Title: Asymmetric Cross-Cohort Generalization in Alzheimer’s Disease Classification: A Bidirectional External Validation Study
El-Zaart, Ali	A Quantum-Inspired Framework for Secure and Intelligent Healthcare Systems in Pandemic-Scale Response
Elkassas, Doaa	An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
Elnabawy, Reham	An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
Elrabaa, Rayane	A Quantum-Inspired Framework for Secure and Intelligent Healthcare Systems in Pandemic-Scale Response
Elze, Markus C.	A Simulated Federated Analysis of MS-Induced Brain Lesions
Emebo, Onyeka	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
Enaieh, Ikhlas	On the explainability of max-plus neural networks
Enesi, Abdulsalam Ibrahim	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
Erell, Yair	Continuous AKI Prediction in the ICU
Erhardt-Kreutzer, Christina	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
Eric, Fakra	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry
Ermont, Jérôme	Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment
Escobar, Luis	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Espis, Andrea	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Esposito, Anna	Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening
Esposito, Christian	FedTwin‑XAI: A Patient‑Owned Federated Digital Twin Framework with Explainable Mobile Medical Imaging and Differentially Private Synthetic Augmentation
Evans, Ruth	Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions
Exarchos, Themis	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
F
F. Teixeira, Luís	Understanding Chest X-ray Vision Representations with DeViL
Fandi, Zineb	From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish
Farina, Giulia	Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Favoreto, Graciella S.	Incomplete information retrieval without imputation: exploiting the correlation among deep features Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Federer-Gsponer, Joël	A Simulated Federated Analysis of MS-Induced Brain Lesions
Felipe, Vinicius	Improving Breast Magnetic Resonance Imaging Workflow Through Deep Learning–Based Exam Prioritization
Felix, Temis Maria	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Fercoq, Olivier	On the explainability of max-plus neural networks
Fernandez-Maloigne, Christine	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Fernández, Melisa	Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain
Ferracin, Manuela	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Ferrante, Gabriel Souto	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images
Ferrante, Simona	A sensorized ink pen to predict the risk of handwriting difficulties in primary school Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Ferraris, Claudia	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation.
Ferraris, Claudia	EDA-Based Arousal Analysis During Gamified Leg Agility in Parkinson's Disease: A Cross-Subject XAI Approach
Ferraro, Antonino	Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D Multimodal AI for Medical Image Classification: A Comprehensive Analysis of Image and Text Contributions
Ferraro, Laura	Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening
Ferreira, Afonso	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Ferreira, Ana	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Ferreira-Santos, Daniela	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
Ferrero, Simone	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Ferroni, Patrizia	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Figueiredo, Isadora	A Conversational Agent for Natural Language Access to Public Health Data
Filipovic, Nenad	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Fiore, Michele	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Fiska, Vasiliki	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Flis, Borut	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Flores-Garrigos, Carlos	Scaling Digital-Analog Quantum Kernels for Medical Image Classification
Flores-Ortiz, Pedro	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
Fontolan, Stefania	A sensorized ink pen to predict the risk of handwriting difficulties in primary school Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Fortino, Luigi	FedTwin‑XAI: A Patient‑Owned Federated Digital Twin Framework with Explainable Mobile Medical Imaging and Differentially Private Synthetic Augmentation
Fostiropoulos, Ioannis	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Fotiadis, Dimitrios	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Franch-Pato, Clara Margarita	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records
Frankle, Mark A.	Automated Video Classification during a Deltopectoral Approach for Primary Shoulder Arthroplasty
Frantzidis, Christos	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Fraser, Kieran	PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
Freitas, Alberto	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Freitas, Carla	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
Frexia, Francesca	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Fujiwara, Takeshi	Advancing Remote Medical Palpation through Cognition and Emotion
Fumagal-González, Gerardo	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
Furtado Silva, Diego	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
Félix Arredondo, Felipe De Jesús	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
G
G. Christoforou, Eftychios	Advancements and Technology Trends in Robotic Surgery
G. Vourkos, Eleftherios	Advancements and Technology Trends in Robotic Surgery Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics
Gabbay, Mark	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Gabilondo, Iñigo	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Gadermayr, Michael	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning? Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
Gailly, Frederik	Counterfactual Reasoning to Executable Clinical Guidelines: A DMN-Based Framework for Diabetes Risk Assessment ا
Galdran, Adrian	Does synthetic image generation improve explainability? A Concept-Based Case Study in Histopathology
Gallareta Flores, Eduardo Enrique	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
Gallo, Silvia	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation.
Gallos, Parisis	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
Gameiro, José	DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets
Garcia, Ana Lara Alves	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles
Garcia, Gabriel Lino	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Garcia-Cabrera, Carles	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Garcia-Pedrero, Angel Mario	On the explainability of max-plus neural networks Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis A Modular Platform for Multimodal Clinical Research: Architecture and Case Study on Glaucoma Classification
García Nogueiras, Carmen	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
García-Cabrera, Emilio	The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction
García-Ordás, María Teresa	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
García-Rodríguez, Isaias	Opportunistic LoRaWAN-Based Step-Count Monitoring for Postoperative Follow-Up in Low-Connectivity Rural Settings Vulnerability Audits for Connected Medical Devices
Gargiulo, Paola	Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring
Garouani, Moncef	From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish
Garza-Abdala, Jorge	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification
Gatoula, Panagiota	EndoFSA: Endoscopic Few-Shot Image Generation via Rank-Constrained Parameter Adaptation
Gatta, Roberto	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Gaudart, Jean	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Gautam, Sushant	Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA
Gazea, Theodora	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Gemenaris, Michalis	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos
Gentile, Chiara	Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Gentili, Arthur	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets
Georgeais, Mathys	Automatic detection of EEG electrodes on T1-weighted MR Images
Georgiou, Angelos	A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates
Geremtzes, Charalampos	SEARCH Federated Platform: Federated Data Discovery and Learning for Synthetic Data Generation in Healthcare
Ghahramani, Maryam	Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
Ghislieri, Marco	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation.
Ghosh, Koustav	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Ghosh, Soumya Kanti	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Giampieri, Enrico	Benchmarking Tabular Generative Models for Clinical Data Synthesis
Ginaldi, Lia	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Giollo, Alessandro	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Gloesener, Maxime	End-to-End Multimodal Transformers for Multi-Cohort Alzheimer's Classification
Godinho, Luís	Modernizing PACS Web Architecture: The Dicoogle-Next Platform Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments
Goldgof, Dmitry B.	Automated Video Classification during a Deltopectoral Approach for Primary Shoulder Arthroplasty Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
Gomes, Luis	Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs
Gomez Aguilar, Jorge	Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Gomez-Esteban, Juan Carlos	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Gong, Andy	XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion
Gonzalez Papa, Ernesto	An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Gonzalo-Martin, Consuelo	Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images A Modular Platform for Multimodal Clinical Research: Architecture and Case Study on Glaucoma Classification
González-Martínez, Raúl	Vulnerability Audits for Connected Medical Devices
Gotti, Alberto	Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Gouveia, Margarida	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
Gracia Sanchez, Alba	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
Gravina, Michela	Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Grazioso, Catia	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
Greco, Carlo	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Gregori, Johannes	Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction
Greiner, Russell	Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Griffin, Maura	Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study
Griffiths, Alan	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Groefsema, Steff	Verbalized Uncertainty in Medical AI: Differential Diagnosis in Commercial LLMs
Grönlund, Christer	Evaluating Schema-Awareness in a Transformer Model for Tabular Synthetic Data Generation of Electronic Health Records Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models
Guadagni, Fiorella	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Guarrasi, Valerio	A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis Longitudinal NSCLC Treatment Progression via Multimodal Generative Models Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Guedes, João	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography
Guillevin, Carole	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Gumiel, Yohan	Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Gumiel, Yohan	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses
Guo, Chengxin	An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment
Gupta, Amit K	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness
Gupta, Saumya	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Gurrutxaga, Ibai	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Gutierrez, Alvaro	Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Gutierrez, Marco	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Gutleb, Timon	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Guzzi, Pietro Hiram	Superpixel-Based Graph Representation for CESM Image Classification Using Graph Neural Networks
Gvirts, Hila	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
H
H.G. Monje, Mariana	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Haba, Danisia	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential
Hadjicharalambous, Myrianthi	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Hadjilouca, Christina	Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos
Hadjittoouli, Nicolas	Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Hagemann, Nina	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Haider, Fasih	Modelling the effects of intangible cultural heritage experiences on mental well-being using physiological sensor data and speech signals
Halimi, Anisa	PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
Hall, Lawrence O.	Automated Video Classification during a Deltopectoral Approach for Primary Shoulder Arthroplasty Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
Halvorsen, Pål	Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA
Hammer, Hugo	Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
Hammerstad, Adrian Rod	Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Hanah, Shlomo	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
Hancox, Zoe	Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions
Hara, Ryan	Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings
Harland, Robert	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Hartley, Barbara	Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions
Hasanov, Elgun	Title: Asymmetric Cross-Cohort Generalization in Alzheimer’s Disease Classification: A Bidirectional External Validation Study
Hassaballa, Sarah	Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study
Hassan, Suleiman Omeiza	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
Hayward, Christopher	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Heckmann, Martin	From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models
Hederman, Lucy	Evaluation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data
Heill, Yngve Sebastian	Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Helbert, David	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Hermann, Dirk M.	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Hernandez, Mikel	Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain
Hernández Pérez, Iván	RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization
Herrera Viyella, Michel	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating
Hicks, Steven	DeepECG-Kit: A Practical and Reproducible Framework for ECG Deep Learning Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA
Hieber, Daniel	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Hindle, Abram	Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Hirata, Hitoshi	Advancing Remote Medical Palpation through Cognition and Emotion
Hittmair, Anton	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
Holobar, Ales	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Hombria Gawior, Yann	Verbalized Uncertainty in Medical AI: Differential Diagnosis in Commercial LLMs
Househ, Mowafa	AMAL-For-Qatar: A Vision for AI-Mediated Prenatal Care through Comprehensive Fetal Ultrasound Video Analysis
Hsu, William	AngleREG: Data-Free Angle-Aware Quantization for Efficient 3D Medical Image Registration
Hu, Pingge	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Huang, Bingsheng	GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis
Huang, Xiwei	Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos
Hung, Shu Hung	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography
Hussein, Bilal	Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI
Hwang, Seung Ha	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
I
Iakovidis, Dimitris	Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps EndoFSA: Endoscopic Few-Shot Image Generation via Rank-Constrained Parameter Adaptation Semi-supervised GAN-based Segmentation of CTPA Scans for Pulmonary Emboli Boundary Extraction Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction
Iammarino, Martina	Explainable Multimodal Learning for Fetal Electro-Mechanical Signal Modeling Multimodal AI for Medical Image Classification: A Comprehensive Analysis of Image and Text Contributions
Iaquinta, Pasquale	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
Iele, Irene	Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting
Ikeda, Raul	Improving Breast Magnetic Resonance Imaging Workflow Through Deep Learning–Based Exam Prioritization
Imbalzano, Gabriele	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation.
Inglese, Matilde	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
Invento, Emma	Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Ioannou, Eleftherios	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Ioannou, Eleftherios	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Iosif, Chrystalla	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Ippolito, Edy	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Isaksen, Jonas L.	Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
Isla, Arturo G.	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
Islam, Md. Tauhidul	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Isselmann, Ben	Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction
Itkonen, Matti	Advancing Remote Medical Palpation through Cognition and Emotion
Iusi, Miriam	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
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J, Ashmita	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images
Jabloun, Meryem	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Jakobsen, Adam	Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Jakovljevic, Djordje	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Janan, Faraz	Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS
Jatla, Venkatesh	Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets
Jeevan, Gaadha	Automated Auscultatory for Calibration-free Blood Pressure Estimation: Comparative Analysis of Frequency and Morphology-Based Methods
Jeleń, Łukasz	Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs
Jimenez-Blanco, Marta	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Johanson, Miriam	Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Jonnala, Kumar Sai	LOOM Net: An Importance-Aware CNN--Transformer for Multimodal Physiological Signals on Wearables
Jonzén, Karolina	Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models
Joseph, Jayaraj	Automated Auscultatory for Calibration-free Blood Pressure Estimation: Comparative Analysis of Frequency and Morphology-Based Methods In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing
José Ferrari, Ricardo	From Retina to Cognition: Transfer Learning for MMSE-Derived Cognitive Status Classification in Diabetic Retinopathy
Juci Machado Traina, Agma	Online Imputation Analysis for Anomaly Heart Rate Detection in Wearable Data Streams Incomplete information retrieval without imputation: exploiting the correlation among deep features Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Julio de Aguiar, Erikson	Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Jurdana, Janko	Reducing Peripheral False Positives in Prostate Micro-Ultrasound Segmentation Using Slice-Level Gating Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures
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K, Shyam Sundar	Automated Auscultatory for Calibration-free Blood Pressure Estimation: Comparative Analysis of Frequency and Morphology-Based Methods
Kader, Hafez	Label Efficiency for Signal Quality Classification of Respiratory Inductance Plethysmography Using Wearable Sensors
Kaisti, Matti	Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets
Kakas, Antonis	Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study
Kalmady, Sunil	Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Kalogeropoulos, Michael	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
Kamsteeg, Marsha	From Prototype to Data Quality: Usability Findings for a Patient-Facing AI-Empowered Mobile Application for Automatic Cancer Pain Assessment
Kanidou, Elisavet Persefoni	AI-Assisted Secondary Use of Clinical Research Data: A Three-Dimensional Personalization Framework for Scientific Publication Drafting
Kanters, Jørgen K.	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Kanters, Jørgen K.	ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
Karakitsios, Spyros	Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Karakoltzidis, Achilleas	Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Karapintzou, Efterpi	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
Karim, Mazharul	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
Kartsidis, Panagiotis	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Karunarathne, Nethmini	Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation
Karypidis, Grigoris	EndoFSA: Endoscopic Few-Shot Image Generation via Rank-Constrained Parameter Adaptation
Kaul, Padma	Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Kawya, Dasuni	Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
Kehayia, Eva	Wearable data harmonization and quality in Transitional Care monitoring
Khalafbeigi, Anita	Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Khan, Rubayat	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
Khan, Tanveer	SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems
Khodabandelou, Ghazaleh	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Khoiwal, Kavita	Data-Driven Clustering of COVID-19 Patient Records for Mortality Risk Prediction
Klemm, Lisa	Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
Klempir, Ondrej	Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia
Koenigkam dos Santos, Marcel	Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification
Kohail, Sarah	ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
Kolios, Panayiotis	Spatial Transmission Patterns in COVID-19 Infection Networks in Cyprus
Kollias, Spyros	SEARCH Federated Platform: Federated Data Discovery and Learning for Synthetic Data Generation in Healthcare
Kondylakis, Haridimos	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential
Konstantinidis, Evdokimos	Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain Wearable data harmonization and quality in Transitional Care monitoring AI-Assisted Secondary Use of Clinical Research Data: A Three-Dimensional Personalization Framework for Scientific Publication Drafting Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Konstantinidis, Evdokimos	Enabling Reproducible AI Research Through the RAISE Platform: A Cross-Dataset Study on Emergency Department Triage
Kosmidou, Panagiota	Explainable Complication Status Prediction after Tracheostomy Procedure Automated Trachea Segmentation from CT Imaging Using AI Models
Kostolný, Jozef	Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling
Kotoulas, Grigorios	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Koumidou, Dorothea	Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos
Kouroubali, Angelina	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential
Koutras, Ioannis	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos
Koutras, Ioannis	A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos
Koutras, Ioannis	Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos
Koutsiou, Dimitra-Christina	Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction
Kouyoumdjian, Nareen	Chirplet Analysis of Brain State During Snow and Cold Exposure
Kowitz, Lennart	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Krieger, José	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Krishna Rao, Appanna Saketh	Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization Beyond Heatmaps: Self-Evolving Graph Neural Fields for Robust Cephalometric Landmark Detection Topology-Aware Diffusion for Cephalometric Landmark Detection
Kulich, Martin Ján	Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
Kumar, Veena S.	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
Kumarasinghe, Ishan	Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
Kurimoto, Shigeru	Advancing Remote Medical Palpation through Cognition and Emotion
Kurogi, Tadatoshi	Advancing Remote Medical Palpation through Cognition and Emotion
Kuruvikkattil, Aravind	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
Kushal, Kushal	Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization Beyond Heatmaps: Self-Evolving Graph Neural Fields for Robust Cephalometric Landmark Detection
Kyprakis, Ioannis	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Kyriacou, Efthyvoulos	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience AVARIS-SmartPLAIGO: Integrating AI-Driven Decision Support into Cyprus’s National Ambulance Dispatch System Process-Aware Conformal Prediction for Ambulance Response Time Estimation Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study Automated Diaphragmatic Thickness Segmentation in Simulated Neonates Ultrasound Videos
Künas, Cristiano	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
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Labiba, Nishat Nayla	Automated Video Classification during a Deltopectoral Approach for Primary Shoulder Arthroplasty
Lagkani, Filareti	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Lagkani, Filareti	Optimized emotion recognition in naturalistic gaming enviroment using facial action units
Lampen, Peter	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Landi, Francesco	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Laosuwan, Kantinan	Knee Exercise Directional Control and Range of Motion Measurement Device for Physical Therapy Monitoring of Post-Total Knee Arthroplasty Patients
Lapeña-Motilva, José	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Laport López, Francisco	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Lavdaniti, Maria	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
Lazzaro, Ilaria	Integrating Multilayer and Bayesian Networks for Modelling and Analysis of Complex Biomedical Data A Proof-of-Concept Framework for Structured Analysis of Multimodal Machine Learning Literature: a case study on Breast Cancer literature analysis
Le Mouël, Kieran	Automatic detection of EEG electrodes on T1-weighted MR Images
Lebsir, Mélissa	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Lee, Alyssa	Composite Biomarkers for Portable Cardiovascular Risk Prediction Using Minimal Clinical Inputs Low-Effort and Error-Tolerant Eye-Gaze Communication Using Huffman and Max-Heap Encoding for ALS Patients
Lee, Megan	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Leeming, Gary	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Leite Magalhães de Almeida, Victor Rodrigo	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Lekehal, Hammada	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry
Leloup, Gaël	Machine learning to analyze the factors catalyzing coercive practices in Psychiatry
Leo, Simona	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
Ler, Maria Santina	Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening
Li, Jingya	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Li, Xinmin	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Liang, Xinyu	Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli
Liapi, Georgia	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience
Licenziatix, Maria Rosaria	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Licona Cassani, Cuauhtémoc	BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance
Lidon Calvo, Sergio	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Lima, Vinicius	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
Lima, Vinicius	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Lima Dutra, Moisés	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Lin, Jie	Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Lin, Xiaoqing	GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis
Liu, Chaoran	Automated Diaphragmatic Thickness Segmentation in Simulated Neonates Ultrasound Videos
Liu, Hao	An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment
Liu, Weiping	From Optical Flow to Motion Magnitude: An Efficient Framework for Video-Based Hand Tremor Assessment
Liu, Yu-Tzu	Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures
Liu, Yuhang	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Liò, Pietro	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Lodi, Raffaele	Benchmarking Tabular Generative Models for Clinical Data Synthesis
Loizidou, Kosmia	Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis
Loizou, Christos P.	Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Automated Diaphragmatic Thickness Segmentation in Simulated Neonates Ultrasound Videos
Londono-Hoyos, Francisco J.	Toward Inclusive Clinical Research: Automated Structuring of Clinical Trial Protocols Using LLMs
Lopes, Thiago Meneses	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images
Lopiano, Leonardo	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation.
Lourenço, Silvia	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Lovat, Laurence	Continuous Falls Prediction Among Care Home Residents
Low, Daniel	AngleREG: Data-Free Angle-Aware Quantization for Efficient 3D Medical Image Registration
Lozano, Alba	A Modular Platform for Multimodal Clinical Research: Architecture and Case Study on Glaucoma Classification
Lozano-Gutiérrez, Daniel	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
Lu, Ping	BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation
Luca, Angelo De	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Luna, José María	Exploring Transformation-Based Radiomic Features in Breast Cancer
Luna-Perejón, Francisco	Optimized emotion recognition in naturalistic gaming enviroment using facial action units The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Luo, Shiyuan	Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study
Luque Reigal, Nuria	Equity-Aware Risk Prioritization for Mandatory Referral in Nursing-Home Telemedicine Early Bed-Exit Risk Detection in a Real-World Residential Setting Using Pressure-Sensing Sheets: A Feasibility Study
Luz, Saturnino	Modelling the effects of intangible cultural heritage experiences on mental well-being using physiological sensor data and speech signals Developing and Evaluating Candidate Surrogate Outcomes for Alzheimer’s Disease Clinical Trials: A Simulation Study
López-Saratxaga, Cristina	Does synthetic image generation improve explainability? A Concept-Based Case Study in Histopathology
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Maceda, Almudena	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Macedo, Douglas	Comparative Evaluation of CNN Architectures for Asbestos-Related Disease Screening in Public Chest X-ray Datasets Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Machado, João	Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education
Machairas, Ilias	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Macii, Enrico	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Mackie, Sarah	Development of an automated pipeline for the digitisation of paper pain drawings
Madanian, Samaneh	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
Madau, Antonella	Explainable Multimodal Learning for Fetal Electro-Mechanical Signal Modeling
Madeira, Luis	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Magee, Derek	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Maglogiannis, Ilias	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
Magnus Barbosa, Vinicius	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets
Mahajan, Asmita	Data-Driven Clustering of COVID-19 Patient Records for Mortality Risk Prediction
Mahapatra, Sashi	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Mahmoudi, Saïd	End-to-End Multimodal Transformers for Multi-Cohort Alzheimer's Classification
Mahmuod, Arjan	Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Maier, Lars	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Maiorano, Martina Francesca	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
Mair, Frances	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Maity, Sougata	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Malaguerna, Roberta	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Maleckar, Mary M.	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
Maleckar, Molly	DeepECG-Kit: A Practical and Reproducible Framework for ECG Deep Learning
Maleki, Camelia	Counterfactual Reasoning to Executable Clinical Guidelines: A DMN-Based Framework for Diabetes Risk Assessment ا
Malhotra, Suryansh	Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography
Malkiel, Gal	Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD
Malli, Fotini	Semi-supervised GAN-based Segmentation of CTPA Scans for Pulmonary Emboli Boundary Extraction Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction
Mallick, Indranil	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Mallol-Parera, Roger	Towards A Unified and Explainable Record-Level Metric for Synthetic Data Evaluation
Malpica, Norberto	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Mandal, Sayantan	IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection
Manesco, João Renato Ribeiro	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Mann, Steve	State-of-Sleep in Hyperbaric Oxygen Therapy: Wearable EEG Before, During, and After Sleep in HBOT State-of-Flight: Wearable EEG and Motion Context During Flying or Floating Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study Chirplet Analysis of Brain State During Snow and Cold Exposure A Consumer EEG–Driven Word Keyboard for Assistive Communication XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session
Mannberg, Göran	Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models
Manno, Andrea	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Manousos, Dimitris	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Manrique-Cordoba, Juliana	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Manssour, Isabel	A Conversational Agent for Natural Language Access to Public Health Data
Mantegna, Massimiliano	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models
Mantiou, Vasiliki	Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects
Mantiou, Vasiliki	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Mao, Ren	GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis
Mappouras, Stelios	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience AVARIS-SmartPLAIGO: Integrating AI-Driven Decision Support into Cyprus’s National Ambulance Dispatch System Process-Aware Conformal Prediction for Ambulance Response Time Estimation
Marchetti, Antonio	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Marchetto, Francesco	Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis with GANs and Diffusion-based Models
Marco, Antinisca Di	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Marcoccia, Lorenzo	Scaling Digital-Analog Quantum Kernels for Medical Image Classification
Marcon Siqueira, Fábio	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Marcondes Marcacini, Ricardo	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
Marcos Moço Giraldi, João	A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets
Mariano Correia, João Vitor	Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Markaki, Athina	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Marklund, Jakob	Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models
Markulin, Matija	Reducing Peripheral False Positives in Prostate Micro-Ultrasound Segmentation Using Slice-Level Gating Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures
Marples, David	Predicting Emergency Admissions Following Chemotherapy: A Workload Planning Approach
Marques, Victória	A Conversational Agent for Natural Language Access to Public Health Data
Marreiros, Goreti	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs
Marrocco, Claudio	A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology
Marte, Luis	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Martin Andonegui, Cristina	Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain
Martinez, Edgar	Physics-Informed Neural Networks and Domain Decomposition for the Solution of Glioblastoma Invasion 2D model
Martinez-Eguiluz, Maitane	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Martinis, Maria Chiara	A Proof-of-Concept Framework for Structured Analysis of Multimodal Machine Learning Literature: a case study on Breast Cancer literature analysis
Martorell-Llobregat, Carlos	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Martín-Guerrero, José David	Scaling Digital-Analog Quantum Kernels for Medical Image Classification
Martín-Redondo, Miguel	Vulnerability Audits for Connected Medical Devices
Martínez-Miranda, Juan	Design and Initial Evaluation of HelpInMind: An Embodied Conversational Agent for Promoting Adherence in Anxiety Treatment
Martínez-Ávila, José Carlos	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Marzan, Mircea	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Masada, Tomonari	Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings
Masciocchi, Carlotta	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Maselli, Giulio	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines
Masi, Giulia	EDA-Based Arousal Analysis During Gamified Leg Agility in Parkinson's Disease: A Cross-Subject XAI Approach
Masis Solano, Marisse	An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Maskell, Simon	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Masoodian, Masood	Modelling the effects of intangible cultural heritage experiences on mental well-being using physiological sensor data and speech signals
Mathuria, Yp	Data-Driven Clustering of COVID-19 Patient Records for Mortality Risk Prediction
Matijević, Luka	Reducing Peripheral False Positives in Prostate Micro-Ultrasound Segmentation Using Slice-Level Gating Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures
Matsangidou, Maria	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential
Maurel, Pierre	Automatic detection of EEG electrodes on T1-weighted MR Images
Mayo, Ami	Continuous AKI Prediction in the ICU
McCofie, Anthony	Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound
McGale, Chris	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating
McGuire, Philip	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Medeiros Machado, Guilherme	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Mehdi, Ghaya	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Meisner-Kober, Nicole	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
Melanitis, Nikos	Cloud-Based EEG Analysis via the RAISE Platform
Meloni, Eleonora	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Mena-Bernal Rueda, José Joaquín	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Menasalvas Ruiz, Ernestina	RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization
Mennax, Giuseppe	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
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Merayo-Corcoba, Alicia	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
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Merino, Marcos	Toward Inclusive Clinical Research: Automated Structuring of Clinical Trial Protocols Using LLMs
Merli, Francesco	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Merzougui, Hanine	Self-Interpretable Sequential Modelling of Drawing Strategy for Neuropsychological Assessment
Michaelides, Elena	Automated Trachea Segmentation from CT Imaging Using AI Models
Michail, Maria	Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
Michalas, Antonis	SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems
Migliorelli, Carolina	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Miguel Wagner, Harley	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Mihai, Carmen	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential
Milano, Marianna	Music-Induced Reorganization of Functional Brain Networks: A Link Prediction Study in Major Depressive Disorder A Proof-of-Concept Framework for Structured Analysis of Multimodal Machine Learning Literature: a case study on Breast Cancer literature analysis Green-Aware Connectome Classification Using Functional Connectivity: A Cross-Device Power Consumption Analysis Superpixel-Based Graph Representation for CESM Image Classification Using Graph Neural Networks
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Milosevic, Nemanja	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
Milutinovic, Ivana	Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges
Ming, Zuheng	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Miró, Berta	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Miró Amarante, Lourdes	Optimized emotion recognition in naturalistic gaming enviroment using facial action units The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Mitsopoulos, Konstantinos	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Mitsopoulos, Konstantinos	Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest
Molina, Carlos A	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Mondal, Semanto	Multimodal AI for Medical Image Classification: A Comprehensive Analysis of Image and Text Contributions
Monsores, Natan	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Montenegro, Carolina	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses
Montenegro, Carolina	Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Montesinos, Luis	Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
Moraes, Maicon	A Conversational Agent for Natural Language Access to Public Health Data
Morais, Filipa Zoa	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
Moraitopoulos, Alexandros	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Moreno, Ramon	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Moreno-Sánchez, Pedro A.	Does synthetic image generation improve explainability? A Concept-Based Case Study in Histopathology
Moretto, Denis	RAR-Net: Efficient Recurrent Anatomical Refinement for Medical Image Denoising
Moro, Claudia	Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Moro, Matteo	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
Morote, Juan	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Mosca, Umberto	Interpretable HRV-Based Detection of REM Sleep Behaviour Disorder via Explainable Boosting Machines
Moscato, Vincenzo	Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images
Moser, Denis	Aspect and Effect Polarity Classification in German Clinical Text with a Two-Stage Transformer Pipeline
Moskovitch, Robert	Continuous AKI Prediction in the ICU Continuous Falls Prediction Among Care Home Residents
Mosquér, Henrique	Comparative Evaluation of CNN Architectures for Asbestos-Related Disease Screening in Public Chest X-ray Datasets
Mostafa, Sakib	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Mottaz, Anais	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Mourchid, Youssef	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
Mousavirad, Seyed Jalaleddin	Human-Centered Explainability for Medical AI with Metaheuristic Optimization and LLM Reporting
Mouysset, Sandrine	Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment
Msosa, Yamiko	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Muaz, Raden	AMAL-For-Qatar: A Vision for AI-Mediated Prenatal Care through Comprehensive Fetal Ultrasound Video Analysis
Mudhana, Vedha Srilaxmi	Topology-Aware Diffusion for Cephalometric Landmark Detection
Muguerza, Javier	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Mukhopadhyay, Jayanta	Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning
Mulder, Mark	From Prototype to Data Quality: Usability Findings for a Patient-Facing AI-Empowered Mobile Application for Automatic Cancer Pain Assessment
Mulero Ayllón, Elena	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models
Muller, Sara	Development of an automated pipeline for the digitisation of paper pain drawings
Munoz-Torres, Manuel	Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
Munuera, Josep	Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct
Murks, Nina	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Murphy, Darcy	Development of an automated pipeline for the digitisation of paper pain drawings
Muzammel, Muhammad	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
Muñoz Saavedra, Luis	Optimized emotion recognition in naturalistic gaming enviroment using facial action units The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Muñoz Ubando, Luis Alberto	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
Méndez, Olga	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Münter, Lars	Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology
N
Nabeel, P. M.	Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing
Nadal Herraiz, Marta	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
Nadarajah, Ramesh	TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction
Naderi, Nona	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Nairn, Brooke	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
Nappa, Antonio	Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain
Narciandi-Rodríguez, Diego	Opportunistic LoRaWAN-Based Step-Count Monitoring for Postoperative Follow-Up in Low-Connectivity Rural Settings Vulnerability Audits for Connected Medical Devices
Narova, Darina	Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges
Navaux, Philippe	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
Navkar, Nikhil	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
Nawinne, Isuru	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
Nedoshivina, Liubov	PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
Nelissen, Anne	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Nera, Stefano	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Nessiem, Mina A.	Diffusion Models for Stroke Outcome Prediction from Acute CT Perfusion Slices: A Preliminary Study
Nguyen, Khoa	SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems
Nguyen, Minh	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews
Nguyen, Minh	Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection
Ni, Rui	Automated Diaphragmatic Thickness Segmentation in Simulated Neonates Ultrasound Videos
Nibid, Lorenzo	Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Nicolaides, Andrew	Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study
Nicolaou, Andria	Interpretable Machine Learning for Early Sepsis Prediction Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
Nicopolitidis, Petros	Assessing the Quality of Patient-Generated Health Data: the DAMA UK Framework Applied to Real-World Cancer Patient Data
Nieto Gutiérrez, Nezih	MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis
Nifakos, Sokratis	Enabling Reproducible AI Research Through the RAISE Platform: A Cross-Dataset Study on Emergency Department Triage
Nikolaidis, Nikolaos	AI-Assisted Secondary Use of Clinical Research Data: A Three-Dimensional Personalization Framework for Scientific Publication Drafting
Nikolaou, Christos	Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis
Ningjia, Yang	Advancing Remote Medical Palpation through Cognition and Emotion
Nithurshen, K S	SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
Noack, Benjamin	Label Efficiency for Signal Quality Classification of Respiratory Inductance Plethysmography Using Wearable Sensors Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks
Noceti, Nicoletta	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
Nogueira, Ana Filipa Rodrigues	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
Nogué-Infante, Anna	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Nomm, Sven	Self-Interpretable Sequential Modelling of Drawing Strategy for Neuropsychological Assessment
Noya Galluzzo, Roberto	Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
Ntais, Christos	SEARCH Federated Platform: Federated Data Discovery and Learning for Synthetic Data Generation in Healthcare
Ntalampiras, Stavros	Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy
Nygård, Marko	Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models
Näslund, Ulf	Evaluating Schema-Awareness in a Transformer Model for Tabular Synthetic Data Generation of Electronic Health Records
O
O'Connell, Maurice	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Obuaya, Onyeka	Developing and Evaluating Candidate Surrogate Outcomes for Alzheimer’s Disease Clinical Trials: A Simulation Study
Odone, Francesca	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
Ojokoh, Bolanle	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
Okajima, Shotaro	Advancing Remote Medical Palpation through Cognition and Emotion
Oliva, Diego	Human-Centered Explainability for Medical AI with Metaheuristic Optimization and LLM Reporting HCAF-Net: Hierarchical Cross-Attention Fusion for Retinal Disease Classification Towards Mask-Free Multi-Threshold Segmentation of Liver Lesions in CT Images Using a Multi-Objective Evolutionary Approach
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Oliveira, Helder	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography A Generative Pipeline for 3D Breast MRI: Diffusion Models Meet Super-Resolution GANs A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
Oliveira, Hélder P.	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
Oliveira, José Luis	ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets A telemonitoring framework for arteriovenous graft and vital signs A AI-driven document builder for standardized clinical studies Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining An MCP server for OHDSI WebAPI cohort definition GREG MetaView: Comparing Health Databases for Large-scale Observational Research
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Olofsdotter, Susanne	Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Oluwagbemi, Olugbenga	Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance
Onder, Graziano	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Oostingh, Gertie Janneke	Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning?
Orfanos, Stamatios	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
Orini, Stefania	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Ormazabal, Alfredo	Evaluation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data
Orphanidou Vlachou, Eleni	Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis
Otapo, Akeem Temitope	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting
Otavio Santos, Luis	Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
Othmani, Alice	Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
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Pace, Ilaria	Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status
Padeniya, Nisitha	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
Padhan, Jhasketan	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
Pahikkala, Tapio	Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets
Paiola, Pedro Henrique	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Pairon, Jean Claude	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Palazis, Lakis	Interpretable Machine Learning for Early Sepsis Prediction
Palia, Aggeliki	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Pamarti, Sudhakar	AngleREG: Data-Free Angle-Aware Quantization for Efficient 3D Medical Image Registration
Panagopoulos, Christos	Fatigue and Burnout Management in Nursing Staff Using Wearable Data
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Panda, Prasan Kumar	Data-Driven Clustering of COVID-19 Patient Records for Mortality Risk Prediction
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Pandria, Niki	Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time
Panghe, Alexandra	Benchmark Pipeline for Missing Data Imputation in Oncological Electronic Health Records
Pantzaris, Marios	Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis
Panzeri, Davide	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Paolillo, Stefania	Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring
Papageorgiou, Panagiotis	Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis
Papaioannou, Maria	A Secure Processing Platform supporting the European Health Data Space infrastructure A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Papalia, Giuseppe Francesco	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience
Papanikas, Christos-Panagiotis	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Paquié, Dylan	Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment
Paradinha, Raquel	A AI-driven document builder for standardized clinical studies An MCP server for OHDSI WebAPI cohort definition
Park, Chan	State-of-Flight: Wearable EEG and Motion Context During Flying or Floating
Parlak Sönmez, Demet	Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking
Parros Machado de Sousa, Elaine	Online Imputation Analysis for Anomaly Heart Rate Detection in Wearable Data Streams
Passos, Leandro Aparecido	Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis
Patarnello, Stefano	Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings
Patel, Raahil	Automated Video Classification during a Deltopectoral Approach for Primary Shoulder Arthroplasty
Patelli, Rodrigo	Improving Breast Magnetic Resonance Imaging Workflow Through Deep Learning–Based Exam Prioritization
Patera, Martina	RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation.
Patiño, Chito	Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets
Patra, Payel	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Patti, Edoardo	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Pattichis, Constantinos S.	A Secure Processing Platform supporting the European Health Data Space infrastructure Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment Interpretable Machine Learning for Early Sepsis Prediction Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Pattichis, Marios S.	Interpretable Machine Learning for Early Sepsis Prediction Explainable Complication Status Prediction after Tracheostomy Procedure Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets
Paulo Papa, Joao	Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis RAR-Net: Efficient Recurrent Anatomical Refinement for Medical Image Denoising
Pavan Silveira, João Victor	Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration
Pavlou, Marousa	Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset
Pavlova, Irena	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential
Pazaras, Nikolas	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience
Pechenizkiy, Mykola	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
Pecorelli, Fabiano	Multimodal AI for Medical Image Classification: A Comprehensive Analysis of Image and Text Contributions
Pegueroles, Josep	Between Aspiration and Reality – Datasets for Network Security in Healthcare
Pelle, Francesco	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
Pellegrino, Ivana	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
Pereira, Adriano José	Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering
Pereira, Tania	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography A Generative Pipeline for 3D Breast MRI: Diffusion Models Meet Super-Resolution GANs A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
Perez, Julio Cesar	Physics-Informed Neural Networks and Domain Decomposition for the Solution of Glioblastoma Invasion 2D model
Perna, Antonio	Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening
Pernice, Simone	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Perrone, Giuseppe	Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Pertegal-Vega, Miguel Ángel	The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction
Pesci, Alessandro	A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
Petitpas, Yannis	Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues
Petridis, Georgios	Assessing the Quality of Patient-Generated Health Data: the DAMA UK Framework Applied to Real-World Cancer Patient Data
Petrolini, Vinicius	Comparative Evaluation of CNN Architectures for Asbestos-Related Disease Screening in Public Chest X-ray Datasets
Petríková, Dominika	Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology
Petsani, Despoina	Wearable data harmonization and quality in Transitional Care monitoring Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Piamprecha, Pawarit	Knee Exercise Directional Control and Range of Motion Measurement Device for Physical Therapy Monitoring of Post-Total Knee Arthroplasty Patients
Piatriková Ondrigová, Lucia	Improving Quality of Variational Autoencoder Outputs for Ki67 Histological Image Generation
Piazzalunga, Chiara	A sensorized ink pen to predict the risk of handwriting difficulties in primary school Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions
Pignedoli, Veronica	Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI
Pihulski, Dzmitry	Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs
Pilgermann, Michael	Between Aspiration and Reality – Datasets for Network Security in Healthcare
Piovesan, Luca	Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort
Pireddu, Luca	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Pires, Rafael	RAR-Net: Efficient Recurrent Anatomical Refinement for Medical Image Denoising
Pitris, Costas	Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction
Pitris, Costas	Spatial Transmission Patterns in COVID-19 Infection Networks in Cyprus
Pitsouli, Chrysoula	Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images
Pičulin, Matej	From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis
Placidi, Giuseppe	GAN-based Adaptive Radial Subsampling and Reconstruction for Brain MRI
Pohl, Christofer	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Poli de Figueiredo, Carlos E.	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
Ponzio, Francesco	Time-Domain GAN Compression of Intracranial EEG with Latent Quantization
Popello, Valeria	A Proof-of-Concept Framework for Structured Analysis of Multimodal Machine Learning Literature: a case study on Breast Cancer literature analysis
Popoola, Olusegun	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Posselt, Gernot	Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery
Postiglione, Marco	Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D
Poulimenos, George	Out-of-Distribution Detection in Drug-Drug Interactions via Supervised Contrastive Learning
Poveda-Perez, Marina	Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Pradeep, Anagha	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
Pradère, Jean-Philippe	From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish
Prentza, Nicoletta	A Secure Processing Platform supporting the European Health Data Space infrastructure Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Priego, Mauricio	Human-Centered Explainability for Medical AI with Metaheuristic Optimization and LLM Reporting
Prieto, Eloy	Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose
Prieto, José-Tomás	A Simulated Federated Analysis of MS-Induced Brain Lesions
Prieto-Fernández, Natalia	Opportunistic LoRaWAN-Based Step-Count Monitoring for Postoperative Follow-Up in Low-Connectivity Rural Settings
Prieto-Santamaría, Lucía	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease
Prinzi, Francesco	Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening
Protopopescu, Camelia	Benchmark Pipeline for Missing Data Imputation in Oncological Electronic Health Records
Pryss, Rüdiger	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Puntorieri, Roberto	Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines
Purkayastha, Saptarshi	AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning
Pérez Barrera, Juan Luis	Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study
Pérez Espinosa, Humberto	Burnout Syndrome Identification from Electrodermal Signals Using Machine Learning Algorithms
Pérez Sancristóbal, Inés	RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization
Pérez Vargas, Daniel	Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models
Pérez-Martínez, David Andrés	Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video
Püttmann, Simon	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Q
Quach, Minh	Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement
Que, Wenge	GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
Quesada-Charneco, Miguel	Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
Quinlan, Phil	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Quinn, Thomas	From Optical Flow to Motion Magnitude: An Efficient Framework for Video-Based Hand Tremor Assessment
R
Ragel, Roshan	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
Rahman, Alexander	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Rahman, Ariana	Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization
Raj, Kiran V	Automated Auscultatory for Calibration-free Blood Pressure Estimation: Comparative Analysis of Frequency and Morphology-Based Methods In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing
Ram, Keerthi	Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder
Ram V S, Sharan	Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing
Ramaraj, Thiruvarangan	Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation
Ramella, Sara	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
Ramos García, Axel Alejandro	BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance
Ramos-Soto, Oscar	HCAF-Net: Hierarchical Cross-Attention Fusion for Retinal Disease Classification
Ramírez Quintana, Juan Alberto	Burnout Syndrome Identification from Electrodermal Signals Using Machine Learning Algorithms
Raquel, Urena	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction Benchmark Pipeline for Missing Data Imputation in Oncological Electronic Health Records
Rashid, Farhan Ahnaf	Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
Ravaut, Frederic	Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data
Ravier, Philippe	Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals
Rawas, Soha	A Quantum-Inspired Framework for Secure and Intelligent Healthcare Systems in Pandemic-Scale Response
Rawat, Arti	Transformer-Based Cardiovascular Event Prediction Using National Claims Data
Real, Alison	Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models
Rebaudet, Stanislas	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Rebelo, Marina	Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization
Rechichi, Irene	Interpretable HRV-Based Detection of REM Sleep Behaviour Disorder via Explainable Boosting Machines
Recober, Judith	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Reichenpfader, Daniel	An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries
Reid, Anne-Marie	Virtual Reality to Teach Empathy to Medical Students
Reinheimer, Isabel Cristina	A Case-Based and Clustering Framework for Diverse Counterfactual Explanations
Relton, Samuel	From Optical Flow to Motion Magnitude: An Efficient Framework for Video-Based Hand Tremor Assessment BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions
Rendon-Aguilar, Diego	Human-Centered Explainability for Medical AI with Metaheuristic Optimization and LLM Reporting
Rentoumis, Anastasios	Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring
Reppou, Sofia	Virtual Reality to Teach Empathy to Medical Students
Riccio, Giuseppe	Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D
Rich-Ruiz, Manuel	Equity-Aware Risk Prioritization for Mandatory Referral in Nursing-Home Telemedicine Early Bed-Exit Risk Detection in a Real-World Residential Setting Using Pressure-Sensing Sheets: A Feasibility Study
Riegler, Michael	Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA
Rigas, Emmanouil	Explainable AI in Medicine: Trends and Educational Implications
Rijo, Rui	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Rio-Torto, Isabel	Understanding Chest X-ray Vision Representations with DeViL
Rivas-Pérez, Manuel	The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction
Rivera-Sanchez, Laura	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Rizov, Radoslav	VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential
Roberts, Angus	VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care
Roberts, Trudie	Virtual Reality to Teach Empathy to Medical Students
Rocha, Cláudia D.	Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery
Rodrigues, Adulai	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Rodriguez, Gustavo	Physics-Informed Neural Networks and Domain Decomposition for the Solution of Glioblastoma Invasion 2D model
Rodriguez-González, Alejandro	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization
Rodriguez-Leon, Ciro	Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics
Rojas, Raul Fernandez	Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning
Rojas Soto, Emmanuel	An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Romano, Antonio	Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D
Romanopoulou, Evangelia	Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs
Romero Ante, Juan David	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity
Roosan, Don	Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury
Rosa, Joaquim	An MCP server for OHDSI WebAPI cohort definition GREG MetaView: Comparing Health Databases for Large-scale Observational Research
Rosa, Mariana	A telemonitoring framework for arteriovenous graft and vital signs
Rosales-Gurmendi, Diana S. M.	Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports
Rosales-Gurmendi, Diana Sofia Milagros	A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis
Rosas-Ordaz, Luis Fernando	Towards Mask-Free Multi-Threshold Segmentation of Liver Lesions in CT Images Using a Multi-Objective Evolutionary Approach
Roschildt Pinto, Alex Sandro	Comparative Evaluation of CNN Architectures for Asbestos-Related Disease Screening in Public Chest X-ray Datasets Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
Rossi, Domenico	Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring Digital Twin-based 3D Reconstruction for Real-Time Body Composition Estimation Using 2D Images and Deep Learning-based Segmentation
Rossi, Fabrizio	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Rossi Luiz, Leonardo	Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation
Roussakis, Yiannis	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Rowlands, Thomas	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Rubio-Martín, Sergio	Opportunistic LoRaWAN-Based Step-Count Monitoring for Postoperative Follow-Up in Low-Connectivity Rural Settings Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation
Ruch, Patrick	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Ruddle, Roy	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Ruffa, Maria Cristina	A Data-Driven Approach to Support Clinical Renal Replacement Therapy
Ruga, Tommaso	SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview
Ruiz, Duncan	A Conversational Agent for Natural Language Access to Public Health Data
Rupasinghe, Chamath	Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
Rushdi, Muhammad	An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision
Russo, Ciro	A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology
Ríos-Sánchez, Belén	Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease
S
S. Panayides, Andreas	Advancements and Technology Trends in Robotic Surgery VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential Interpretable Machine Learning for Early Sepsis Prediction Explainable Complication Status Prediction after Tracheostomy Procedure Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction Automated Trachea Segmentation from CT Imaging Using AI Models
Sabater-Navarro, Jose Maria	Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity Early Validation of a Force-Aware LfD Framework for Robotic Surgery
Saboori, Arash	Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models
Sabty, Caroline	ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction
Saeki, Masaomi	Advancing Remote Medical Palpation through Cognition and Emotion
Saesen, Robbe	Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience
Safarli, Gulzar	Title: Asymmetric Cross-Cohort Generalization in Alzheimer’s Disease Classification: A Bidirectional External Validation Study
Saito, Priscila Tiemi Maeda	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
Sala, Claudia	Benchmarking Tabular Generative Models for Clinical Data Synthesis
Salami, Fati Oiza	A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis
Salanova Grau, Josep Maria	Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Saldano, Federica	Superpixel-Based Graph Representation for CESM Image Classification Using Graph Neural Networks
Salomao, Soraya Jesus	Self-Interpretable Sequential Modelling of Drawing Strategy for Neuropsychological Assessment
Sanchez Contreras, J. Jair	Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice
Sanchez-Sotelo, Pablo	Automated Video Classification during a Deltopectoral Approach for Primary Shoulder Arthroplasty
Sanjuluca, Tomaz	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Sansone, Carlo	Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis
Santana, Marcos	RAR-Net: Efficient Recurrent Anatomical Refinement for Medical Image Denoising
Santinha, João	A Generative Pipeline for 3D Breast MRI: Diffusion Models Meet Super-Resolution GANs
Santos, Cid	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA
Santos, Daniel	RAR-Net: Efficient Recurrent Anatomical Refinement for Medical Image Denoising
Santos, Mauricius	Comparative Evaluation of CNN Architectures for Asbestos-Related Disease Screening in Public Chest X-ray Datasets
Santos Bittencourt Junior, José Adenaldo	Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering
Santos Díaz, Alejandro	BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning
Santos Martin Dias, Gabriel	Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models
Sarafidis, Kosmas	Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos Automated Diaphragmatic Thickness Segmentation in Simulated Neonates Ultrasound Videos
Sarafidis, Kosmas	A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos
Sardi, Feyrouz Sonia	Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction
Sarigiannis, Dimosthenis	Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure
Sariyar, Murat	Temporal Latent Priors Improve Sequential Generative Modeling of Full-Length 12-Lead ECGs
Sarkar, Ram	HCAF-Net: Hierarchical Cross-Attention Fusion for Retinal Disease Classification
Sassi, Roberto	Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy
Satagopam, Venkata	Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports
Savelonas, Michalis	Semi-supervised GAN-based Segmentation of CTPA Scans for Pulmonary Emboli Boundary Extraction Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction
Savjani, Ricky	AngleREG: Data-Free Angle-Aware Quantization for Efficient 3D Medical Image Registration
Scarpato, Noemi	The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults
Schaan, Beatriz	Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions
Schiza, Eirini	A Secure Processing Platform supporting the European Health Data Space infrastructure A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction
Schizas, Eirini	Mixed Reality in Electronic Health Records: User Requirements and Evaluation
Schmieder, Astrid	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Schobel, Johannes	A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies
Schouten, Rianne	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
Schreier, Guenter	Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis
Schuiki, Johannes	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
Schuller, Björn W.	Diffusion Models for Stroke Outcome Prediction from Acute CT Perfusion Slices: A Preliminary Study
Schwartz, Ida	Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries
Schwarz, Melanie	Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery
Schöeffmann, Klaus	Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis with GANs and Diffusion-based Models
Schürz, Melanie	Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy
Segura, Oier	XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction
Selau, Bento	Self-Interpretable Sequential Modelling of Drawing Strategy for Neuropsychological Assessment
Sellountos, Evripides	Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT
Sepulcre, Jorge	Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease
Sequeira, Ana	Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection
Sequeira, Carlos	Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs
Serrano-García, Antonio	Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records
Sevillano-Ramos, José Luis	The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction
Shaban, Khaled	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
Shabir, Dehlela	Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators
Shanthakumar, Sujay	In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans
Shantsila, Eduard	High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions
Shapovalenko, Kateryna	ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
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Sherlley Casimiro Onofre, Alexandre	Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes
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Tabak, Monique	Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data
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Xavier, William	REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways
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