IEEE CBMS 2025: IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS

A
Abdeddaïm, Saïd	Ontology Similarity Prediction: UMLS
Abdel-Nasser, Mohamed	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms
Abella, Monica	Automatic calibration for CT bed stitching based on Fourier-Mellin
Abella, Monica	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations CT Sinogram inpainting for truncation artifact correction and Field-of-view extension Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging
Abril Pareja, Alejandra	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
Achararit, Paniti	A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
Adame, Diego	Adapting a Segmentation Foundation Model for Medical Image Classification Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Adams, Lisa	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Afonso, Luis Carlos	A comparative analysis of AI-based solutions for clinical documentation An embedding-based method for processing medical audio into structured reports
Aguelal, Hamza	ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy
Ahmed, Fatmaelzahraa	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Aisopos, Fotis	Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph
Al-Ali, Abdulaziz	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Al-Jalham, Khalid	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Al-Tuweity, Jawaher	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
Albertini, Marcelo	Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
Ali, Yaqeen	Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
Allotta, Benedetto	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Almeida, João Rafael	A comparative analysis of AI-based solutions for clinical documentation An embedding-based machine learning solution for medical concept mapping
Alonso-Oláiz, Gonzalo	AI-Driven Survival Prediction in Pancreatic Cancer
Alsheghri, Ammar	A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning
Alvarez, Sergio A.	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders Machine learning prediction of heart health status from mobile PPG measurements
Alvarez Arenas, Juan Ignacio	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
Alvarez Perez, Andrea	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis
Alves, Domingos	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Alves Garcia, Ana Lara	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline
Alzein, Zahraa	Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging
Amodeo, Maria Elisa	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Andberg, Sami	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Andries, Mihai	An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
Anselmo, Alessandro	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Antani, Sameer	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
Apumayta, José	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Araki, Kenji	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Araujo, Isabela	Abbreviation Identification and Expansion in Real-World Clinical Narratives
Araújo Resque, Stephany Jorge	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Arredondo, Maria Teresa	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
Arsalan, Muhammed	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Aspiotis, Vasileios	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
Assunção, Joaquim V. C.	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Cronic Kidney Diseases Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation
Avedano, Daly	Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Azuara-Dominguez, Ruben Omar	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
B
Backes, André R	Infrared breast image segmentation using deep neural networks on thermographic images Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
Baez-Lugo, Sebastian	Explainable AI and trust, design methodologies to explore patients’ perspective ANT - Advancing Neurofeedback (in Tinnitus)
Balakrishnan, Shidin	CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning
Baldacci, Fabien	Automatic detection of pleural plaques presence in asbestos-exposed individuals
Bamidis, Panagiotis D.	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
Baranauskas, José Augusto	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Barba Beltrán, Adrián	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
Barone, Mariano	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Barranco Hernandez, Jaime	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Barreira, Noelia	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
Barros, Vicente	An embedding-based machine learning solution for medical concept mapping
Barzola-Monteses, Julio	Current Situation of Serious Games to Support Ecuadorian Health
Basile, Ilaria	Remote Monitoring of Rehabilitation Exercises Through Motion Assessment
Basso, Curzio	From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Basukoski, Artie	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
Batista, Eva	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
Batista, Lucas	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Batista Soares, Enzo Gabriel	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
Beatriz Carvalho, Maria	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Bednarik, Roman	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Beerbaum, Philipp	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Ben Lala, Ilyes	Automatic detection of pleural plaques presence in asbestos-exposed individuals
Benítez-Andrades, José Alberto	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes AI-Driven Survival Prediction in Pancreatic Cancer
Berge, Line I.	Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
Bergström, Göran	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
Berliano Handoko, Aaron	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Bernabeu, Andrea	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Bernardi, Filipe	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Bernhard, Delphine	Automated Coding of French Emergency Calls Using BERT
Bertgren, Amanda	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
Beser-Robles, Maria	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
Bhavsar, Arnav	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
Billis, Antonis	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
Bini, Fabiano	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Blomberg, Anders	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
Boesso, Simone	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
Borgli, Hanna	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
Bornet, Alban	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
Bosques-Palomo, Beatriz A	Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Botelho de Miranda Onofre, Fabiana	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
Bougiatiotis, Konstantinos	Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph
Bouhnik, Anne-Deborah	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
Bressem, Keno	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Bria, Alessandro	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Bucci, Alessandro	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Buch, Vivek	Intraoperative Absolute Depth Estimation in MVD Surgery
Buendía-García, Félix	Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections
Bulcão Neto, Renato de Freitas	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Bücheler, Vinzent	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
C
C. de Oliveira, Adonias	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
Cabrera-Bean, Margarita	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Cabrera-Umpierrez, Maria Fernanda	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
Caetano Junior, Sérgio	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Cai, Danpeng	Advances on Real Time M/EEG Neural Feature Extraction
Cai, Danpeng	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
Cai, Danpeng	ANT - Advancing Neurofeedback (in Tinnitus)
Caicedo-Quiroz, Rosangela	Current Situation of Serious Games to Support Ecuadorian Health
Calovoulos, Alexia	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture 3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
Camino, Covadonga	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Campos, Gloria	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
Campos, Leonardo	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
Campos Carvalho, Cédric	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Cantón-Habas, Vanesa	Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN
Capel, Camila	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Cardona-Huerta, Servando	Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Carles, Montserrat	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
Carneiro, José	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Carrasco, Lucía	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
Carrasco-Ribelles, Lucía A.	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Carretero, Jesús	Detection of active and latent tuberculosis with explainable deep learning ensembles
Carvalho, Rafaela	Automating Tissue Segmentation and Quantification for Wound Healing Assessment
Casadei, Valentina	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
Castellá-Malonda, Jaime	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
Castro Ramirez, John Esteban	Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Caviglia, Daniele	Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging
Cazzolato, Mirela Teixeira	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
Cederroth, Christopher	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Celik, Turgay	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes
Cevallos-Torres, Lorenzo	Current Situation of Serious Games to Support Ecuadorian Health
Chaussalet, Thierry	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
Chemudupati, Soumik	MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker
Chen, Danny Z.	Adapting a Segmentation Foundation Model for Medical Image Classification
Chen, Mingxi	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Chen, Qiao	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Cheng, Linqi	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Chianumba, Ernest	Automated Regulatory Classification of Mobile Medical Apps
Cho, Sang Hoon	Intraoperative Absolute Depth Estimation in MVD Surgery
Choi, Daegil	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
Choutas, Vasileios	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
Cima, Rilana	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Cisnal, Ana	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
Cittadini, Giuseppe	From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Coilly, Audrey	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Colasanto, Davide	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Cong, Fengyu	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Conrado, Rafael	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
Conti, Michele	From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Copado, Pedro	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Copson, Bridget	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
Cordelli, Ermanno	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Corral Fontecha, David	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data AI-Driven Survival Prediction in Pancreatic Cancer
Corrales Alonso, Daniel	Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach
Correia, Ricardo	Benchmarking institutions’ health outcomes with clustering methods
Costa, Eliana	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Costa Da Silva, Josenildo	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Cotorobai, Alexandre	A Federated Random Forest Solution for Secure Distributed Machine Learning
Coutinho, Luciano	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Coutinho García, Katherine	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
Coutinho-Almeida, João	Benchmarking institutions’ health outcomes with clustering methods
Crepaldi, Gabriel	Nuclear segmentation in histological images using multiple attention system mixing
Crespan Ribeiro, Pedro Henrique	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline
Crespo-Álvaro, Arturo	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes AI-Driven Survival Prediction in Pancreatic Cancer
Cubillas Mercado, Juan José	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
Cummins, Easton	Machine learning prediction of heart health status from mobile PPG measurements
Cuocolo, Renato	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
D
D'Efayes, Lara	Advances on Real Time M/EEG Neural Feature Extraction ANT - Advancing Neurofeedback (in Tinnitus)
da Silva, André Fernando Quaresma	Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
da Silva, Bibiana Quatrin Tiellet	Towards Automated Placental Screening: Instance Segmentation in Clinical Images Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
da Silva, Nayara	Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
Da Silva E Silva, Francisco Jose	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Daul, Christian	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
De Abreu Batista Júnior, Antonio	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
de Aguiar, Erikson J.	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data
de Andrade, Leandro Prado	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants
de Faria, Paulo Rogério	Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
de Jesus, Raphael Abreu Farias	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
De Maria, Marida	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
de Oliveira, Domingos	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
de Paula E Silva Ribeiro, Rodrigo	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains Towards Automated Placental Screening: Instance Segmentation in Clinical Images
Decoeur, Fanny	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture 3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
Deilam Salehi, Emad	Generative-AI Solutions for Connecting Seniors and Healthcare Providers
Demčáková, Katarína	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Denis de Senneville, Baudouin	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture Automatic detection of pleural plaques presence in asbestos-exposed individuals 3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Desco, Manuel	CT Sinogram inpainting for truncation artifact correction and Field-of-view extension Automatic calibration for CT bed stitching based on Fourier-Mellin
Desco, Manuel	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging
Desco Menéndez, Manuel	Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
Desier, Kylian	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Di Feola, Francesco	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
Diaz Honrubia, Antonio Jesus	Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Digiacomo, Federico	Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering
Ding, Daniel	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
Dinser, Mortiz	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Dixon, William	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
Do Carmo, Êrica P.	FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging
Do Nascimento, Marcelo	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Do Nascimento, Marcelo Zanchetta	Nuclear segmentation in histological images using multiple attention system mixing Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
Dournes, Gaël	Automatic detection of pleural plaques presence in asbestos-exposed individuals
Drotár, Peter	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features Augmented Speech Generalization in Parkinson’s disease detection
Duric, Adrian	Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence
Dyllon de Macedo, Douglas	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
Défayes, Lara	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
E
Ebeid, Islam A.	Adapting a Segmentation Foundation Model for Medical Image Classification
Edvall, Niklas	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Engelke, Milena	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Enríquez, Jose Antonio	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
Epelde Unanue, Gorka	Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Escalante-Ramírez, Boris	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
Escudero-Arnanz, Óscar	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
Esparza Sanchez, Juan	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
F
F. Al-Battal, Abdullah	A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique
F. Del Cerro, Carlos	Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging
Facq, Laurent	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture 3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Fantazzini, Alice	From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Farina, Lorenzo	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
Fernandes, Henrique	Infrared breast image segmentation using deep neural networks on thermographic images
Fernandes Cota, Érika	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
Fernandez, Jonah	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
Fernández, Carlos	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations
Fernández Arias, Sara	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Ferrari, Ricardo José	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods
Ferreira, Tarcísio	AI-driven Lung-RADS Classification on CT Reports
Fialho, Renan	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Fico, Giuseppe	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
Figueroa, Susely	BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale
Flores, Christopher	Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach
Forestier, Germain	Automated Coding of French Emergency Calls Using BERT
Fraile, Juan Carlos	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
Franceschiello, Benedetta	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Franch-Pato, Clara Margarita	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes
Freitas, Alberto	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Freitas, André Dias	Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
Fricker, Paul	BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale
Frigo, Luciana Bolan	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
Fu, Bin	Adapting a Segmentation Foundation Model for Medical Image Classification Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Fuertes, Clara	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes
Fumagal-González, Gerardo Alejandro	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Furst, Jacob	Enhancing Pulmonary Nodule Localization based on Latent Representations
Félix, Têmis	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
G
G. Marques, Antonio	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
Gallardo, Carlos	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes
Gambini, Juliana	A Transformer-Based Anomaly Detection System for OCT Image Embeddings
Garcia Blas, Javier	Automatic calibration for CT bed stitching based on Fourier-Mellin Detection of active and latent tuberculosis with explainable deep learning ensembles
Garcia-Salicetti, Sonia	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
García Barriocanal, Elena	ICD code assignment from clinical text: impact of document composition
García Marcos, Pablo	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
García-Ordás, Maria Teresa	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes AI-Driven Survival Prediction in Pancreatic Cancer
García-Sáez, Gema	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes
Garibi Miranda, Diego A.	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
Garza-Abdala, Jorge Alberto	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Gautam, Sushant	Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models
Gayoso-Cabada, Joaquín	Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections
Gazda, Jakub	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Gaêta-Araujo, Hugo	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Gerard, Jean-Marc	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
Gerdes, Martin	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes
Ghimire, Sarala	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes
Giannakeas, Nikolaos	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Gil Hoed, Antonio	Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
Giordano, Daniela	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Giovagnoli, Eleonora	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Gninenko, Nicolas	Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users
Goldgof, Dmitry	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Gomez, Hector	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Gomez-Vela, Francisco A.	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Gontier, Etienne	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture 3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
Gonzalez Mendes, Jose Luis	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
González, Víctor M.	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
González Calatayud, Alberto	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
González Campos, Edgar Rodrigo	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
González-Monje, Mariana Hernández	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
Gonçalves, Carolina	An embedding-based method for processing medical audio into structured reports
Gonçalves Pires, Rafael	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
Gouveia, Pedro	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
Grasset, Olivier	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Gregori, Johannes	Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
Grellert, Mateus	Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder
Grevisse, Christian	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation
Grosset, Christophe F.	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture
Grosset, Christophe F.	3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
Groves, Emily	Advances on Real Time M/EEG Neural Feature Extraction Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users ANT - Advancing Neurofeedback (in Tinnitus)
Grönlund, Christer	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
Gu, Pengfei	Adapting a Segmentation Foundation Model for Medical Image Classification Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Guarrasi, Valerio	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Guerrero, Jaime	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Gumiero, Alessandro	Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering
Gurrola, Nayeli	Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Gutierrez, Marco Antonio	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
Guzman de Villoria Lebiedziejewski, Juan	Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
Gómez del Moral Herranz, Rodrigo Martín	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
Gómez Ortiz, David	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
H
H. Behjat, Harry	Advances on Real Time M/EEG Neural Feature Extraction
H. Raffa, Lina	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
Halimi, Abdelghani	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Halvorsen, Pål	Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
Hammer, Hugo Lewi	Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence
Han, Qianhao	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
Hannonen, Sanna	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Hao, Xinyu	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Harscoat, Sébastien	Automated Coding of French Emergency Calls Using BERT
Hassan, Mariam	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms
Hatle, Anne Therese	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study
Haugland, Kamilla	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
Hausmann, Jacqueline	Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Henchoz, Nicolas	Explainable AI and trust, design methodologies to explore patients’ perspective Advances on Real Time M/EEG Neural Feature Extraction ANT - Advancing Neurofeedback (in Tinnitus)
Hering, Alessa	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Hermosilla, Blanca	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations
Hernandez, Mikel	Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Hernandez-Rubia, Javier	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Hernando, M. Elena	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes
Hieber, Daniel	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Hireš, Máté	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features Augmented Speech Generalization in Parkinson’s disease detection
Holthausen Nunes, Daniel	Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
Hong, Jisun	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
Honorato, Eduardo	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications
Hose, Katja	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Houmani, Nesma	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Htun, Ethan	Intraoperative Absolute Depth Estimation in MVD Surgery
Hugo Bastos, Victor	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Husebo, Bettina	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
Huy, Ta Duc	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Hyunjin Kwon, Elizabeth	Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures
I
Innocenti, Bianca	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
J
Jabarulla, Mohamed Yaseen	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Janse van Rensburg, Willem	Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models
Jarčuška, Peter	Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features
Jia, Yiwei	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Jiang, Lili	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Jiang, Shiyu	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Jiyean, Kwon	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Joaquim, João Pedro	Abbreviation Identification and Expansion in Real-World Clinical Narratives
Johnsson, Åse	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
Jung, Jaehyo	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
Jungbäck, Nicola	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Junod, Nathan	Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures
Jurgens, Corrine Y.	Machine learning prediction of heart health status from mobile PPG measurements
Juste Urraca, David	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing
K
Kaarniranta, Kai	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Kader, Hafez	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Kakaei Siahkal, Yasaman	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Kakas, Antonis	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Kalkhof, John	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
Kandasamy, Nichalini	A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories.
Kandiyana, Abhiram	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds
Kaplun, Dmitrii	Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
Karthan, Maximilian	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Kavasidis, Isaak	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Khalid, Sara	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Kikidis, Dimitrios	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Kleinjung, Tobias	Advances on Real Time M/EEG Neural Feature Extraction Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users ANT - Advancing Neurofeedback (in Tinnitus)
Ko, Daehwan	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Ko, Jae Eun	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Kogolo, Franklyn	Automated Regulatory Classification of Mobile Medical Apps
Koivisto, Anne M.	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Konstam, Marvin A.	Machine learning prediction of heart health status from mobile PPG measurements
Koume, Mamoudou	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
Kounis, Ilias	A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates
Kourbane, Ikram	An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
Koutny, Tomas	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
Krithara, Anastasia	Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph
Kumaradevan, Punithakumar	Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED
Kungwanchai, Sutheera	A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
Kyriacou, Efthyvoulos	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Kärkkäinen, Tommi	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Kärkkäinen, Virve	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
König, Caroline	Improving Diabetic Retinopathy classification using class imbalance correction techniques
L
La Gatta, Valerio	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Lafitte, Luc	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Lalande, Alain	Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
Lam, Yik Ki	Machine learning prediction of heart health status from mobile PPG measurements
Langguth, Berthold	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Lapeña Motilva, Jose	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
Larose, Clement	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
Latorre de Oliveira, Domingos Lucas	Nuclear segmentation in histological images using multiple attention system mixing
Lau, Jim	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
Lauciello, Nicolò	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Laurieri, Nicola	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Le, Hieu Hanh	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Lebot, Samuel	Automated Coding of French Emergency Calls Using BERT
Lee, Christopher S.	Machine learning prediction of heart health status from mobile PPG measurements
Lee, Hwanhee	Intraoperative Absolute Depth Estimation in MVD Surgery
Lee, Jihun	LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives
Lee, Jinhee	Intraoperative Absolute Depth Estimation in MVD Surgery
Lee, Junghoon	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Lee, Sanghoon	Intraoperative Absolute Depth Estimation in MVD Surgery
Leidi, Mauro	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Lemeunier, Clément	BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale
Lezos, Dimitrios	Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples
Li, Huimin	Adapting a Segmentation Foundation Model for Medical Image Classification Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Liang, Zhaohui	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
Liao, Zhibin	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Licona Cassani, Cuauhtémoc	Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance
Liesche-Starnecker, Friederike	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Lima, Vinicius	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Lino Garcia, Gabriel	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline
Liu, Junyi	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
Liu, Yuansan	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
Lizier, Mario Augusto de Souza	A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants
Lladó, Xavier	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Lledó, Belén	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Lloret Iglesias, Lara	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
Lopez, Beatriz	Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders
Lopez Gonzalez, Laura	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data AI-Driven Survival Prediction in Pancreatic Cancer
Lopez-Escamez, Jose Antonio	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Lopez-Tiro, Francisco	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
Lorente, Antonio	ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations
Lorenzo, Guillermo	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Lukkari, Tanja	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study
Luque, Lydia	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Luz, Saturnino	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
López-Fernández, Aurelio	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Löser, Alexander	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
M
M. Vasconcelos, Maria João	Automating Tissue Segmentation and Quantification for Wound Healing Assessment
Macedo, Alessandra	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Mackie, Sarah	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
Madeira, Luis	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Maggi, Daria	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Magliocco, Marco	From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Maity, Gouranga	Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
Malpica González de Vega, Norberto Antonio	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Manchia, Arianna	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
Manfrini, Silvia	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Manna, Mattia	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
Mantegna, Massimiliano	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Marcrum, Steven	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Marini, Niccolo	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
Marinozzi, Franco	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Marrocco, Claudio	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Martinez Perez, Juan Manuel	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
Martino, Mariangela	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Martins, Alessandro Santana	Nuclear segmentation in histological images using multiple attention system mixing CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Marty, Brice	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study
Martí-Bonmatí, Luis	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
Martín-Palomeque, Paula	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
Martínez de Benito, Fernando	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
Martínez Ávila, José Carlos	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
Massaro, Jacqueline C.	Machine learning prediction of heart health status from mobile PPG measurements
Mata, Christian	A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients
Matsuo, Ryosuke	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Mazal, Alejandro	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Mazurek, Birgit	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
McCofie, Anthony	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds
Medeiros, Gabriel	Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Melo, Renata	Infrared breast image segmentation using deep neural networks on thermographic images
Menad, Safaa	Ontology Similarity Prediction: UMLS
Menad, Safaa	Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Menasalvas Ruiz, Ernestina	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
Mendes, Brenda Caroline Santos	Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder
Menéndez Fernández-Miranda, Pablo	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
Merayo-Cordoba, Alicia	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
Meriaudeau, Fabrice	Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
Merino-Barbancho, Beatriz	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
Meyer, Cora	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Meyer, Martin	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Michelle, Noga	Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED
Miltiadous, Andreas	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Mineo, Raffaele	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Miranda, Aline	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Mittal, Avni	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
Moalla, Nejib	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Molina Román, Yusdivia	Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
Monsivais Molina, Mario Alexis	Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Morales, Analúcia	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
Morales, Ruth	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Moreira, Rayele	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Moreno Perdomo, Delia Aminta	Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Moreno Reyes, Nicolas	Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Moro, Claudia	Abbreviation Identification and Expansion in Real-World Clinical Narratives
Moro, Gabriel B.	Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation
Moscato, Vincenzo	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Motta, Margherita	Explainable AI and trust, design methodologies to explore patients’ perspective
Moura, Eduardo	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
Mouton, Peter	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Mukhopadhyay, Anirban	MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
Mulero Ayllón, Elena	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Muller, Joris	Automated Coding of French Emergency Calls Using BERT
Munir, Khushboo	A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique
Murphy, Darcy	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
N
Naas, Adrian	Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment
Naas, Adrian	Advances on Real Time M/EEG Neural Feature Extraction Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users ANT - Advancing Neurofeedback (in Tinnitus)
Nadreskar, Kjersti	Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept
Nafea, Mohamed	Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database
Najdenovska, Elena	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Nawabi, Jawed	COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
Nazrul, Sarwar	Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database
Neff, Patrick	Advances on Real Time M/EEG Neural Feature Extraction Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment ANT - Advancing Neurofeedback (in Tinnitus)
Neves, Leandro	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Neves, Leandro Alves	Nuclear segmentation in histological images using multiple attention system mixing Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
Nguyen, Hang	BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale
Niemiec, William	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
Noack, Benjamin	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Nonthasaen, Pawaree	A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
Ntagka, Niki Eleni	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis
Ntetska, Aimilia	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Nunez, Jose A.	Adapting a Segmentation Foundation Model for Medical Image Classification Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Näslund, Ulf	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
O
Obuaya, Onyeka	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
Ochoa-Ruiz, Gilberto	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
Oeltze-Jafra, Steffen	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Oguchi, Masato	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Oikonomou, Emmanouil D.	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Oladipo, Eyiara	Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database
Olivatto, Mauro Marcel	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG
Oliveira, Hélder	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
Oliveira, José Luís	A comparative analysis of AI-based solutions for clinical documentation An embedding-based method for processing medical audio into structured reports An embedding-based machine learning solution for medical concept mapping A Federated Random Forest Solution for Secure Distributed Machine Learning
Oliveira, Marcelo	AI-driven Lung-RADS Classification on CT Reports
Oliveira Suárez, Rebeca	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Oliver, Arnau	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Olmo, Gabriella	Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering
Olveres, Jimena	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
Orlando, Gian Marco	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Ortega, Juan A.	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Ortiz, José A.	Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response
Ortiz, Wilber	Current Situation of Serious Games to Support Ecuadorian Health
Osorio-Marulanda, Pablo A.	Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Otero Carrasco, Belén	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer
Otávio Santos, Luís	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains Towards Automated Placental Screening: Instance Segmentation in Clinical Images Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
Ourique, Fabricio de Oliveira	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
P
Paiola, Pedro Henrique	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline
Pairon, Jean Claude	Automatic detection of pleural plaques presence in asbestos-exposed individuals
Palazzo, Simone	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Palmieri, Paolo	ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy
Panayides, Andreas	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Pani, Saptarshi	Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
Panisson, Alison R.	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
Papa, João Paulo	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
Papadakis, Panagiotis	An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization
Paradinha, Raquel	An embedding-based machine learning solution for medical concept mapping
Park, Jay	Intraoperative Absolute Depth Estimation in MVD Surgery
Parra Vilchis, Marco A.	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
Parrales Bravo, Franklin	Current Situation of Serious Games to Support Ecuadorian Health
Pasini, Giovanni	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Paspuel, Emilio	Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique
Passarello, Lisa	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Patel, Charmi	Enhancing Pulmonary Nodule Localization based on Latent Representations
Patrascu, Monica	A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia
Pattichis, Constantinos	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Pede, Lorenzo	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Pedro C. Azevedo, João	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
Pedro Peréz, Alma Alhelí	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images
Pena, Geórgia	Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission
Pennisi, Manuela	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Pereira, Tania	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
Pereira Rodrigues, Pedro	Benchmarking institutions’ health outcomes with clustering methods
Petitpas, Yannis	Automatic detection of pleural plaques presence in asbestos-exposed individuals
Petti, Manuela	Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis
Phan, Vu Minh Hieu	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Piccininno, Giovanni	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Piccolo, Claudia Lucia	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
Piemonte, Vincenzo	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Pietrantuono, Roberto	Exploring causal modeling to enhance diabetes prediction and management
Pinto, Tiago	Infrared breast image segmentation using deep neural networks on thermographic images
Piñeiro, Eugenia	A Transformer-Based Anomaly Detection System for OCT Image Embeddings
Pohl, Christofer	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Poignard, Clair	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Poli-de-Figueiredo, Carlos E.	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Cronic Kidney Diseases Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation
Postiglione, Marco	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Prats-Uribe, Albert	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Prescott, Stephanie	Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Prieto Santamaría, Lucía	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis Lung-CABO: Lung Cancer Concepts Association Biological Ontology Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
Prieto Velasco, Julián	ICD code assignment from clinical text: impact of document composition
Prinsloo, Lise	Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models
Proietto Salanitri, Federica	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Proios, Dimitrios	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
Pryss, Rüdiger	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Puerta Gonzalez, Paula	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Puig, Domenec	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms
Páez-Granados, Diego	Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
Pérez Martínez, David Andrés	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
Pérez Turiel, Javier	Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?
Q
Qi, Xuyin	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Qin, Huamin	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Qin, Zengchang	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
Quaranta, Patrizia	Exploring causal modeling to enhance diabetes prediction and management
Quatrin Tiellet, Bibiana	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
R
Ragab, Mohamed	Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms
Raicu, Daniela	Enhancing Pulmonary Nodule Localization based on Latent Representations
Raileanu, Laura Elena	Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning
Rajaraman, Sivaramakrishnan	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
Ramaraj, Thiruvarangan	Enhancing Pulmonary Nodule Localization based on Latent Representations
Ramele, Rodrigo	A Transformer-Based Anomaly Detection System for OCT Image Embeddings
Ramirez, Ana	CT Sinogram inpainting for truncation artifact correction and Field-of-view extension
Ramos, Lucía	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
Ramos García, Axel Alejandro	Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance
Reinheimer, Isabel C.	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Cronic Kidney Diseases Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation
Reis, Sandro	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation
Restivo, Rebecca	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin
Reyes García, Carlos Alberto	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
Reyes-Amezcua, Ivan	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
Ribeiro, Rodrigo	Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
Ribeiro Manesco, João Renato	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
Ribes Lemay, Delphine	Explainable AI and trust, design methodologies to explore patients’ perspective Advances on Real Time M/EEG Neural Feature Extraction Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment ANT - Advancing Neurofeedback (in Tinnitus)
Riccio, Giuseppe	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Rich-Ruiz, Manuel	Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN
Ridolfi, Alessandro	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Riegler, Michael A.	Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence
Rigla, Mercedes	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes
Rigla, Mercedes	Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes
Rijo, Rui	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Rincón Pérez, Inmaculada	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Rio-Alvarez, Angel	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Rios Cardenas, Marc	High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas
Rios Insua, David	Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach
Robert, Florian	A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture 3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors
Robles, Victor	ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM
Rocha Tavares, Anderson	Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies
Rodrigues, Adulai	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Rodrigues Sobrinho, Yasmin	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions
Rodrigues-Filho, Roberto	An Implementation Framework Supporting Privacy by Design in Mobile Health Applications
Rodrigues-Jr, Jose F.	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
Rodriguez, Daniel A.	Automatic calibration for CT bed stitching based on Fourier-Mellin
Rodriguez-Gonzalez, Blanca	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Rodriguez-González, Alejandro	DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis Lung-CABO: Lung Cancer Concepts Association Biological Ontology Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine
Rodriguez-Vila, Borja	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Rodríguez-Lozano, Francisco J	Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN
Rofena, Aurora	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
Romano, Antonio	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Romero, Enrique	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Rubio Martin, Sergio	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes AI-Driven Survival Prediction in Pancreatic Cancer
Ruiz, Carolina	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Rujas, Miguel	Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach
Russo, Ciro	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Russo, Diego	A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare
Russo, Giorgio	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Russo, Giulio	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
S
S. Hervella, Álvaro	Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images
Sadeghi Shabestari, Payam	Advances on Real Time M/EEG Neural Feature Extraction Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment ANT - Advancing Neurofeedback (in Tinnitus)
Sagi, Tomer	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Sakkas, Konstantinos	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
Salazar-Ruiz, Carlos	Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
Sampaio, Ana Filipa	Automating Tissue Segmentation and Quantification for Wound Healing Assessment
Samuel, Raina	Automated Regulatory Classification of Mobile Medical Apps
Sanchez Cabo, Fátima	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
Sanchez-Ante, Gildardo	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
Sanchez-Lopez, Angelica Lizeth	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
Sanderson, Daniel	CT Sinogram inpainting for truncation artifact correction and Field-of-view extension Automatic calibration for CT bed stitching based on Fourier-Mellin Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
Sanjuluca, Tomas	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Sannino, Giovanna	Remote Monitoring of Rehabilitation Exercises Through Motion Assessment
Santos Díaz, Alejandro	Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography
Sarkar, Ram	Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
Sartipi, Kamran	Generative-AI Solutions for Connecting Seniors and Healthcare Providers
Schiaffini, Riccardo	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Schiza, Eirini	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Schlaen, Ariel	A Transformer-Based Anomaly Detection System for OCT Image Embeddings
Schlee, Winfried	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Schobel, Johannes	Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Schoisswohl, Stefan	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach
Schurer, Lucas	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Cronic Kidney Diseases
Schwartz, Ida	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Secciani, Nicola	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Seguin, Lorène	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
Seidl, Karsten	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
Sekhari, Aïcha	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Sene Junior, Iwens Gervasio	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Sepulveda-Villegas, Maricruz	Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders
Seror, Olivier	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Serrano Navarro, Álvaro	VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery
Serrano-García, Antonio	Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes
Seunghui, Kim	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation
Shah, Hasnain Ali	Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification
Sheehan, Shane	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
Shen, Linlin	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Sherlley Casimiro Onofre, Alexandre	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains
Sheykhmohammadi, Nazanin	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation
Shpakovskaya, Irina	Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach
Siakopoulou, Styliana	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
Sicilia Urbán, Miguel Ángel	ICD code assignment from clinical text: impact of document composition
Sierra-Rodríguez, José-Luis	Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections
Silva, Adriano Barbosa	Nuclear segmentation in histological images using multiple attention system mixing CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Silva, Francisco	Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts
Silva, Joao Pedro	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data
Silva, Jorge Miguel	A Federated Random Forest Solution for Secure Distributed Machine Learning
Silva, Luis A. L.	GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Cronic Kidney Diseases Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation
Silva, Paulo	Infrared breast image segmentation using deep neural networks on thermographic images
Silva, Yolanda	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Silva De Moraes, Bruno Roberto	Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Silva Dias, Rodrigo	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Silva Lopes, Beatriz	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains Towards Automated Placental Screening: Instance Segmentation in Clinical Images Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
Silvesti, Francesca	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Sinnott, Richard	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
Skagen, Sunniva Vibe	Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept
Smajevic, Arslan	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Soares Teles, Ariel	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts Interactive Methodology for Publishing Tabular Data with Privacy Preservation
Soda, Paolo	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Soda, Paolo	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
Soda, Paolo	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
Soguero-Ruiz, Cristina	Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units
Sonderegger, Andreas	Advances on Real Time M/EEG Neural Feature Extraction Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment ANT - Advancing Neurofeedback (in Tinnitus)
Soota, Akshit	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Soualmia, Lina Fatima	Ontology Similarity Prediction: UMLS Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers
Sousa, Catarina	An embedding-based method for processing medical audio into structured reports
Sousa, Henrique	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
Sousa, Pedro	Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset
Sousa, Rafael	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Sousa Vitoria, Arthur Ricardo	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Souza, Julio	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Soydara, Charounipha	Machine learning prediction of heart health status from mobile PPG measurements
Spadon, Gabriel	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data
Spampinato, Concetto	Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers
Spiliopoulou, Myra	Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach Graph Neural Networks For The Localization Of Breathing Abnormalities
Spinella, Giovanni	From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
Stefano, Alessandro	Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives
Stell, Anthony	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
Stensland, Håkon Kvale	Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study
Subías, David	Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes
Subías, David	Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes
Sugitani, Miwa	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Sulaiman, Waqar Aziz	Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department
Sulim, Kang	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation
Sun, Yu	Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Sung, Jin Young	Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Sungmin, Kim	Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA
Sutter, Olivier	A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies
Sánchez Cornago, Jesús	Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning
Sánchez Ferro, Álvaro	Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos
T
Tamez-Peña, José Gerardo	Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Ensemble of radiomics and ConvNeXt for breast cancer diagnosis
Tang, Haoteng	Adapting a Segmentation Foundation Model for Medical Image Classification Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Tauber, Samuel	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
Taylor, Rod	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
Tchoua, Roselyne	Enhancing Pulmonary Nodule Localization based on Latent Representations
Teixeira, Silmar	Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements
Tejera Nevado, Paloma	Lung-CABO: Lung Cancer Concepts Association Biological Ontology Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer
Teodoro, Douglas	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
Terceño, Mikel	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment
Tirapelli, Camila	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
To, Minh-Son	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Tomaszuk, Dominik	FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration
Topini, Alberto	Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control
Torrado-Carvajal, Angel	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Torres García, Alejandro Antonio	Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration
Torresen, Jim	Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence
Tortora, Matteo	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Tosta, Thaína	CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images
Tosta, Thaína Aparecida Azevedo	Nuclear segmentation in histological images using multiple attention system mixing Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images
Traina, Agma J. M.	AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging
Traina Jr., Caetano	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging
Treewatanawong, Suthee	A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population
Tronchin, Lorenzo	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin
Truman, Samuel	VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare
Tuccinardi, Dario	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Tyska, Jônata	Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder
Tzallas, Alexandros T.	Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis
U
Ubl, Martin	On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition
Uchida, Mariana	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications
Uden, Theodor	MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines
Urena, Raquel	Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data
V
Vallejo, Enrique	Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes
Van de Ville, Dimitri	Advances on Real Time M/EEG Neural Feature Extraction
van der Veer, Sabine	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
van Staden, Chantelle	Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models
Vasakos, Stavros	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
Vazquez, Fabian	Adapting a Segmentation Foundation Model for Medical Image Classification Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation
Vega Alvarez, Jose Antonio	Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data
Veiga Jardim, Hugo Moreno	A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires
Vellido, Alfredo	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Veltri, Pierangelo	Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort
Ventura, Sebastián	Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN
Vera Soto, Jean Paul	A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia
Vera-Sanchez, Juan Antonio	Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy
Verschae, Rodrigo	Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach
Victoria Oliveira, Yasmin	Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods
Vieira, Thales	AI-driven Lung-RADS Classification on CT Reports
Viglialoro, Sebastiano Battista Romano	AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition
Vigueras, Guillermo	Lung-CABO: Lung Cancer Concepts Association Biological Ontology
Villar, José R.	Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
Violán, Concepción	Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years
Visuña, Lara	Detection of active and latent tuberculosis with explainable deep learning ensembles
Vogiatzis, Dimitrios	Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples
von Mammen, Sebastian	VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare
von Wangenheim, Aldo	Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains Towards Automated Placental Screening: Instance Segmentation in Clinical Images Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology
Vottas, Marios	Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph
W
W. Omlin, Christian	Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes
W.Tareke, Tewele	Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
Wang, Jiayi	Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals
Wang, Tao	Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway
Wang, Yiyang	Enhancing Pulmonary Nodule Localization based on Latent Representations
Weir, Christopher	Supervised machine learning and active learning for surrogate outcome detection in clinical protocols
Wemmert, Cédric	Automated Coding of French Emergency Calls Using BERT
Wennberg, Patrik	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins
Wiede, Christian	Towards Detection of Perfusion Disorders Using Remote Photoplethysmography
Wijewickrema, Sudanthi	Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
Wolf, Denis	Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications
Wong, David	Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care
X
Xie, Qianyu	Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED
Xu, Bruce	Intraoperative Absolute Depth Estimation in MVD Surgery
Xu, Hongming	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Xue, Zhiyun	The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification
Y
Yamazaki, Tomoyoshi	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Yazdani, Anthony	From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification
Yokota, Haruo	Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data
Yuan, Yufei	Generative-AI Solutions for Connecting Seniors and Healthcare Providers
Z
Zaidi, Syed	Graph Neural Networks For The Localization Of Breathing Abnormalities
Zampunieris, Denis	Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation
Zancan, Breno	Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs
Zarranz-Ventura, Javier	Improving Diabetic Retinopathy classification using class imbalance correction techniques
Zavale, Olímpio	Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation
Zhan, Marcus	Adapting a Segmentation Foundation Model for Medical Image Classification
Zhan, Wen	Explainable AI and trust, design methodologies to explore patients’ perspective
Zhang, Lei	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Zhang, Qibin	Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification
Zhang, Zeyu	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Zhang, Zhiwei	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Zhao, Isaac	Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders
Zhao, Yang	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Zheng, Huazhan	ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
Zheng, Zheng	RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation
Zobel, Bruno Beomonte	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
Zoiros, Apollon	Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults
Zunzunegui Sanz, Iratxe	Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation
Á
Ávila-Jiménez, José Luis	Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN
Ö
Öhberg, Fredrik	Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins

Disclaimer | Powered by EasyChair Smart Program