Days: Wednesday, June 3rd Thursday, June 4th Friday, June 5th
View this program: with abstractssession overviewtalk overview
| 09:00 | Architecture, Evaluation Metrics, and Technical Feasibility of LLMs in Mental State Assessment: A Case Study in PTSD (abstract) |
| 09:15 | Verbalized Uncertainty in Medical AI: Differential Diagnosis in Commercial LLMs (abstract)  PRESENTER: Steff Groefsema |
| 09:30 | AyurAssist: Bridging Ayurvedic and Biomedical Clinical Knowledge Through Terminology-Grounded LLM Reasoning (abstract) |
| 09:45 | Multimodal Dual-Encoder Retrieval for Automated ICD Coding (abstract) |
| 10:00 | A Conversational Agent for Natural Language Access to Public Health Data (abstract) PRESENTER: Maicon Moraes |
| 10:15 | Enhancing Medical Question Answering in Open LLMs via Inference-Time Ensembles (abstract) |
| 09:00 | MicroClinic: An Ultra-Low-Parameter Neural Network for Medical Image Analysis (abstract) |
| 09:15 | Which Factors Influence Success of Unconstrained Interpolation for Augmentation in Multiple Instance Learning? (abstract) |
| 09:30 | Multimodal Deep Learning for Tumor Site Classification: Integrating Histopathology and Gene Mutation Status (abstract) PRESENTER: Andrea Espis |
| 09:45 | Automated Ki-67 Proliferation Index Estimation for Deep Learning Applications in Histopathology (abstract) |
| 10:00 | Deep Learning Architectures for Automated Classification of Fetal Liver Echotexture in Gestational Diabetes (abstract) |
| 09:00 | Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis (abstract) |
| 09:15 | Safety-Oriented Interpretable ECG Denoising with Regression Tsetlin Machines (abstract) |
| 09:30 | Temporal Latent Priors Improve Sequential Generative Modeling of Full-Length 12-Lead ECGs (abstract) |
| 09:45 | Beyond Single-Beat Classification: Quantifying Arrhythmia in Long-Term ECG via Prevalence Estimation (abstract) PRESENTER: Rafael da Costa Silva |
| 09:00 | Emotion-Aware Assistive System with Wearable Haptic Feedback for Visual Impairment (abstract) |
| 09:15 | An Energy-Efficient Wearable System for AF Detection: LLM-NAS Driven Lightweight Neural Network and Embedded Deployment (abstract) PRESENTER: Mengyao Xu |
| 09:30 | Cervical Kinematic Recorder: a technological innovation for cephalogyric movement assessment (abstract) |
| 09:45 | Deep Learning-enabled Monocular, Markerless 3D Pose Estimation of Laparoscopic Tooltips in Box-Trainer Simulators (abstract) |
| 10:00 | Knee Exercise Directional Control and Range of Motion Measurement Device for Physical Therapy Monitoring of Post-Total Knee Arthroplasty Patients (abstract) |
| 10:15 | State-of-Flight: Wearable EEG and Motion Context During Flying or Floating (abstract) |
Vajira Thambawita (Simula Research Laboratory, Norway)
| 09:00 | SEARCH Federated Platform: Federated Data Discovery and Learning for Synthetic Data Generation in Healthcare (abstract) |
| 09:15 | Impact of hyperparameter and model selection optimisation in Synthetic Tabular Data Generation models in the healthcare domain (abstract) PRESENTER: Mikel Catalina |
| 09:30 | Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation (abstract) PRESENTER: Adam Jakobsen |
| 09:40 | Benchmarking Tabular Generative Models for Clinical Data Synthesis (abstract) PRESENTER: Matteo Bonazzi |
| 09:55 | Evaluating Schema-Awareness in a Transformer Model for Tabular Synthetic Data Generation of Electronic Health Records (abstract) PRESENTER: Amanda Bertgren |
| 10:10 | Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps (abstract) |
| 10:20 | Towards A Unified and Explainable Record-Level Metric for Synthetic Data Evaluation (abstract) |
Angel Mario Garcia-Pedrero (Universidad Politécnica de Madrid, Spain)
| 09:00 | Cross-Modal Coordination in Reading: An Interpretable Audio–Video Fusion Pipeline for Cognitive Screening (abstract) |
| 09:15 | LOOM Net: An Importance-Aware CNN--Transformer for Multimodal Physiological Signals on Wearables (abstract) PRESENTER: Sarun Varghese |
| 09:30 | Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting (abstract) PRESENTER: Irene Iele |
| 09:45 | Digital Twin-based 3D Reconstruction for Real-Time Body Composition Estimation Using 2D Images and Deep Learning-based Segmentation (abstract) |
| 10:00 | Explainable Multimodal Learning for Fetal Electro-Mechanical Signal Modeling (abstract) |
Parquet Lobby Area (in the Main Lobby). Please enjoy your coffee and visit the Poster Area in the Panorama Room via the terrace.
Aspect and Effect Polarity Classification in German Clinical Text with a Two-Stage Transformer Pipeline (abstract) |
Optimized emotion recognition in naturalistic gaming enviroment using facial action units (abstract) |
Explainable Machine Learning for Automated Acne Severity Grading With Small-Scale Dataset (abstract) |
Improving Breast Magnetic Resonance Imaging Workflow Through Deep Learning–Based Exam Prioritization (abstract) |
Comparative Evaluation of CNN Architectures for Asbestos-Related Disease Screening in Public Chest X-ray Datasets (abstract) |
Automated Video Classification during a Deltopectoral Approach for Primary Shoulder Arthroplasty (abstract) |
Improving Quality of Variational Autoencoder Outputs for Ki67 Histological Image Generation (abstract) |
Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction (abstract) |
On the explainability of max-plus neural networks (abstract) |
Efficient working memory characterization from EEG using phase based deep learning analysis (abstract) |
Burnout Syndrome Identification from Electrodermal Signals Using Machine Learning Algorithms (abstract) |
Automated Auscultatory for Calibration-free Blood Pressure Estimation: Comparative Analysis of Frequency and Morphology-Based Methods (abstract) PRESENTER: Kiran V Raj |
Reducing Peripheral False Positives in Prostate Micro-Ultrasound Segmentation Using Slice-Level Gating (abstract) |
Modelling the effects of intangible cultural heritage experiences on mental well-being using physiological sensor data and speech signals (abstract) |
Integrating Multilayer and Bayesian Networks for Modelling and Analysis of Complex Biomedical Data (abstract) |
Improving machine learning models for clinical datasets through Active Learning and Data Augmentation (abstract) |
The ADICVIDEO Project: Multimodal Assessment of Emotional, Sleep, and Fatigue Markers in Videogame Addiction (abstract) |
State-of-Sleep in Hyperbaric Oxygen Therapy: Wearable EEG Before, During, and After Sleep in HBOT (abstract) |
| 11:00 | Interpretable Machine Learning for Early Sepsis Prediction (abstract) |
| 11:15 | Explainable Complication Status Prediction after Tracheostomy Procedure (abstract) |
| 11:30 | A Bi-modal Knowledge Distillation Framework for Explainable Neonatal Jaundice Diagnosis (abstract) PRESENTER: Fati Oiza Salami |
| 11:45 | Explainable Finger Kinematics Decoding with Temporal Graph Neural Networks (abstract) |
| 12:00 | Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data (abstract) |
| 12:15 | Automatic Generation of Longitudinal Cardiology Timelines from Clinical Narratives Using LLM-Based Extraction and Interactive Visualization (abstract) PRESENTER: Yohan Gumiel |
Costas Pitris (University of Cyprus, Cyprus)
| 11:00 | Self-Supervised Foundation Models for Mammography: A Survey of Architectures, Benchmarks, and Clinical Translation Challenges (abstract) PRESENTER: Darina Narova |
| 11:15 | Mammography BI RADS Reformulation: From Raw Categories to Low/High Risk and Soft-Label Modelling (abstract) PRESENTER: Linda Blahová |
| 11:30 | Breast Cancer Subtyping using Digital Mammograms and Feature-based Machine Learning: Temporal Subtraction vs. Single-Mammogram Analysis (abstract) |
| 11:45 | Classification of Breast Cancer Patterns in Immunohistochemistry (IHC) Images based on Multi-Class Targets (abstract) |
| 12:00 | Segmentation-Driven Background Skin Extraction for Robust Skin Tone Estimation in Dermatological Images (abstract) PRESENTER: Thiago Meneses Lopes |
| 12:15 | MammoTwin: An Open Source Digital Twin Framework for Protocol Optimization via MRI-to-Mammography Synthesis (abstract) PRESENTER: Daniel Lozano Gutiérrez |
| 11:00 | Assessing the effects of xDAWN filtering, reduction of EEG channels and addition of EOG signals on the classification of movement versus rest (abstract) PRESENTER: Theodora Gazea |
| 11:15 | Motor–Cognitive Performance After Cold Exposure Therapy: Wearable EEG Mini-Golf Study (abstract) |
| 11:30 | Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection (abstract) |
| 11:45 | Characterization of a Computerized Method for Non-invasive Measurement of Arterial Hyperelastic Properties: Potential for Decoding Vascular Ageing (abstract) |
| 12:00 | Development of an automated pipeline for the digitisation of paper pain drawings (abstract) |
| 11:00 | Fatigue and Burnout Management in Nursing Staff Using Wearable Data (abstract) |
| 11:15 | A Modular, SOLID based Hybrid Software Architecture for Medical Devices on Heterogeneous Edge Platforms (abstract) |
| 11:30 | Mixed Reality in Electronic Health Records: User Requirements and Evaluation (abstract) PRESENTER: Silouanos Chaldoupis |
| 11:45 | Continuous Falls Prediction Among Care Home Residents (abstract) |
| 12:00 | A Consumer EEG–Driven Word Keyboard for Assistive Communication (abstract) |
| 12:10 | Emotion-Aware Multimodal Virtual Rehabilitation: Integrating EEG and Motor Performance for Adaptive Therapy Regulation (abstract) |
| 11:00 | Diffusion-Based Counterfactual ECG Generation\\for Atrial Fibrillation Data Augmentation (abstract) PRESENTER: Tharaka Dilshan |
| 11:15 | Anatomy-Preserving Latent Diffusion for Generation of Brain Segmentation Masks with Ischemic Infarct (abstract) |
| 11:30 | A Generative Pipeline for 3D Breast MRI: Diffusion Models Meet Super-Resolution GANs (abstract) |
| 11:45 | Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study (abstract) |
| 12:00 | Does synthetic image generation improve explainability? A Concept-Based Case Study in Histopathology (abstract) |
| 12:15 | EndoFSA: Endoscopic Few-Shot Image Generation via Rank-Constrained Parameter Adaptation (abstract) |
Angel Mario Garcia-Pedrero (Universidad Politécnica de Madrid, Spain)
| 11:00 | Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D (abstract) |
| 11:15 | A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis (abstract) |
| 11:30 | End-to-End Multimodal Transformers for Multi-Cohort Alzheimer's Classification (abstract) |
| 11:45 | Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI (abstract) |
| 12:00 | Predicting Pathologic Complete Response in Breast Cancer: A Multimodal Benchmark Using Baseline DCE-MRI and Clinical Data (abstract) |
| 12:15 | Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images (abstract) |
Buffet Menu in Octagon Restaurant
Welcome Address
Prof. Constantinos S. Pattichis, University of Cyprus and CYENS Centre of Excellence, Cyprus
General Co-Chair
A snapshot of the Scientific and Social Program
Assoc. Prof. Efthyvoulos Kyriacou, Cyprus University of Technology, Cyprus
Program Co-Chair
Best Paper Competition – Finalists and Evaluation Process
Assoc. Prof. Rosa Sicilia, UniCamillus – Saint Camillus International University of Health Sciences, Rome, Italy
CBMS SC Chair
Keynote title
Artificial Intelligence–Enabled Biomarkers for Personalized and Dynamic Pain Assessment
Metin Akay
John S Dunn Endowed Chair Professor
University of Houston, Department of Biomedical Engineering, Houston, TX, USA
Short Biography
Dr. Akay is the John S Dunn Endowed Professor of the Biomedical Engineering Department at the University of Houston. He earned his BS and MS degrees in Electrical Engineering (EE) from Bogazici University, Istanbul, Turkiye. Then, he pursued and obtained his PhD in Biomedical Engineering (BME) from Rutgers University, NJ, the United States,
He is proud of the BME department he established at the University of Houston, which is a unique translational research environment, focused on integrating innovative research and academic programs to meet the demands and requirements of the ever-changing global economy that continues to drive health-care technology, management, and delivery and served as the founding chair for nearly 15 years.
He received honorary doctorates from Aalborg Silesian and Pécs Universities and professorship from the Technical University of Crete. He has authored more than 20 books and 180 journal papers, along with 200 conference papers and abstracts and delivered over 200 keynote and plenary talks at respected international conferences, including IEEE ICASSP twice.
He is a recipient of the IEEE EMBS Career, Early Career and Service Awards, an IEEE Third Millennium Medal, and the prestigious Zworykin Award from the International Federation for Medical and Biological Engineering (IFMBE). He is a life fellow of IEEE, fellow of the Institute of Physics (IOP), the International Academy of Medical and Biological Engineering (IAMBE), the American Institute for Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS).
His research focuses on the development of novel therapeutics for the treatment of Cancer, neurotechnology for addiction and pain, brain cancer chips, and coronary occlusion.
Parquet Lobby Area (in the Main Lobby). Please enjoy your coffee and visit the Poster Area in the Panorama Room via the terrace.
| 16:00 | Explainable AI in Medicine: Trends and Educational Implications (abstract) |
| 16:10 | Faithfulness and Uncertainty Calibration of Large Language Models in Portuguese Medical Question Answering (abstract) |
| 16:20 | XAIqi and XAIci: Quantifying Explainability Quality and Task Complexity Across Predictive Models in Stroke Outcome Prediction (abstract) |
| 16:30 | Counterfactual Reasoning to Executable Clinical Guidelines: A DMN-Based Framework for Diabetes Risk Assessment ا (abstract) |
| 16:40 | Prompt-Based Adaptation of Vision Language Models for Clinical Pain Note Generation from Neonate Cry Sound (abstract) |
| 16:50 | Collaborative Intelligence in Mental Health: A Multi-Agent Framework for Personalized Treatment and Health Promotion using Next-Gen LLMs (abstract) PRESENTER: Regina Silva |
| 17:00 | RHEUMA-PRIOR-SCRIBE: Multi-Agent RAG for Rheumatology Consultation Prioritization (abstract) |
| 17:10 | Linguistic Speech Disfluencies: A Gender-Neutral Biomarker for Speech-Based Anxiety Detection (abstract) |
| 17:20 | From Behavioral Tracking to Aging Biomarkers : An Explainable Machine Learning Framework on the African Turquoise Killifish (abstract) |
| 16:00 | Attention U-Net with Algebraic Refinement for Sparse-View CT Reconstruction (abstract) |
| 16:15 | Level-set-guided CNN-based Segmentation of CTPA Scans for Pulmonary Emboli Extraction (abstract) |
| 16:30 | Weakly supervised pleural plaque segmentation using global patient-level diagnostic cues (abstract) PRESENTER: Yannis Petitpas |
| 16:45 | Automated Trachea Segmentation from CT Imaging Using AI Models (abstract) |
| 17:00 | SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation (abstract) |
| 17:15 | GAN-based Adaptive Radial Subsampling and Reconstruction for Brain MRI (abstract) |
| 16:00 | Comparative Performance Evaluation of Contemporary Video Coding Standards, including DCVC-RT and ECM, on 2D and 360° Medical Video Datasets (abstract) |
| 16:15 | Explainable temporal analysis for high-risk carotid plaques using ArgEML – a pilot study (abstract) |
| 16:30 | Controlled Factorial Analysis of Architecture–Loss Interactions in Cardiac MRI Segmentation (abstract) |
| 16:45 | Between Aspiration and Reality – Datasets for Network Security in Healthcare (abstract) PRESENTER: Jordi Doménech |
| 17:00 | AMAL-For-Qatar: A Vision for AI-Mediated Prenatal Care through Comprehensive Fetal Ultrasound Video Analysis (abstract) |
| 16:00 | XRaudinary: Spatially Anchored Live Captions in XR via Low-Cost Microphone Arrays and Vision Fusion (abstract) |
| 16:10 | Geometry-Aware Event-Based TinyML for Interpretable On-Device Rehabilitation Metrics (abstract) |
| 16:20 | Motion Compensation for Ultrasound Scanning in Robotically Assisted Prostate Biopsy Procedures (abstract) |
| 16:30 | Contactless Blood Pressure Estimation via Smart Mirror using Pulse Transit Time (abstract) |
| 16:40 | A Highly Customizable Platform Enabling Sophisticated Medical Eye-Tracking Studies (abstract) |
| 16:50 | State-of-Study in Hyperbaric Oxygen Therapy: Wearable EEG and fNIRS During a Single HBOT Session (abstract) |
Evdokimos Konstantinidis (Aristotle University of Thessaloniki, Greece)
Despoina Petsani (Medical Physics, Digital Innovation Lab, School of Medicine, Aristotle University of Thessaloniki, Greece)
| 16:00 | Assessing the Quality of Patient-Generated Health Data: the DAMA UK Framework Applied to Real-World Cancer Patient Data (abstract) |
| 16:15 | Benchmark Pipeline for Missing Data Imputation in Oncological Electronic Health Records (abstract) PRESENTER: Alexandra Panghe |
| 16:25 | Enabling Reproducible AI Research Through the RAISE Platform: A Cross-Dataset Study on Emergency Department Triage (abstract) |
| 16:40 | Wearable data harmonization and quality in Transitional Care monitoring (abstract) |
| 16:55 | Cloud-Based EEG Analysis via the RAISE Platform (abstract) |
| 17:10 | Cross-Domain Spatial Analysis of Environmental Exposure, Mobility Patterns and Quality-of-Life Indicators in Urban Environments within an Interoperable Research Data Infrastructure (abstract) |
Angel Mario Garcia-Pedrero (Universidad Politécnica de Madrid, Spain)
| 16:00 | Longitudinal NSCLC Treatment Progression via Multimodal Generative Models (abstract) PRESENTER: Massimiliano Mantegna |
| 16:15 | Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC (abstract) |
| 16:30 | Multimodal AI for Medical Image Classification: A Comprehensive Analysis of Image and Text Contributions (abstract) |
| 16:45 | Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA (abstract) |
| 17:00 | An Evaluation of MedGemma for Anterior Segment Eye Images Classification and Analysis (abstract) |
| 17:15 | A Modular Platform for Multimodal Clinical Research: Architecture and Case Study on Glaucoma Classification (abstract) |
View this program: with abstractssession overviewtalk overview
| 09:00 | Trajectory-Based Anticipation of Hospital Crises via Decision-Oriented Neuro-Symbolic AI (abstract) |
| 09:15 | BugIQ A Neurosymbolic Graph Neural Network for Inductive Antimicrobial Resistance (abstract) |
| 09:30 | Support Vector Quantum Kernels and Classical Machine-Learning Models in Predicting Drug-Induced Liver Injury (abstract) |
| 09:45 | Automated Quantification of Hand Resting Tremor in Parkinson’s Disease from Routine Clinical Video (abstract) PRESENTER: Katherine Coutinho-García |
| 10:00 | Modality-Embedded Set Transformer Pooling for Multimodal Prostate Cancer Survival Prediction (abstract) PRESENTER: Ben Isselmann |
| 09:00 | OHANA: Optimizing Heterogeneous Multi-Artifact Correction in Neuroimaging Analysis (abstract) PRESENTER: Alícia Oliveira |
| 09:15 | Automatic detection of EEG electrodes on T1-weighted MR Images (abstract) PRESENTER: Mathys Georgeais |
| 09:30 | A Multiscale Framework for Functional Connectivity in Schizophrenia: Familial Validation and Phenotypic Stratification (abstract) |
| 09:45 | Multi-Scale Fractal Analysis and Bidirectional Temporal Graph Networks for Alzheimer’s and Frontotemporal Dementia Detection Using Electroencephalography (abstract) |
| 10:00 | Multi-point Nonlinear Crosstalk Correction for Fluorescence Microscopy (abstract) |
| 10:15 | Longitudinal MRI Analysis Platform for Monitoring Disease Progression in Multiple Sclerosis (abstract) |
| 09:00 | Process-Aware Conformal Prediction for Ambulance Response Time Estimation (abstract) |
| 09:15 | ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability (abstract) |
| 09:30 | ChemoTwin: A Digital Twin Framework for Real-Time Chemotherapy Toxicity Prediction (abstract) |
| 09:45 | A telemonitoring framework for arteriovenous graft and vital signs (abstract) PRESENTER: José Luis Oliveira |
| 10:00 | Your Health in Your Hand: Designing a Minimum Viable Product for Citizen Empowerment (abstract) |
| 10:15 | Cognitive Function as a Predictor of Fall Risk in Older Adults Participating in Cognitive and Physical Training Programs (abstract) |
| 09:00 | Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking (abstract) |
| 09:15 | Network-based Characterization of Synergistic Drug Combinations in Alzheimer’s Disease (abstract) |
| 09:30 | Out-of-Distribution Detection in Drug-Drug Interactions via Supervised Contrastive Learning (abstract) |
| 09:45 | Overcoming Small-Degree Cold-Start in Heterogeneous Biological Networks through Latent Bridges (abstract) PRESENTER: Ivana Milutinovic |
| 10:00 | Size-Stratified Evaluation of Biomedical Language Models for ADE Sentence Classification in Regulated Pharmacovigilance Settings (abstract) PRESENTER: Ryan Hara |
| 10:15 | Developing and Evaluating Candidate Surrogate Outcomes for Alzheimer’s Disease Clinical Trials: A Simulation Study (abstract) |
| 09:00 | From Retina to Cognition: Transfer Learning for MMSE-Derived Cognitive Status Classification in Diabetic Retinopathy (abstract) |
| 09:15 | Modular Human-in-the-Loop Architecture for AI-Supported Heart Failure Monitoring (abstract) |
| 09:30 | Equity-Aware Risk Prioritization for Mandatory Referral in Nursing-Home Telemedicine (abstract) |
| 09:45 | Early Bed-Exit Risk Detection in a Real-World Residential Setting Using Pressure-Sensing Sheets: A Feasibility Study (abstract) |
| 09:55 | Low-Effort and Error-Tolerant Eye-Gaze Communication Using Huffman and Max-Heap Encoding for ALS Patients (abstract) PRESENTER: Alyssa Lee |
| 10:10 | Toward Inclusive Clinical Research: Automated Structuring of Clinical Trial Protocols Using LLMs (abstract) |
Parquet Lobby Area (in the Main Lobby). Please enjoy your coffee and visit the Poster Area in the Panorama Room via the terrace.
Online Imputation Analysis for Anomaly Heart Rate Detection in Wearable Data Streams (abstract) PRESENTER: Afonso Matheus Sousa Lima |
Advancing Remote Medical Palpation through Cognition and Emotion (abstract) |
Advancements and Technology Trends in Robotic Surgery (abstract) |
Self-Interpretable Sequential Modelling of Drawing Strategy for Neuropsychological Assessment (abstract) |
Design and Initial Evaluation of HelpInMind: An Embodied Conversational Agent for Promoting Adherence in Anxiety Treatment (abstract) |
Modernizing PACS Web Architecture: The Dicoogle-Next Platform (abstract) |
Label Efficiency for Signal Quality Classification of Respiratory Inductance Plethysmography Using Wearable Sensors (abstract) |
A sensorized ink pen to predict the risk of handwriting difficulties in primary school (abstract) |
Data-Driven Clustering of COVID-19 Patient Records for Mortality Risk Prediction (abstract) |
Spatial Transmission Patterns in COVID-19 Infection Networks in Cyprus (abstract) |
Composite Biomarkers for Portable Cardiovascular Risk Prediction Using Minimal Clinical Inputs (abstract) PRESENTER: Alyssa Lee |
Human-Centered Explainability for Medical AI with Metaheuristic Optimization and LLM Reporting (abstract) |
Virtual Reality to Teach Empathy to Medical Students (abstract) |
Decoding Nocturnal Movement: A Human-AI Collaborative Workshop on RBD Movement Analysis (abstract) |
Memory-Efficient Execution in an Auto-Segmentation Workflow for Radiotherapy Planning (abstract) |
HCAF-Net: Hierarchical Cross-Attention Fusion for Retinal Disease Classification (abstract) |
Scaling Digital-Analog Quantum Kernels for Medical Image Classification (abstract) |
| 11:00 | Explainable Machine Learning for Fall Risk and Post-Fall Mortality Prediction in Nursing Home Residents Using Autoencoder-Based Synthetic Data Augmentation (abstract) PRESENTER: Sergio Rubio-Martín |
| 11:15 | Q2VA: A Bayesian Adaptive Method for Visual Acuity Assessment with Tumbling E Stimuli (abstract) |
| 11:30 | A Case-Based and Clustering Framework for Diverse Counterfactual Explanations (abstract) |
| 11:45 | Machine learning to analyze the factors catalyzing coercive practices in Psychiatry (abstract) |
| 12:00 | ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation (abstract) PRESENTER: Vajira Thambawita |
| 12:15 | Time-Domain GAN Compression of Intracranial EEG with Latent Quantization (abstract) |
| 11:00 | ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding (abstract) PRESENTER: Seung Ha Hwang |
| 11:10 | Characterization of Hippocampal Local Field Potentials Using Lyapunov Exponent Analysis and Machine Learning (abstract) |
| 11:20 | Evaluation of fMRIPrep for Preprocessing 7 Tesla Functional MRI Data (abstract) PRESENTER: Hayssam Abd Alaziz Obeid |
| 11:30 | Chirplet Analysis of Brain State During Snow and Cold Exposure (abstract) |
| 11:40 | Speech Biomarkers for mTBI Screening: Effects of Sports-Field Noise and Speech Enhancement (abstract) |
| 11:50 | Conformal Left Ventricular Mapping for Visualization of Cardiac Conduction (abstract) |
| 12:00 | Interpretable Convolutional Neural Networks and Transfer Learning for the Chronological Age Assessment of Drosophila Intestinal Tissue using Confocal Microscopy Images (abstract) PRESENTER: Andria Nicolaou |
| 12:10 | Dispersion Belief Permutation Entropy: A Novel Uncertainty-Aware Symbolic Approach for Complexity Analysis of Motor Unit Interspike Intervals and EMG Signals (abstract) |
| 11:00 | Game-Based Upper Limb Rehabilitation: A Motivational Approach To Stroke Recovery (abstract) |
| 11:15 | Gaze-Derived Physiological Metrics Across Video Game Genres: A Controlled Experimental Study (abstract) |
| 11:30 | Building eHealth Professional Profiles for Interoperable Digital Health Services in the EHDS Era: Evidence from Multi-Sector Interoperability Projects (abstract) PRESENTER: Panagiotis Bamidis |
| 11:40 | Scaling PACS Beyond Local Storage: A Unified Architecture for DICOM Metadata and Pixel Persistence in Distributed Environments (abstract) PRESENTER: Shelton Agostinho |
| 11:50 | A AI-driven document builder for standardized clinical studies (abstract) PRESENTER: José Luis Oliveira |
| 12:00 | An Ensemble-Based Approach to Validating AI-Generated Clinical Discharge Summaries (abstract) PRESENTER: Daniel Reichenpfader |
| 12:10 | Architecture of the new domestic Ankle Brachial Index system using Pulse Wave Velocity (abstract) |
| 12:20 | Detecting Parkinson’s Disease with Postural Sway via Single IMU and Machine Learning (abstract) |
| 11:00 | Cross-Cancer Computational Framework for Immune-Dysregulated Ecosystem Discovery and Therapeutic Prioritization (abstract) |
| 11:15 | Feature Fusion and Disfluency for Automated Anxiety Detection in Clinical Interviews (abstract) |
| 11:30 | Deep Learning for Automated Quality Assessment of NK Cell Differentiation in iPSC Cultures (abstract) |
| 11:40 | Optimized metagenomic classification through hybrid computational approaches (abstract) |
| 11:00 | From Optical Flow to Motion Magnitude: An Efficient Framework for Video-Based Hand Tremor Assessment (abstract) PRESENTER: Weiping Liu |
| 11:15 | Title: Asymmetric Cross-Cohort Generalization in Alzheimer’s Disease Classification: A Bidirectional External Validation Study (abstract) |
| 11:30 | RGB-D Human Pose Estimation to Assess Instability in Parkinson’s Disease: a Multi-center Evaluation. (abstract) |
Buffet Menu in Octagon Restaurant
Keynote title
From data scarcity to Trustworthy AI: The transformative role of synthetic data in healthcare
Dimitrios I. Fotiadis, FIEEE, FEAMBES, FIAMBE, FAIAA
Prof. of Biomedical Engineering, University of Ioannina / BRI - FORTH
Head of the Unit of Medical Technology and Intelligent Information Systems
Editor in Chief IEEE Open Journal of Engineering in Medicine and Biology
Director MSc In Digital Health
Ioannina, GREECE
Short abstract:
The development of trustworthy AI systems in healthcare is fundamentally constrained by limited data availability, privacy regulations, and population bias. Synthetic data generation has emerged as a powerful solution to these challenges, enabling the creation of high-fidelity, privacy-preserving datasets that retain the statistical and clinical properties of real patient data. This presentation explores state-of-the-art synthetic data generation techniques and their role in enhancing AI model performance, fairness, and generalizability in healthcare applications. Through real-world case studies, we demonstrate how synthetic data can mitigate class imbalance, protect sensitive information, and support equitable AI development without compromising data utility. The talk highlights synthetic data as a key enabler for trustworthy, scalable, and regulation-compliant AI-based systems.
Short Biography
Prof. Dimitrios I. Fotiadis (Male), received the Diploma degree in chemical engineering from the National Technical University of Athens, Athens, Greece, and the Ph.D. degree in chemical engineering and materials science from the University of Minnesota, Minneapolis. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, an Affiliated Member of Foundation for Research and Technology Hellas, Biomedical Research Institute and Director MSc in Digital Health. He is member of the board of Michailideion Cardiac Center. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Boston. He has coordinated and participated in more than 250 R&D funded projects (in FP6, FP7, H2020, Horizon Europe and national Projects), being the coordinator (e.g. INSILC, TAXINOMISIS, HOLOBALANCE, CARDIOCARE, DECODE, etc.) and/or Technical coordinator (e.g. SMARTOOL, KARDIATOOL, TO_AITION, etc.). He is the author or coauthor of more than 500 papers in scientific journals, more than 600 papers in peer-reviewed conference proceedings, and more than 50 chapters in books. He is also the author/editor of 30 books. His work has received more than 36,400 citations (h-index=87). He served as Editor in Chief of IEEE Journal of Biomedical and Health Informatics from 2017-2024 and he is IEEE EMBS Fellow, EAMBES Fellow, Fellow of IAMBE, Fellow of AIAA, member of the IEEE Technical Committee of Biomedical Health Informatics, Editor in Chief of IEEE Open Journal of Engineering in Medicine and Biology, Member of the Editorial Board in IEEE Reviews in Biomedical Engineering, member of the European Academy of Sciences and Arts and member of the National Academy of Artificial Intelligence (NAAI). His research interests include multiscale modelling of human tissues and organs, intelligent wearable/implantable devices for automated diagnosis, processing of big medical data, machine learning, sensor informatics, image informatics, and bioinformatics. He is the recipient of many scientific awards including the one by the Academy of Athens. He is the co-founder of PD Neurotechnology Ltd, UK, Intelligence4Rehab and SYNTHAINA AI.
Parquet Lobby Area (in the Main Lobby). Please enjoy your coffee and visit the Poster Area in the Panorama Room via the terrace.
| 16:00 | Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence (abstract) |
| 16:15 | Enhancing Brazilian Portuguese Small Visual Language Models Through Progressive Learning for Torax X-Ray Analysis (abstract) |
| 16:30 | Active-CLIP: Zero-Shot Active Learning with Visual Pseudo-Label Propagation for Efficient Med-VQA (abstract) PRESENTER: Gabriel Dias |
| 16:45 | Cross-Modality Distillation for Multiple Sclerosis Lesion Segmentation in MRI (abstract) PRESENTER: Veronica Pignedoli |
| 17:00 | Align-cDAE: Alzheimer’s Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder (abstract) |
| 17:15 | Early Validation of a Force-Aware LfD Framework for Robotic Surgery (abstract) |
| 16:00 | GD-HMoE: Foundation Model-Guided Mixture of Experts for Multi-Task Medical Image Analysis (abstract) |
| 16:15 | Knowledge Distillation with Hybrid Soft--Label Losses for Imbalanced Lung Nodule Classification (abstract) |
| 16:30 | Predictive Uncertainty for Medical Image Synthesis with Continuous-Time Generative Models (abstract) PRESENTER: Francesco Di Feola |
| 16:45 | Hybrid Semantic Augmentation for Cataract Surgery Image Synthesis with GANs and Diffusion-based Models (abstract) |
| 17:00 | Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment (abstract) |
| 17:15 | An Object-Centric Preprocessing Pipeline for Retinal Prosthetic Vision (abstract) |
| 16:00 | Interpretable HRV-Based Detection of REM Sleep Behaviour Disorder via Explainable Boosting Machines (abstract) PRESENTER: Ilaria Ciampa |
| 16:15 | Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining (abstract) |
| 16:30 | EDA-Based Arousal Analysis During Gamified Leg Agility in Parkinson's Disease: A Cross-Subject XAI Approach (abstract) PRESENTER: Giulia Masi |
| 16:45 | Explainable Voxel-Level Spatio-Temporal Graph Learning for Resting-State fMRI-Based Diagnostic Classification in Parkinson’s Disease (abstract) PRESENTER: Maitane Martinez-Eguiluz |
| 16:00 | AngleREG: Data-Free Angle-Aware Quantization for Efficient 3D Medical Image Registration (abstract) |
| 16:15 | Explainable Multimodal Deep Learning for Improved Diabetic Retinopathy Referral Decisions (abstract) |
| 16:30 | Beyond Heatmaps: Self-Evolving Graph Neural Fields for Robust Cephalometric Landmark Detection (abstract) |
| 16:45 | Topology-Aware Diffusion for Cephalometric Landmark Detection (abstract) PRESENTER: Vijaya Sai Chiguraupati |
| 16:55 | Automated Diaphragmatic Thickness Segmentation in Simulated Neonates Ultrasound Videos (abstract) |
| 16:00 | Natural language processing ETL pipeline for OMOP data generation from free-text clinical case reports (abstract) |
| 16:15 | An MCP server for OHDSI WebAPI cohort definition (abstract) PRESENTER: José Luis Oliveira |
| 16:30 | GREG MetaView: Comparing Health Databases for Large-scale Observational Research (abstract) |
| 16:45 | A Simulated Federated Analysis of MS-Induced Brain Lesions (abstract) |
We will depart at 18:00 hours from the venue hotel by bus for a tour to the historic old town and Limassol Castle. Our dinner will be at a traditional restaurant in a nearby village.
View this program: with abstractssession overviewtalk overview
| 09:00 | FedTwin‑XAI: A Patient‑Owned Federated Digital Twin Framework with Explainable Mobile Medical Imaging and Differentially Private Synthetic Augmentation (abstract) |
| 09:10 | Explaining Visual-Language Foundation Models for Histopathology: a Patch-Level Approach (abstract) |
| 09:20 | Specializing Large Language Models for Hierarchy-Aware ICD-10 Mapping of Portuguese Cardiology Diagnoses (abstract) PRESENTER: Gustavo Cruz |
| 09:30 | Understanding Chest X-ray Vision Representations with DeViL (abstract) PRESENTER: Isabel Rio-Torto |
| 09:40 | Interpretable Hybrid Modeling for Breast Cancer Risk Stratification from Structured Radiology Reports (abstract) PRESENTER: Juan Salvador Toledo-Rios |
| 09:50 | Multimodal Multitask Neural ODEs for Continuous-Time Alzheimer's Disease Progression Forecasting (abstract) PRESENTER: Akeem Temitope Otapo |
| 10:00 | Deep Reinforcement Learning training for exoskeleton Exo-H3 using ROS (abstract) |
| 10:10 | Incomplete information retrieval without imputation: exploiting the correlation among deep features (abstract) |
| 10:20 | Applying Machine Learning to Predicting Malaria Prevalence: Spatial Analysis Results and Significance (abstract) PRESENTER: Abimbola Afolayan |
| 09:00 | Deep learning classifies Helicobacter pylori infection states from multi-channel immunofluorescence imagery (abstract) |
| 09:15 | Towards Computational Sub-Diffraction Single Vesicle Detection in Fluorescence Microscopy (abstract) |
| 09:30 | From crown delineation to CEJ–alveolar ridge measurement: a framework for Multi-Task panoramic radiographic segmentation (abstract) |
| 09:45 | Agreement Aware Hybrid YOLOv8-Keypoint R-CNN Framework for Automated Tooth Length Estimation from Dental X-Ray Images (abstract) |
| 10:00 | In-silico Validation of VesselVision: A Hybrid DL-based Arterial Wall-Recognition from A-mode Ultrasound Scans (abstract) |
| 10:15 | Continuous Coordinate-Space Diffusion for Probabilistic Cephalometric Landmark Localization (abstract) |
| 09:00 | A Secure Processing Platform supporting the European Health Data Space infrastructure (abstract) |
| 09:15 | Health Data Space Nodes for Privacy-Preserving Federated Learning and Analysis (abstract) PRESENTER: Guenter Schreier |
| 09:30 | From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation For Heart Failure Diagnosis (abstract) |
| 09:45 | Synthetic Data Generation and Multi-Dimensional Evaluation in Fondazione Italiana Linfomi (FIL) Diffuse Large B-Cell Lymphoma Clinical Cohort (abstract) |
| 10:00 | Mapping Actions and Resources for Innovation in Rare Diseases (MARI-RD): Tracking Collaboration Networks in Portuguese-Speaking Countries (abstract) PRESENTER: Filipe Bernardi |
| 10:15 | VIEWER: A population health management platform for supporting electronic audit and feedback in mental health care (abstract) |
| 09:00 | ConfiMed: A Parallel English–Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence (abstract) |
| 09:15 | DataPrivScore: A Framework for Privacy Assessment in Healthcare Datasets (abstract) |
| 09:30 | Evaluation of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data (abstract) |
| 09:45 | Operationalizing Entrustable Professional Activities: A Data-Centric Framework for Longitudinal Competency Analytics in Medical Education (abstract) |
| 10:00 | Identifying Performance and Engagement Profiles in Game-Based Handwriting Training in Primary Schools: Toward Early and Personalized Interventions (abstract) |
| 10:15 | Continuous AKI Prediction in the ICU (abstract) |
| 09:00 | Music-Induced Reorganization of Functional Brain Networks: A Link Prediction Study in Major Depressive Disorder (abstract) |
| 09:15 | A Proof-of-Concept Framework for Structured Analysis of Multimodal Machine Learning Literature: a case study on Breast Cancer literature analysis (abstract) |
| 09:30 | Green-Aware Connectome Classification Using Functional Connectivity: A Cross-Device Power Consumption Analysis (abstract) |
| 09:45 | Superpixel-Based Graph Representation for CESM Image Classification Using Graph Neural Networks (abstract) |
Parquet Lobby Area (in the Main Lobby). Please enjoy your coffee and visit the Showcases Area in the Panorama Room via the terrace.
Andreas Panayides (CYENS Centre of Excellence, Cyprus)
SupportAI: A Multimodal AI Platform for Clinical Decision Support - Project Overview (abstract) |
AVARIS-SmartPLAIGO: Integrating AI-Driven Decision Support into Cyprus’s National Ambulance Dispatch System (abstract) |
Deploying Telemonitoring Ecosystems for Cancer Care Across Europe: The eCAN and eCAN Plus Joint Action Project Experience (abstract) |
REMO: An Integrated Remote Patient Monitoring Initiative to Reduce Clinical Workload Through Workflow-Oriented Care Pathways (abstract) |
VELES Excellence Hub - Strengthening the South-East Europe Smart Health Regional Excellence and Boosting the Innovation Potential (abstract) |
The LIFEMap Project: Genomic Mapping of Paediatric Pathologies for Personalised Prevention of Cardiovascular and Neoplastic Diseases in Adults (abstract) PRESENTER: Giordano D'Aloisio |
Automated model-based surgical planning tool for PROstaTE Cancer brachyTherapy – PROTECT (abstract) |
AI-RBD: An Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography (abstract) |
DeepECG-Kit: A Practical and Reproducible Framework for ECG Deep Learning (abstract) |
From Prototype to Data Quality: Usability Findings for a Patient-Facing AI-Empowered Mobile Application for Automatic Cancer Pain Assessment (abstract) |
Opportunistic LoRaWAN-Based Step-Count Monitoring for Postoperative Follow-Up in Low-Connectivity Rural Settings (abstract) PRESENTER: Diego Narciandi-Rodríguez |
| 11:00 | Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets (abstract) PRESENTER: Chito Patiño |
| 11:15 | Integrating the Clarke Error Grid into Deep Learning to Enhance Clinical Performance in Glucose (abstract) |
| 11:30 | Assessing Concept and Virtual Drift in a Deep Learning Model for Antibiotic Resistance Prediction (abstract) |
| 11:45 | A Hierarchical Deep Learning Framework for Rapid Eye Movement Behavior Disorder Detection (abstract) PRESENTER: António Cardoso |
| 12:00 | Group Therapy for Elderly Depression: Deep Learning Based on Large Models of Music Affective Computing (abstract) |
| 12:15 | From Concepts to Evidence: Literature-Grounded Skin Lesion Diagnosis with Vision–Language and Retrieval-Augmented Models (abstract) PRESENTER: Gabriel Santos Martins Dias |
| 11:00 | Bridging 3D Deep Learning and Curation for Analysis and High-Quality Segmentation in Practice (abstract) |
| 11:10 | BEA-Net: Boundary-Aware 3D Attention Network for MRI Knee Cartilage Segmentation (abstract) PRESENTER: James Battye |
| 11:20 | Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing (abstract) |
| 11:30 | Multimodal AI for clinically significant prostate cancer detection: A comparative study of structured clinical-based, imaging and fusion models (abstract) |
| 11:40 | A Semi-Supervised Multiclass Pixel-Domain Classification Approach for Breast Cancer Microscopy Images Based on Nonlinear Metrics (abstract) |
| 11:50 | A Detection-Driven Pipeline for Nuclei Classification in Nasal Cytology (abstract) PRESENTER: Ciro Russo |
| 12:00 | GTDiagnosis: Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model (abstract) |
| 12:10 | Performance and Feature Analysis in Cataract Detection Using Artificial Intelligence Models (abstract) |
| 11:00 | Deep Learning–Based Hospital Admission Prediction from Spanish Psychiatric Electronic Health Records (abstract) PRESENTER: Arturo Crespo-Álvaro |
| 11:15 | Unified Vascular Score: A Data-Driven Framework for Personalized Cardiovascular Risk Stratification Using Arterial Stiffness (abstract) PRESENTER: Kiran V Raj |
| 11:30 | Multimodal ECG Abnormalities Classification Approach Based on Anamnesis Patient Data and Signal Integration (abstract) |
| 11:45 | High risk and preventable harm groups identified in clustering of older patients on features associated with adverse drug reactions (abstract) PRESENTER: Volodymyr Chapman |
| 12:00 | Subgroup Analysis for Risk of Fall Correlation Using the UK Biobank dataset (abstract) PRESENTER: Efterpi Karapintzou |
| 12:15 | Correlation-Based Validation of Multidomain Geriatric Assessment Tools for Older Adults Monitoring (abstract) |
| 11:00 | IndoClinNER: Overcoming Medical Prior Bias in Clinical De-identification via Adversarial Surname Injection (abstract) PRESENTER: Sayantan Mandal |
| 11:10 | PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets (abstract) |
| 11:20 | Vulnerability Audits for Connected Medical Devices (abstract) PRESENTER: Diego Narciandi-Rodríguez |
| 11:30 | Informed, Empowered, and Heard: AI and Retrieval-Augmented Generation as Tools for Equitable Patient Information in Oncology (abstract) |
| 11:40 | A Quantum-Inspired Framework for Secure and Intelligent Healthcare Systems in Pandemic-Scale Response (abstract) PRESENTER: Rayane Elrabaa |
| 11:00 | A Calibrated Quantitative Framework for Diaphragmatic Analysis: Clinical Validation on Real B-Mode Neonates Ultrasound Videos (abstract) |
| 11:15 | Semi-automated Diaphragmatic Motion Analysis in Neonates B-mode Ultrasound Videos (abstract) |
| 11:30 | A Semi-Automated Integrated System for the Segmentation of the Diaphragmatic Thickness in Ultrasound Videos of Neonates (abstract) |
| 11:45 | Diaphragmatic Normal and Abnormal Motion Analysis in Real Neonates Ultrasound Videos (abstract) |
| 12:00 | Diaphragmatic Normal and Abnormal Motion Analysis in Simulated Neonates Ultrasound Videos (abstract) |
| 12:15 | Automated Right Ventricular Segmentation from Apical Four-Chamber Echocardiographic Videos (abstract) |
Buffet Menu in Octagon Restaurant
Keynote Title
Techniques for Exploiting Machine Learning and Explainable Artificial Intelligence in Healthcare
Prof. Domenico Talia
University of Calabria, Italy
Noida University, India
Co-founder DtoK Lab
Keynote Abstract
Artificial intelligence techniques and systems are demonstrating their effectiveness in solving problems in many application areas, including healthcare. Over the years, several studies focused on leveraging machine learning and deep learning techniques to identify diseases in patients. However, while these techniques have demonstrated remarkable accuracy in diagnosis, they often operate as “black box” models, meaning they provide outputs without clear explanations of the rationale behind their decisions.
In response to this challenge, explainable artificial intelligence (XAI) has emerged as a research area aiming at providing not only accurate diagnoses but also understandable and interpretable explanations for the decisions made by AI models.
For providing explanations Large Language Models (LLMs) may be exploited. This talk introduces and discusses cutting-edge XAI techniques for healthcare applications, which hold the promise of enhancing trust, enabling clinicians to better understand and contextualize AI results, and ultimately improving patient care. Some significant case studies are presented.
Short Biography
Domenico Talia is a full professor of computer engineering at the University of Calabria, Italy and an Honorary professor at Noida University, India. He is a co-founder of the start-up DtoK Lab. His research interests include Big Data analysis, artificial intelligence, high-performance computing, parallel and distributed machine learning, Cloud computing, social data analysis, and parallel programming models and languages. Domenico Talia has published 10 books and more than 400 papers in archival journals such as Communications of the ACM, IEEE TPDS, IEEE Computer, IEEE TKDE, IEEE TSE, IEEE TSMC-A, IEEE TSMC-B, IEEE Micro, ACM Computing Surveys, FGCS, Parallel Computing, IEEE Internet Computing, and highly reputed conference proceedings. He is a member of the editorial boards of IEEE Computer, ACM Computing Surveys, the Future Generation Computer Systems journal, and other archival journals. He served as a program chair or program committee member of many international conferences. Talia has been the recipient of the Euro-Par Achievement Award 2025. He is a senior member of the Association for Computing Machinery (ACM) and IEEE Computer Society and has been a reviewer for several research agencies and public administrations.
Parquet Lobby Area (in the Main Lobby). Please enjoy your coffee and visit the Showcases Area in the Panorama Room.
| 16:00 | SAFER-Bench: A Comprehensive Benchmarking Framework for Evaluating Medical Federated Retrieval-Augmented Generation (RAG) Systems (abstract) |
| 16:15 | TIME-HF : Transformer for Integrated Medical Embeddings in EHR-based Heart Failure Prediction (abstract) |
| 16:30 | Reinforcement Learning Framework for Patient Allocation Between Complex and Regional Oncology Centres in Czechia (abstract) |
| 16:45 | Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs (abstract) PRESENTER: Łukasz Jeleń |
| 17:00 | AI-Assisted Secondary Use of Clinical Research Data: A Three-Dimensional Personalization Framework for Scientific Publication Drafting (abstract) |
| 16:00 | Towards Mask-Free Multi-Threshold Segmentation of Liver Lesions in CT Images Using a Multi-Objective Evolutionary Approach (abstract) |
| 16:15 | Semi-supervised GAN-based Segmentation of CTPA Scans for Pulmonary Emboli Boundary Extraction (abstract) |
| 16:30 | Region-Specific Evaluation of Carotid Artery Segmentation in Cross-Sectional Ultrasound Images Using Deep Learning Models (abstract) |
| 16:45 | Physics-Informed Neural Networks and Domain Decomposition for the Solution of Glioblastoma Invasion 2D model (abstract) |
| 17:00 | RAR-Net: Efficient Recurrent Anatomical Refinement for Medical Image Denoising (abstract) |
| 17:15 | Diffusion Models for Stroke Outcome Prediction from Acute CT Perfusion Slices: A Preliminary Study (abstract) PRESENTER: Mina A. Nessiem |
| 17:25 | Exploring Transformation-Based Radiomic Features in Breast Cancer (abstract) |
| 16:00 | A Data-Driven Approach to Support Clinical Renal Replacement Therapy (abstract) |
| 16:15 | A Temporally Aligned MIMIC-IV ED Pipeline for Multi-Outcome Prediction (abstract) |
| 16:25 | Temporal Drift in Action: Evaluating Strategies to Detect and Repair Drift using Real-World Data on Stroke and Myocardial Infarctions (abstract) |
| 16:35 | Transformer-Based Cardiovascular Event Prediction Using National Claims Data (abstract) |
| 16:45 | Predicting Emergency Admissions Following Chemotherapy: A Workload Planning Approach (abstract) |
| 16:55 | Real-World Validation of a Predictive Model for Length of Stay in Geriatric Settings (abstract) PRESENTER: Chiara Dachena |
| 17:05 | Clustering Type 1 Diabetes Patients based on Short-term Glycemic Dynamics (abstract) |
| 17:15 | Exploratory GRU-Based Temporal Modeling of Longitudinal Multimodal Signals for Early Dropout in Psychotherapy (abstract) |
A Tutorial of Recent Advances in Medical Video Analysis Systems
Marios S. Pattichis
Professor, Department of Electrical and Computer Engineering
The University of New Mexico, USA.
Abstract: Medical video analysis is undergoing a dramatic transformation that is heavily influenced by recent AI models. The tutorial will explore the evolution of AI models and datasets designed for video analysis. The tutorial will cover foundational concepts in the design of medical video analysis systems and show how these concepts are used in the development of 3D CNN and transformer-based architectures. Moreover, the tutorial will review recent trends, including the use of foundation models and Video Q&A systems applied to instructional medical videos. A summary of current and future work will also be provided.
Bio: Prof. Marios Pattichis received a B.Sc. degree (High Hons. and Special Hons.) in computer sciences, a B.A. degree (High Hons.) in mathematics, an M.S. degree in electrical engineering, and a Ph.D. degree in computer engineering from The University of Texas at Austin, Austin, TX, USA, in 1991, 1991, 1993, and 1998, respectively. He is currently a Professor and Director of online programs in the Department of Electrical and Computer Engineering at the University of New Mexico, where he recently introduced an online M.Sc. degree in Computer Engineering in Applied Machine Learning & Artificial Intelligence Systems Engineering. At UNM, he is also the Director of the Image and Video Processing and Communications Lab (ivPCL).
He has served as a Senior Associate Editor for the IEEE Transactions On Image Processing and a Senior Associate Editor for IEEE Signal Processing Letters, Associate Editor for IEEE Transactions on Image Processing, Pattern Recognition, IEEE Transactions on Industrial Informatics, and a Guest Associate Editor for special issues published in the IEEE Transactions on Information Technology in Biomedicine, and a special issue published in Biomedical Signal Processing and Control. He was elected as a Senior Member of the National Academy of Inventors and a Fellow of the European Alliance of Medical and Biological Engineering and Science (EAMBES) for his contributions to biomedical image analysis.
During the session, Awards for Best Paper and Best Student Paper will be announced and presented.
Rosa Sicilia (Università Campus Bio-Medico di Roma, Italy)