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

Days: Wednesday, June 18th Thursday, June 19th Friday, June 20th

Wednesday, June 18th

View this program: with abstractssession overviewtalk overview

08:00-09:00 Session 1: Registration – Day 1

Registration – Day 1

Wednesday, June 18th, 2025 – Starting at 08:00

Conference registration will take place in the main hall, located near the Salón de Actos. Please follow the instructions provided on the CBMS 2025 website to arrive at the venue.

Location: Main Hall
09:00-09:30 Session 2: Open Ceremony

Open Ceremony

Wednesday, June 18th, 2025 – 09:00 to 09:30

The CBMS 2025 Opening Ceremony will mark the official start of the conference, welcoming all participants to Madrid and introducing the event’s goals and highlights.

The ceremony will be presented by José Manuel Palacios Alberti, Director of the ETSIAAB (Universidad Politécnica de Madrid), together with Alejandro Rodríguez González and Rosa Sicilia, General Chairs of CBMS 2025.

09:30-10:30 Session 3: Keynote – Day 1

Keynote – Day 1

Wednesday, June 18th, 2025 – 09:30 to 10:30

Speaker: Dr. Gayo Diallo

Talk Title: Public Health in the Digital Age: Opportunities, Challenges, and Breakthroughs

Speaker Bio: Gayo Diallo is a Full Professor of Computer Science and Digital Health at the Bordeaux Public Health School of the University of Bordeaux. He serves as the deputy director of the Assessing Health in a Digitalizing Real-World Setting (AHeaD) research group of the Bordeaux Population Health Lab. He is an affiliate member of the Connected Minds Program at York University in Canada and was a Visiting Professor at University of Minnesota in 2022. His expertise lies in harnessing symbolic AI approaches and semantic technologies for healthcare and ICT for societal development (ICT4D), with various applications (e.g., Drug Discovery, Diseases Tarjectory Prediction), including a focus on low- and middle-income countries. Dr. Diallo’s prolific research has yielded over 110+ peer-reviewed articles (Inf. Fusion, JMIR, IEEE/ACM TCBB, Sci Rep, …) and patents. A true pioneer in healthcare informatics and symbolic AI, Dr. Diallo’s groundbreaking work paves the way for leveraging technology to revolutionize global health outcomes.

Abstract: This talk will strive to show how Computational and Digital Technology is becoming a Game-Changer in Public Health Transformation. Dr. Diallo will explore how cutting-edge digital and computational advancements are reshaping public health into a more efficient, data-driven, and accessible domain. He will highlight critical challenges, emerging opportunities, and real-world implementations across various public health sectors (inclunding drug repositionning and phramacovigilance, environmental health, health promotion for underserved population). Special attention will be given to the impact of digital transformation in developing countries and low- and middle-income nations, where innovation has the potential to drive meaningful change and improve health outcomes at scale.

10:30-12:00 Session 4A: D1.S1.R1 – ST GAI4BA I
Location: Aula A4
10:30
GANs and Fine-Tuning through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney Diseases (abstract)
PRESENTER: Luis A. L. Silva
10:50
Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach (abstract)
PRESENTER: Miguel Rujas
11:10
Harnessing Generative LLMs to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts (abstract)
11:30
Abbreviation Identification and Expansion in Real-World Clinical Narratives (abstract)
11:45
Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins (abstract)
PRESENTER: Amanda Bertgren
10:30-12:00 Session 4B: D1.S1.R2 – MT Medical Image Segmentation I

Main Track: Medical Image Segmentation I

Location: Aula A5
10:30
Towards Automated Placental Screening: Instance Segmentation in Clinical Images (abstract)
10:50
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation (abstract)
PRESENTER: Arnav Bhavsar
11:10
Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study (abstract)
PRESENTER: Hanna Borgli
11:30
Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI (abstract)
11:45
A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning (abstract)
10:30-12:00 Session 4C: D1.S1.R3 – MT Unsupervised and Semi-Supervised Learning with Biomedical Data

Main Track: Unsupervised and Semi-Supervised Learning with Biomedical Data

Location: Aula A6
10:30
Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering (abstract)
10:50
From ICU Data to Patient Cohorts: Benchmarking Temporal Patient Representation Learning for Unsupervised Stratification (abstract)
PRESENTER: Dimitrios Proios
11:10
A comparative study of clustering methods for feature engineering in predicting the progression of severe disease trajectories. (abstract)
11:30
A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture (abstract)
PRESENTER: Florian Robert
11:45
Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence using Reimbursement Data (abstract)
PRESENTER: Mamoudou Koume
10:30-12:00 Session 4D: D1.S1.R4 – MT AI for Clinical Data

Main Track: AI for Clinical Data

Location: Aula A7
10:30
A comparative analysis of AI-based solutions for clinical documentation (abstract)
10:50
An embedding-based method for processing medical audio into structured reports (abstract)
11:10
Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes (abstract)
11:30
ICD code assignment from clinical text: impact of document composition (abstract)
11:45
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 (abstract)
12:00-12:30Coffee Break

Coffee Break

Wednesday, June 18th, 2025 – 12:00 to 12:30

The coffee break will take place outside, at the pond garden, near the main building.

12:00-12:30 Session 5: Posters – Day 1

Poster's Presentations Day 1

Location: Main Hall
RadGen: A Cross-Modal Fusion System for Automated Radiology Report Generation (abstract)
PRESENTER: Zheng Zheng
Infrared breast image segmentation using deep neural networks on thermographic images (abstract)
PRESENTER: André R Backes
Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives (abstract)
COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care (abstract)
PRESENTER: Antonis Billis
ChestXsim: an open-source framework for realistic chest X-ray tomosynthesis simulations (abstract)
An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization (abstract)
PRESENTER: Mihai Andries
12:30-14:00 Session 6A: D1.S2.R1 – ST GAI4BA II
Location: Aula A4
12:30
Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset (abstract)
PRESENTER: Tania Pereira
12:50
Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation (abstract)
PRESENTER: Luis A. L. Silva
13:10
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer (abstract)
PRESENTER: Valerio Guarrasi
13:30
Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation (abstract)
12:30-14:00 Session 6B: D1.S2.R2 – MT Medical Image Segmentation II

Main Track: Medical Image Segmentation II

Location: Aula A5
12:30
Nuclear segmentation in histological images using multiple attention system mixing (abstract)
12:50
Automating Tissue Segmentation and Quantification for Wound Healing Assessment (abstract)
PRESENTER: Rafaela Carvalho
13:10
Adapting a Segmentation Foundation Model for Medical Image Classification (abstract)
PRESENTER: Fabian Vazquez
13:30
From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation (abstract)
PRESENTER: Marco Magliocco
13:45
Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA (abstract)
PRESENTER: Jae Eun Ko
12:30-14:00 Session 6C: D1.S2.R3 – MT Smart Monitoring and Imaging in Healthcare

Main Track: Smart Monitoring and Imaging in Healthcare

Location: Aula A6
12:30
Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings? (abstract)
PRESENTER: Ana Cisnal
12:50
Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration (abstract)
13:10
Interactive Methodology for Publishing Tabular Data with Privacy Preservation (abstract)
13:30
Automatic detection of pleural plaques presence in asbestos-exposed individuals (abstract)
PRESENTER: Yannis Petitpas
13:45
Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology (abstract)
12:30-14:00 Session 6D: D1.S2.R4 – MT NLP and Pattern Learning in Health

Main Track: NLP and Pattern Learning in Health

Location: Aula A7
12:30
Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach (abstract)
12:50
A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline (abstract)
PRESENTER: João Paulo Papa
13:10
Automated Coding of French Emergency Calls Using BERT (abstract)
PRESENTER: Samuel Lebot
13:30
Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features (abstract)
PRESENTER: Peter Drotár
14:00-15:15Lunch Break

Lunch Break

Wednesday, June 18th, 2025 – 14:00 to 15:15

Lunch will be served at the pond garden area, next to the main venue.

15:15-16:45 Session 7A: D1.S3.R1 – ST NM I
Location: Aula A4
15:15
High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas (abstract)
15:35
Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis (abstract)
15:55
Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis (abstract)
16:15
Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures (abstract)
15:15-16:45 Session 7B: D1.S3.R2 – MT Medical Image Segmentation III

Main Track: Medical Image Segmentation III

Location: Aula A5
15:15
Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation (abstract)
PRESENTER: Fabian Vazquez
15:35
Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications (abstract)
PRESENTER: Agma Traina
15:55
Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs (abstract)
16:15
3D Semantic Cell Segmentation via Propagation of 2D results and Integration of Intercellular Priors (abstract)
PRESENTER: Florian Robert
16:30
Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes (abstract)
15:15-16:45 Session 7C: D1.S3.R3 – MT AI in Cancer Diagnosis and Prediction

Main Track: AI in Cancer Diagnosis and Prediction

Location: Aula A6
15:15
AI-Driven Survival Prediction in Pancreatic Cancer (abstract)
15:35
A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions (abstract)
PRESENTER: João Paulo Papa
15:55
Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach (abstract)
PRESENTER: Dmitrii Kaplun
16:15
Ensemble of radiomics and ConvNeXt for breast cancer diagnosis (abstract)
16:30
Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach (abstract)
15:15-16:45 Session 7D: D1.S3.R4 – MT Glucose Prediction and Diabetes Management

Main Track: Glucose Prediction and Diabetes Management

Location: Aula A7
15:15
Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes (abstract)
PRESENTER: Carlos Gallardo
15:35
Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes (abstract)
15:55
Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes (abstract)
PRESENTER: Sarala Ghimire
16:15
On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition (abstract)
PRESENTER: Tomas Koutny
16:45-17:15Coffee Break

Coffee Break

Wednesday, June 18th, 2025 – 16:45 to 17:15

The coffee break will take place outside, at the pond garden, near the main building.

16:45-17:15 Session 8: Posters – Day 1

Poster's Presentations Day 1

Location: Main Hall
Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis (abstract)
Advances on Real Time M/EEG Neural Feature Extraction (abstract)
BQD: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale (abstract)
PRESENTER: Paul Fricker
Intraoperative Absolute Depth Estimation in MVD Surgery (abstract)
PRESENTER: Jinhee Lee
Towards Universal Cytopathology Segmentation: Transformer and CNN Models Across Stains (abstract)
17:15-18:15 Session 9A: D1.S4.R1 – ST NM II
Location: Aula A4
17:15
Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis (abstract)
PRESENTER: Simone Boesso
17:35
Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer (abstract)
17:55
Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules through the lens of Network Medicine (abstract)
PRESENTER: Antonio Gil Hoed
17:15-18:15 Session 9B: D1.S4.R2 – MT Medical Image Segmentation IIII

Main Track: Medical Image Segmentation IIII

Location: Aula A5
17:15
Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy (abstract)
17:35
CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images (abstract)
PRESENTER: Thaína Tosta
17:55
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging (abstract)
17:15-18:15 Session 9C: D1.S4.R3 – MT m-Health and Telemedicine

Main Track: m-Health and Telemedicine

Location: Aula A6
17:15
Leveraging Natural Language Processing for No-Code mHealth Development: A Component-Based Approach Using Nursing Taxonomies (abstract)
PRESENTER: William Niemiec
17:35
Automated Regulatory Classification of Mobile Medical Apps (abstract)
PRESENTER: Raina Samuel
17:55
Machine learning prediction of heart health status from mobile PPG measurements (abstract)
17:15-18:15 Session 9D: D1.S4.R4 – MT Speech Analysis

Main Track: Speech Analysis

Location: Aula A7
17:15
LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives (abstract)
PRESENTER: Jihun Lee
17:35
A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia (abstract)
17:55
Augmented Speech Generalization in Parkinson’s disease detection (abstract)
PRESENTER: Máté Hireš
19:30-22:00 Social Activity - Madrid Walking Tour

Social Activity

Wednesday, June 18th, 2025 – Evening

Join us for the CBMS 2025 Social Activity on the evening of Wednesday, June 18th. This event will offer attendees a unique opportunity to relax, network, and enjoy the cultural and social atmosphere of Madrid.

Meeting point: Plaza de España

For full details, please visit: https://2025.cbms-conference.org/social-activity/

Thursday, June 19th

View this program: with abstractssession overviewtalk overview

08:00-09:00 Session 10: Registration – Day 2

Registration – Day 2

Thrusday, June 19th, 2025 – Starting at 08:00

Conference registration will take place in the main hall, located near the Salón de Actos. Please follow the instructions provided on the CBMS 2025 website to arrive at the venue.

Location: Main Hall
09:00-10:00 Session 11: Keynote – Day 2

Keynote – Day 2

Thursday, June 19th, 2025 – 09:00 to 10:00

SpeakerDr. Eamonn Keogh

Talk Title: Finding and Exploiting Repeated Structures in Medical Time Series

Speaker Bio: Dr. Keogh is a Distinguished Professor of Computer Science at the University of California. He is the inventor of many of the most commonly used time series data mining primitives including, PAA, LBkeogh, UCR-Suite, the Matrix Profile, SAX, Time Series Motifs and Time Series Shapelets. The last six ideas have gone on to garner at least a thousand citations each. With 32 papers, he is the most prolific author in the Data Mining and Knowledge Discovery journal and a top-ten most prolific author in ACM SIGKDD, IEEE ICDM and SIAM SDM (with 32/47/27 papers respectively). He has won numerous awards, including: The Bell Labs Bronze Prize 2021, the ACM SIGKDD 2022 Test of Time Paper Award, the 2021 IEEE ICDM Research Contributions Award, Two Google Faculty Awards, and best paper awards at SIGKDD (twice), SIGMOD (1), ICDM (three times) and SDM. He is the creator of the UCR Time Series Classification Archive, which has been used in more than 5,000 research papers.

Abstract: It is well understood that the main key to understanding discrete strings such as DNA is to reason about conserved structures, i.e. DNA motifs, both within and between chromosomes. In this talk Dr. Keogh will argue that conserved structures in real-valued time series can be just as useful and actionable. A motif in medical telemetry must have a cause, and in many cases those causes have a semantic interpretation, such as  pulsus paradoxus in ECGS, eyeblinks in EOGs, K-complexes in EEGs etc. Once discovered, these motifs can be exploited by downstream algorithms such as classification, clustering, rule-discovery, segmentation, summarization, compression and anomaly detection. Dr. Keogh will further show that recent progress in time series data mining means that the discovery of time series motifs in large medical datasets is now practical with simple tools, and time series motifs ready to be exploited by researchers and medical professionals. Dr. Keogh will illustrate his talk with case studies I conducted with leading cardiologists on real datasets. Finally, Dr. Keogh will conclude his talk by providing resources such as simple-to-used code and datasets, that will allow the audience to start searching their datasets for time series motifs.  

10:00-11:30 Session 12A: D2.S1.R1 – ST MAIH I
Location: Aula A4
10:00
Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models (abstract)
PRESENTER: Sushant Gautam
10:20
LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation (abstract)
PRESENTER: Jisun Hong
10:40
Generative-AI Solutions for Connecting Seniors and Healthcare Providers (abstract)
11:00
A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare (abstract)
PRESENTER: Vincenzo Moscato
10:00-11:30 Session 12B: D2.S1.R2 – ST SPHS
Location: Aula A5
10:00
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees (abstract)
PRESENTER: Mikel Hernandez
10:20
ECG De-anonymization: Real-world Risks and a Privacy-by-design Mitigation Strategy (abstract)
PRESENTER: Hamza Aguelal
10:40
Benchmarking institutions’ health outcomes with clustering methods (abstract)
11:00
An Implementation Framework Supporting Privacy by Design in Mobile Health Applications (abstract)
10:00-11:30 Session 12C: D2.S1.R3 – MT Virtual and Interactive Technologies in Healthcare

Main Track: Virtual and Interactive Technologies in Healthcare

Location: Aula A6
10:00
VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare (abstract)
PRESENTER: Samuel Truman
10:20
Lower-Limb Bradykinesia Assessment in Parkinson’s Disease from Routine Clinical Videos (abstract)
10:40
Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation (abstract)
11:00
Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform (abstract)
PRESENTER: Ana Cisnal
10:00-11:30 Session 12D: D2.S1.R4 – MT AI for Diagnosis, Prediction and Radiomics

Main Track: AI for Diagnosis, Prediction and Radiomics

Location: Aula A7
10:00
A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates (abstract)
10:20
Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data (abstract)
10:40
A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population (abstract)
10:55
Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images (abstract)
11:30-12:00Coffee Break

Coffee Break

Thrusday, June 19th, 2025 – 11:30 to 12:00

The coffee break will take place outside, at the pond garden, near the main building.

11:30-12:00 Session 13: Posters – Day 2

Poster's Presentations Day 2

Location: Main Hall
DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing (abstract)
MindMap: ML-based Mapping of the Progression of Alzheimer’s Disease Using Human Expression As A Behavioral Biomarker (abstract)
Machine learning identification of genetic variants associated with sub-optimal ovarian response and hyper-response (abstract)
PRESENTER: José A. Ortiz
Supervised machine learning and active learning for surrogate outcome detection in clinical protocols (abstract)
PRESENTER: Onyeka Obuaya
Explainable AI and trust, design methodologies to explore patients’ perspective (abstract)
PRESENTER: Wen Zhan
Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data (abstract)
PRESENTER: Miwa Sugitani
12:00-13:30 Session 14A: D2.S2.R1 – ST MAIH II
Location: Aula A4
12:00
Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification (abstract)
PRESENTER: Qiao Chen
12:20
Bone Fracture Detection via GANs-Based Multi-Modal Fusion Tenchnique (abstract)
12:40
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin (abstract)
13:00
A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients (abstract)
PRESENTER: Christian Mata
12:00-13:30 Session 14B: D2.S2.R2 – MT Bioinformatics

Main Track: Bioinformatics

Location: Aula A5
12:00
Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units (abstract)
12:20
Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples (abstract)
12:40
VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery (abstract)
12:55
Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance (abstract)
13:10
Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders (abstract)
12:00-13:30 Session 14C: D2.S2.R3 – MT Monitoring and Interaction in Assistive Therapies

Main Track: Monitoring and Interaction in Assistive Therapies

Location: Aula A6
12:00
Remote Monitoring of Rehabilitation Exercises Through Motion Assessment (abstract)
PRESENTER: Ilaria Basile
12:20
Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults (abstract)
12:40
Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control (abstract)
PRESENTER: Davide Colasanto
13:00
Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder (abstract)
PRESENTER: Jônata Tyska
12:00-13:30 Session 14D: D2.S2.R4 – MT Explainability and Interpretability in Medicine

Main Track: Explainability and Interpretability in Medicine

Location: Aula A7
12:00
Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence (abstract)
PRESENTER: Hugo Lewi Hammer
12:20
Detection of active and latent tuberculosis with explainable deep learning ensembles (abstract)
PRESENTER: Lara Visuña
12:40
Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach (abstract)
PRESENTER: Hafez Kader
13:00
Interpretable Machine Learning for Early Detection of Critical Patients in the Emergency Department (abstract)
13:30-14:45Lunch Break

Lunch Break

Thrusday, June 19th, 2025 – 13:30 to 14:45

Lunch will be served at the pond garden area, next to the main venue.

14:45-16:15 Session 15A: D2.S3.R1 – ST MAIH III
Location: Aula A4
14:45
Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images (abstract)
15:05
ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer (abstract)
PRESENTER: Yang Zhao
15:25
Graph Neural Networks For The Localization Of Breathing Abnormalities (abstract)
PRESENTER: Syed Zaidi
15:45
Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography (abstract)
14:45-16:15 Session 15B: D2.S3.R2 – ST SIBIDA I
Location: Aula A5
14:45
FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration (abstract)
PRESENTER: Dominik Tomaszuk
15:05
Ontology Similarity Prediction: UMLS (abstract)
PRESENTER: Safaa Menad
15:25
Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers (abstract)
PRESENTER: Gabriel Medeiros
15:45
Lung-CABO: Lung Cancer Concepts Association Biological Ontology (abstract)
16:00
An embedding-based machine learning solution for medical concept mapping (abstract)
PRESENTER: Vicente Barros
14:45-16:15 Session 15C: D2.S3.R3 – MT AI in Chest Imaging

Main Track: AI in Chest Imaging

Location: Aula A6
14:45
The Hidden Threat of Hallucinations in Binary Chest X-ray Pneumonia Classification (abstract)
PRESENTER: Sameer Antani
15:05
Evaluation of Client Participantion on Federated Learning Scenario for Chest X-ray Imaging (abstract)
15:25
Enhancing Pulmonary Nodule Localization based on Latent Representations (abstract)
15:45
Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort (abstract)
14:45-16:15 Session 15D: D2.S3.R4 – MT Advanced Learning Techniques in Medical Decision Support

Main Track: Advanced Learning Techniques in Medical Decision Support

Location: Aula A7
14:45
Improving Diabetic Retinopathy classification using class imbalance correction techniques (abstract)
PRESENTER: Caroline König
15:05
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy (abstract)
15:25
Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesion in Mammograms (abstract)
PRESENTER: Domenec Puig
15:45
Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission (abstract)
PRESENTER: André Backes
16:15-16:45Coffee Break

Coffee Break

Thrusday, June 19th, 2025 – 16:15 to 16:45

The coffee break will take place outside, at the pond garden, near the main building.

16:15-16:45 Session 16: Posters – Day 2

Poster's Presentations Day 2

Location: Main Hall
Towards Detection of Perfusion Disorders Using Remote Photoplethysmography (abstract)
PRESENTER: Samuel Tauber
Circadian Stability via Accelerometer in People with Dementia: a DARK.DEM proof-of-concept (abstract)
Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care (abstract)
PRESENTER: Darcy Murphy
A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results from the 5-D Study (abstract)
PRESENTER: Kamilla Haugland
Exploring causal modeling to enhance diabetes prediction and management (abstract)
16:45-18:15 Session 17A: D2.S4.R1 – ST P&I
Location: Aula A4
16:45
ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM (abstract)
17:05
A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires (abstract)
17:25
AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition (abstract)
PRESENTER: Lorenzo Pede
17:45
ANT - Advancing Neurofeedback (in Tinnitus) (abstract)
18:00
Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation (abstract)
PRESENTER: Vinicius Lima
16:45-18:15 Session 17B: D2.S4.R2 – ST SIBIDA II
Location: Aula A5
16:45
Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG (abstract)
17:05
Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph (abstract)
17:25
FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging (abstract)
17:45
A Federated Random Forest Solution for Secure Distributed Machine Learning (abstract)
16:45-18:15 Session 17C: D2.S4.R3 – MT Computational Signal Processing

Main Track: Computational Signal Processing

Location: Aula A6
16:45
Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis (abstract)
17:05
Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders (abstract)
PRESENTER: Jonah Fernandez
17:25
Self-supervised learning of band-limited spectral features from sleep EEG using variational autoencoders (abstract)
17:45
Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database (abstract)
PRESENTER: Mohamed Nafea
16:45-18:15 Session 17D: D2.S4.R4 – MT Deep Learning in Medicine

Main Track: Deep Learning in Medicine

Location: Aula A7
16:45
Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals (abstract)
PRESENTER: Dmitry Goldgof
17:05
Deep learning-based models for Sickle Cell Anemia characterization in retinal fundus images (abstract)
PRESENTER: Lucía Ramos
17:25
A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment (abstract)
PRESENTER: Ciro Russo
17:45
A deep learning-assisted hybrid model for electric dosimetry in electroporation therapies (abstract)
PRESENTER: Kylian Desier
20:30-23:00 Gala Dinner

Gala Dinner

Thursday, June 19th, 2025 – Evening

Join us for the CBMS 2025 Gala Dinner, a memorable evening to celebrate the conference with colleagues, speakers, and organizers in a relaxed and elegant setting.

LocationNH Eurobuilding Hotel

For full details, please visit: https://2025.cbms-conference.org/gala-dinner/

Friday, June 20th

View this program: with abstractssession overviewtalk overview

08:00-09:00 Session 18: Registration – Day 3

Registration – Day 3

Friday, June 20th, 2025 – Starting at 08:00

Conference registration will take place in the main hall, located near the Salón de Actos. Please follow the instructions provided on the CBMS 2025 website to arrive at the venue.

Location: Main Hall
09:00-10:00 Session 19: Keynote – Day 3

Keynote – Day 3

Friday, June 20th, 2025 – 09:00 to 10:00

Speaker: Dr. Fátima Sánchez Cabo

Talk Title: Towards Digital Twins for Cardiovascular Research

Speaker Bio: Dr. Sanchez-Cabo is a mathematician by training, working for 25 years in bioinformatics. Her focus is the integrative analysis of big biomedical data using mathematical models and advanced statistical techniques, including AI approaches and causal inference methods. After obtaining her PhD in Life Sciences from the University of Manchester and a postdoctoral stay at the Graz University of Technology (Austria) she joined the National Center for Cardiovascular Research, where she currently leads the Computational Systems Biomedicine Lab and the Bioinformatics Unit, which integrate a team of 25 bioinformaticians of different backgrounds. So far she has authorshipped more than 120 scientific articles in peer-reviewed journals and obtained over 7M € in competitive calls at the national and international level. She is also an associate professor at the Universidad Autonoma de Madrid, member of the advisory board of the European Elixir infrastructure and the vicepresident of the Spanish Society for Bioinformatics and Computational Biology (SEBiBC).

Abstract: Digital twins are high-resolution models of individuals built upon their multi-layer and dynamic molecular and phenotypical characteristics, integrating prior knowledge with patient-specific data. Widely used in other fields, they are a young field in biomedicine, since the underlying networks are often unknown. Thanks to the large amount of molecular, clinical and imaging data gathered in different biobanks, and particularly in the PESA study at CNIC (https://pesastudy.org/), Dr. Sánchez Cabo team are applying causal inference techniques at the core of explainable AI to infer the personalized paths leading from health to disease. This virtual representations of individuals with similar characteristics, can be used to simulate the effect of different interventions on CV health. Also, the longitudinal nature of their studies makes it possible to test in vivo the proposed models. 

10:00-11:30 Session 20A: D3.S1.R1 – MT Biomedical Signal, Image Processing and Machine Vision

Main Track: Biomedical Signal, Image Processing and Machine Vision

Location: Aula A4
10:00
Multi-harmonic Visualization for Actigraphy-measured Circadian Rhythm with Evolutionary Learning in People with Dementia (abstract)
PRESENTER: Monica Patrascu
10:20
A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants (abstract)
10:40
Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements (abstract)
11:00
Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation (abstract)
PRESENTER: Kim Seunghui
10:00-11:30 Session 20B: D3.S1.R2 – MT Vision and Language Models

Main Track: Vision and Language Models

Location: Aula A5
10:00
MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines (abstract)
10:20
Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections (abstract)
10:40
Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds (abstract)
PRESENTER: Dmitry Goldgof
11:00
CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning (abstract)
10:00-11:30 Session 20C: D3.S1.R3 – MT Advances in Computed Tomography

Main Track: Advances in Computed Tomography

Location: Aula A6
10:00
Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED (abstract)
PRESENTER: Qianyu Xie
10:20
AI-driven Lung-RADS Classification on CT Reports (abstract)
PRESENTER: Marcelo Oliveira
10:40
CT Sinogram inpainting for truncation artifact correction and Field-of-view extension (abstract)
PRESENTER: Daniel Sanderson
11:00
Automatic calibration for CT bed stitching based on Fourier-Mellin (abstract)
PRESENTER: Daniel Sanderson
10:00-11:30 Session 20D: D3.S1.R4 – MT Digital Solutions for Health Systems

Main Track: Digital Solutions for Health Systems

Location: Aula A7
10:00
AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data (abstract)
PRESENTER: Joao Pedro Silva
10:20
Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models (abstract)
PRESENTER: Lise Prinsloo
10:40
Current Situation of Serious Games to Support Ecuadorian Health (abstract)
10:55
Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN (abstract)
11:30-12:00Coffee Break

Coffee Break

Friday, June 20th, 2025 – 11:30 to 12:00

The coffee break will take place outside, at the pond garden, near the main building.

12:00-13:30 Session 21A: D3.S2.R1 – MT Biomedical Signal and Medical Image

Main Track: Biomedical Signal and Medical Image

Location: Aula A4
12:00
Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning (abstract)
PRESENTER: Jesus Sanchez
12:20
Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype (abstract)
PRESENTER: Yaqeen Ali
12:40
Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods (abstract)
13:00
Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning (abstract)
12:00-13:30 Session 21B: D3.S2.R2 – MT Neurofeedback Applications

Main Track: Neurofeedback Applications

Location: Aula A5
12:00
Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users (abstract)
PRESENTER: Delphine Ribes
12:15
Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment (abstract)
PRESENTER: Adrian Naas
12:00-13:30 Session 21C: D3.S2.R3 – MT Eye-Tracking and AI in Clinical Assessment

Main Track: Eye-Tracking and AI in Clinical Assessment

Location: Aula A6
12:00
Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies (abstract)
12:20
Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification (abstract)
PRESENTER: Sami Andberg
12:40
Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers (abstract)
PRESENTER: Raffaele Mineo
13:00
A Transformer-Based Anomaly Detection System for OCT Image Embeddings (abstract)
PRESENTER: Eugenia Piñeiro
12:00-13:30 Session 21D: D3.S2.R4 – MT Advanced Technologies and Optimization in Clinical Applications

Main Track: Advanced Technologies and Optimization in Clinical Applications

Location: Aula A7
12:00
Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway (abstract)
12:15
Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next (abstract)
PRESENTER: Sameer Antani
12:35
Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding (abstract)
PRESENTER: Zahraa Alzein
12:50
A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging (abstract)
PRESENTER: Zahraa Alzein
13:30-13:50 Session 22: Free time

Free Time

Attendees will have a 20 minutes break before the Closing Ceremony starts.

13:50-14:20 Session 23: Closing Ceremony

Closing Ceremony

Friday, June 20th, 2025 – 13:50 to 14:20

The CBMS 2025 Closing Ceremony will be presented by Alejandro Rodríguez González. During the session, the TCCLS Awards for Best Paper and Best Student Paper will be announced and presented.

14:20-15:30Lunch Break

Lunch Break

Friday, June 20th, 2025 – 14:20 to 15:30

Lunch will be served at the pond garden area, next to the main venue.