Days: Wednesday, June 18th Thursday, June 19th Friday, June 20th
View this program: with abstractssession overviewtalk overview
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.
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.
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 | 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) PRESENTER: Ariel Soares Teles |
11:30 | Abbreviation Identification and Expansion in Real-World Clinical Narratives (abstract) PRESENTER: João Pedro Joaquim |
11:45 | Generative adversarial networks for synthetic longitudinal electronic health records enabling cardiovascular digital twins (abstract) PRESENTER: Amanda Bertgren |
Main Track: Medical Image Segmentation I
10:30 | Towards Automated Placental Screening: Instance Segmentation in Clinical Images (abstract) PRESENTER: Bibiana Quatrin Tiellet da Silva |
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) PRESENTER: Paula Puerta Gonzalez |
11:45 | A Novel F-Net Model for Robust Breast Tumor Segmentation via Transfer Learning (abstract) PRESENTER: Abdullah F. Al-Battal |
Main Track: Unsupervised and Semi-Supervised Learning with Biomedical Data
10:30 | Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering (abstract) PRESENTER: Federico Digiacomo |
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) PRESENTER: Nichalini Kandasamy |
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 |
Main Track: AI for Clinical Data
10:30 | A comparative analysis of AI-based solutions for clinical documentation (abstract) PRESENTER: João Rafael Almeida |
10:50 | An embedding-based method for processing medical audio into structured reports (abstract) PRESENTER: Luis Carlos Afonso |
11:10 | Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes (abstract) PRESENTER: Sergio Rubio-Martín |
11:30 | ICD code assignment from clinical text: impact of document composition (abstract) PRESENTER: Julián Prieto Velasco |
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) PRESENTER: Lucía A. Carrasco-Ribelles |
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.
Poster's Presentations Day 1
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) PRESENTER: Nicolò Lauciello |
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) PRESENTER: Blanca Hermosilla |
An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization (abstract) PRESENTER: Mihai Andries |
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) PRESENTER: Iratxe Zunzunegui Sanz |
Main Track: Medical Image Segmentation II
12:30 | Nuclear segmentation in histological images using multiple attention system mixing (abstract) PRESENTER: Thaína Aparecida Azevedo Tosta |
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 |
Main Track: Smart Monitoring and Imaging in Healthcare
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) PRESENTER: Edgar Rodrigo González Campos |
13:10 | Interactive Methodology for Publishing Tabular Data with Privacy Preservation (abstract) PRESENTER: Ariel Soares Teles |
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) PRESENTER: Bibiana Quatrin Tiellet |
Main Track: NLP and Pattern Learning in Health
12:30 | Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach (abstract) PRESENTER: Christopher Flores |
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 |
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 | High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas (abstract) PRESENTER: Francisco A. Gomez-Vela |
15:35 | Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis (abstract) PRESENTER: Andrea Álvarez Pérez |
15:55 | Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis (abstract) PRESENTER: Belén Otero-Carrasco |
16:15 | Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures (abstract) PRESENTER: Paloma Tejera-Nevado |
Main Track: Medical Image Segmentation III
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) PRESENTER: Alessandra Macedo |
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) PRESENTER: Ruben Omar Azuara-Dominguez |
Main Track: AI in Cancer Diagnosis and Prediction
15:15 | AI-Driven Survival Prediction in Pancreatic Cancer (abstract) PRESENTER: Arturo Crespo-Álvaro |
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) PRESENTER: Jorge Alberto Garza-Abdala |
16:30 | Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach (abstract) PRESENTER: Daniel Corrales Alonso |
Main Track: Glucose Prediction and Diabetes Management
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) PRESENTER: Carlos Gallardo García |
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 |
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.
Poster's Presentations Day 1
Driving and Sleep Deprivation: Comparing Interventions using a Driving Simulator with EEG Analysis (abstract) PRESENTER: Andreas Miltiadous |
Advances on Real Time M/EEG Neural Feature Extraction (abstract) PRESENTER: Payam Sadeghi Shabestari |
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) PRESENTER: Bibiana Quatrin Tiellet |
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) PRESENTER: Paloma Tejera-Nevado |
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 |
Main Track: Medical Image Segmentation IIII
17:15 | Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy (abstract) PRESENTER: Blanca Rodriguez-Gonzalez |
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) PRESENTER: Elena Mulero Ayllón |
Main Track: m-Health and Telemedicine
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) PRESENTER: Sergio A. Alvarez |
Main Track: Speech Analysis
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) PRESENTER: Jean Paul Vera Soto |
17:55 | Augmented Speech Generalization in Parkinson’s disease detection (abstract) PRESENTER: Máté Hireš |
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/
View this program: with abstractssession overviewtalk overview
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.
Keynote – Day 2
Thursday, June 19th, 2025 – 09:00 to 10:00
Speaker: Dr. 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 | 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) PRESENTER: Emad Deilam Salehi |
11:00 | A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare (abstract) PRESENTER: Vincenzo Moscato |
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) PRESENTER: Fabricio de Oliveira Ourique |
Main Track: Virtual and Interactive Technologies in Healthcare
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) PRESENTER: Katherine Coutinho García |
10:40 | Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation (abstract) PRESENTER: Nazanin Sheykhmohammadi |
11:00 | Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform (abstract) PRESENTER: Ana Cisnal |
Main Track: AI for Diagnosis, Prediction and Radiomics
10:00 | A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates (abstract) PRESENTER: Abdelghani Halimi |
10:20 | Enhancing Radiomic Feature Robustness through Voxel Spacing–Aware Extraction in Anisotropic CT Data (abstract) PRESENTER: David Corral Fontecha |
10:40 | A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population (abstract) PRESENTER: Suthee Treewatanawong |
10:55 | Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images (abstract) PRESENTER: Jorge Alberto Garza-Abdala |
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.
Poster's Presentations Day 2
DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing (abstract) PRESENTER: Lucía Prieto Santamaría |
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 | 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) PRESENTER: Abdullah Faisal Al-Battal |
12:40 | Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin (abstract) PRESENTER: Francesco Di Feola |
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 |
Main Track: Bioinformatics
12:00 | Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units (abstract) PRESENTER: Cristina Soguero-Ruiz |
12:20 | Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples (abstract) PRESENTER: Dimitrios Vogiatzis |
12:40 | VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery (abstract) PRESENTER: Álvaro Serrano Navarro |
12:55 | Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance (abstract) PRESENTER: Alejandro Santos Díaz |
13:10 | Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders (abstract) PRESENTER: Juan Esparza Sanchez |
Main Track: Monitoring and Interaction in Assistive Therapies
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) PRESENTER: Styliana Siakopoulou |
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 |
Main Track: Explainability and Interpretability in Medicine
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) PRESENTER: Constantinos Pattichis |
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 | Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images (abstract) PRESENTER: Thaína A. A. Tosta |
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) PRESENTER: David Gómez Ortiz |
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) PRESENTER: Antonio Jesus Diaz Honrubia |
16:00 | An embedding-based machine learning solution for medical concept mapping (abstract) PRESENTER: Vicente Barros |
Main Track: AI in Chest Imaging
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) PRESENTER: Carlos F. Del Cerro |
15:25 | Enhancing Pulmonary Nodule Localization based on Latent Representations (abstract) PRESENTER: Thiruvarangan Ramaraj |
15:45 | Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort (abstract) PRESENTER: Francesco Di Feola |
Main Track: Advanced Learning Techniques in Medical Decision Support
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) PRESENTER: Francisco Lopez-Tiro |
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 |
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.
Poster's Presentations Day 2
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) PRESENTER: Valentina Casadei |
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) PRESENTER: Patrizia Quaranta |
16:45 | ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM (abstract) PRESENTER: Ernestina Menasalvas |
17:05 | A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires (abstract) PRESENTER: Iwens Gervasio Sene Junior |
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) PRESENTER: Andreas Sonderegger |
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 | Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG (abstract) PRESENTER: Mirela Teixeira Cazzolato |
17:05 | Predicting Multi-Class Drug-Drug Interactions Using a Disease-Specific Knowledge Graph (abstract) PRESENTER: Konstantinos Bougiatiotis |
17:25 | FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging (abstract) PRESENTER: Agma J. M. Traina |
17:45 | A Federated Random Forest Solution for Secure Distributed Machine Learning (abstract) PRESENTER: Alexandre Cotorobai |
Main Track: Computational Signal Processing
16:45 | Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis (abstract) PRESENTER: Andreas Miltiadous |
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) PRESENTER: Sergio A. Alvarez |
17:45 | Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database (abstract) PRESENTER: Mohamed Nafea |
Main Track: Deep Learning in Medicine
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 |
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.
Location: NH Eurobuilding Hotel
For full details, please visit: https://2025.cbms-conference.org/gala-dinner/
View this program: with abstractssession overviewtalk overview
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.
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.
Main Track: Biomedical Signal, Image Processing and Machine Vision
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) PRESENTER: Ricardo José Ferrari |
10:40 | Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements (abstract) PRESENTER: Ariel Soares Teles |
11:00 | Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation (abstract) PRESENTER: Kim Seunghui |
Main Track: Vision and Language Models
10:00 | MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines (abstract) PRESENTER: Mohamed Yaseen Jabarulla |
10:20 | Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections (abstract) PRESENTER: Joaquín Gayoso-Cabada |
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) PRESENTER: Fatmaelzahraa Ahmed |
Main Track: Advances in Computed Tomography
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 |
Main Track: Digital Solutions for Health Systems
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) PRESENTER: Franklin Parrales Bravo |
10:55 | Deep Learning Approaches to Assessing University Students’ Health-Related Quality of Life: A Comparative Study of MLP and GNN (abstract) PRESENTER: José Luis Ávila-Jiménez |
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.
Main Track: Biomedical Signal and Medical Image
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) PRESENTER: Ricardo José Ferrari |
13:00 | Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning (abstract) PRESENTER: Cédric Campos Carvalho |
Main Track: Neurofeedback Applications
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 |
Main Track: Eye-Tracking and AI in Clinical Assessment
12:00 | Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies (abstract) PRESENTER: Vinzent Bücheler |
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 |
Main Track: Advanced Technologies and Optimization in Clinical Applications
12:00 | Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway (abstract) PRESENTER: Yasaman Kakaei Siahkal |
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 |
Free Time
Attendees will have a 20 minutes break before the Closing Ceremony starts.
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.
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.