Assessing a proposed dynamic ratio in dataset class imbalance with GAN’s generated melanoma images

Gerardo Alejandro Fumagal-González, Jorge Alberto Garza-Abdala, Alma Alhelí Pedro Pérez and José Gerardo Tamez-Peña

An embedding-based method for processing medical audio into structured reports

Luis Carlos Afonso, Carolina Gonçalves, Catarina Sousa and José Luis Oliveira

A comparative analysis of AI-based solutions for clinical documentation

Luis Carlos Afonso, João Rafael Almeida and José Luís Oliveira

A Machine Learning Aproach for Anxiety and Depresion Prediction Using GAD-7 and PHQ-9 Questionnaires

Arthur Ricardo Sousa Vitoria, Stephany Jorge Araújo Resque, Sérgio Caetano Junior, Hugo Moreno Veiga Jardim, Rodrigo Silva Dias, Iwens Gervasio Sene Junior and Renato de Freitas Bulcão Neto

Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models

Sushant Gautam, Michael A. Riegler and Pål Halvorsen

Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database

Eyiara Oladipo, Sarwar Nazrul and Mohamed Nafea

Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin

Francesco Di Feola, Valerio Guarrasi, Rebecca Restivo, Lorenzo Tronchin and Paolo Soda

Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS cohort

Francesco Di Feola, Marida De Maria, Göran Bergström, Anders Blomberg, Åse Johnsson, Pierangelo Veltri and Paolo Soda

Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy

Blanca Rodriguez-Gonzalez, Javier Hernandez-Rubia, Borja Rodriguez-Vila, Angel Torrado-Carvajal, Alejandro Mazal, Juan Antonio Vera-Sanchez and Norberto Malpica

Incentivising Personalised Colorectal Cancer Screening: An Adversarial Risk Analysis Approach

Daniel Corrales Alonso and David Rios Insua

Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples

Dimitrios Lezos and Dimitrios Vogiatzis

A Federated Random Forest Solution for Secure Distributed Machine Learning

Alexandre Cotorobai, Jorge Miguel Silva and José Luis Oliveira

Generative-AI Solutions for Connecting Seniors and Healthcare Providers

Emad Deilam Salehi, Yufei Yuan and Kamran Sartipi

Adapting a Segmentation Foundation Model for Medical Image Classification

Pengfei Gu, Haoteng Tang, Islam A. Ebeid, Jose A. Nunez, Fabian Vazquez, Diego Adame, Marcus Zhan, Huimin Li, Bin Fu and Danny Z. Chen

Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI

Paula Puerta González, Pablo García Marcos, Sara Fernández Arias, Rebeca Oliveira Suárez, Guillermo Lorenzo, Hector Gomez, Covadonga Camino, José Ramón Villar, Angel Rio-Alvarez and Víctor M. González

A Comparative Analysis of Clustering Methods for Identifying Patient Subgroups in Chronic Kidney Disease Using Feature Engineering

Nichalini Kandasamy, Artie Basukoski and Thierry Chaussalet

Are PAT-based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?

Ana Cisnal, Diego Páez-Granados, Javier Pérez-Turiel and Juan Carlos Fraile

Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification

Qiao Chen, Hongming Xu, Xinyu Hao, Qibin Zhang, Huamin Qin, Tommi Kärkkäinen and Fengyu Cong

Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform

Ana Cisnal, Javier Pérez-Turiel and Juan Carlos Fraile-Marinero

Intra-Subject Clustering of ECG Heartbeats from Wearable Devices using Deep Learning and Feature Engineering

Federico Digiacomo, Gabriella Olmo and Alessandro Gumiero

ICD code assignment from clinical text: impact of document composition

Julián Prieto Velasco, Miguel Ángel Sicilia Urbán and Elena García-Barriocanal

Automated Regulatory Classification of Mobile Medical Apps

Ernest Chianumba, Franklyn Kogolo and Raina Samuel

VIRTUAL-CARDIO-DRUG: AI-powered SBVS for Cardiovascular Drug Discovery

Álvaro Serrano Navarro, Juan Ignacio Alvarez Arenas, Alberto González Calatayud, José Antonio Enríquez, Fernando Martínez de Benito and Fátima Sanchez Cabo

A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline

Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Pedro Henrique Crespan Ribeiro, Ana Lara Alves Garcia and João Paulo Papa

Enhancing the Description-Detection Framework with Semantic Clustering using BioSTransformers

Gabriel Medeiros, Safaa Menad and Lina F. Soualmia

Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study

Hanna Borgli, Michael A. Riegler, Håkon Kvale Stensland and Pål Halvorsen

Ensemble of radiomics and ConvNeXt for breast cancer diagnosis

Jorge Alberto Garza-Abdala, Gerardo Alejandro Fumagal-González, Beatriz Alejandra Bosques-Palomo, Mario Alexis Monsivais Molina, Daly Avedano, Servando Cardona-Huerta and José Gerardo Tamez-Pena

Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway

Yasaman Kakaei Siahkal, Nejib Moalla, Aïcha Sekhari, Tao Wang and Olivier Grasset

Towards Automated Placental Screening: Instance Segmentation in Clinical Images

Bibiana Quatrin Tiellet da Silva, Beatriz Silva Lopes, Luís Otávio Santos, Rodrigo de Paula E Silva and Aldo von Wangenheim

Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA

Jae Eun Ko, Jin Young Sung, Junghoon Lee, Daehwan Ko, Ji Yean Kwon and Sung Min Kim

ANT - Advancing Neurofeedback (in Tinnitus)

Patrick Neff, Danpeng Cai, Emily Groves, Lara Défayes, Sebastian Baez-Lugo, Adrian Naas, Payam S. Sadeghi Shabestari, Nicolas Henchoz, Andreas Sonderegger, Delphine Ribes Lemay and Tobias Kleinjung

LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives

Jihun Lee, Jisun Hong, Daegil Choi and Jaehyo Jung

Graph Neural Networks For The Localization Of Breathing Abnormalities

Syed Muhammad Hamza Zaidi and Myra Spiliopoulou

Fraud, Waste, and Abuse Detection in Medical Claims using an Ensemble of Unsupervised Machine Learning Models

Willem Janse van Rensburg, Chantelle van Staden and Lise Prinsloo

Parietal Atrophy Analysis in Alzheimer’s Disease: Automation via MRI Features and Clustering Methods

Yasmin Victoria Oliveira and Ricardo José Ferrari

A multi-region framework for Alzheimer’s disease classification based on displacement vector field statistics and Jacobian determinants

Leandro Prado de Andrade, Mario Augusto de Souza Liziér and Ricardo José Ferrari

AI-Driven Public Health Surveillance: analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data

João Pedro da Silva, Erikson Júlio de Aguiar, Gabriel Spadon, Agma J. M. Traina and Jose Fernando Rodrigues-Jr

Lung-CABO: Lung Cancer Concepts Association Biological Ontology

Delia Aminta Moreno Perdomo, Paloma Tejera Nevado, Lucía Prieto Santamaría, Guillermo Vigueras, Antonio Jesús Díaz Honrubia and Alejandro Rodríguez-González

Bridging Precision and Efficiency: AI-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology

Rodrigo de Paula E Silva Ribeiro, Aldo von Wangenheim, Luís Otávio Santos, Bibiana Quatrin Tiellet, Daniel Holthausen Nunes, Douglas Dylon de Macedo and Beatriz Silva Lopes

Synthesis of Contrast-Enhanced T1W images from multiparametric MRI through Deep Learning

Jesús Sánchez Cornago, Daniel Sanderson, Manuel Desco, Mónica Abella and Juan Guzman de Villoria

An Implementation Framework Supporting Privacy by Design in Mobile Health Applications

Raphael Abreu Farias de Jesus, Jim Lau, Fabricio de Oliveira Ourique, Roberto Rodrigues-Filho, Luciana Bolan Frigo, Alison R. Panisson and Analúcia Morales

AI-Driven Survival Prediction in Pancreatic Cancer

Sergio Rubio-Martín, Maria Teresa García-Ordás, David Corral-Fontecha, Laura López-González, Gonzalo Alonso-Oláiz, Arturo Crespo-Álvaro and José Alberto Benítez-Andrades

Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies

Vinzent Bücheler, Daniel Hieber, Maximilian Karthan, Nicola Jungbäck, Moritz Dinser, Christofer Pohl, Rüdiger Pryss, Friederike Liesche-Starnecker and Johannes Schobel

Efficient Mammogram Classification with Mixup and Contrastive Loss for Robust Feature Learning

Mariam Hassan, Mohamed Ragab, Mohamed Abdel-Nasser and Domenec Puig

Automated Coding of Emergency Medical Call Records: A BERT-based Approach for French Data

Samuel Lebot, Joris Muller, Sébastien Harscoat, Delphine Bernhard, Germain Forestier and Cédric Wemmert

Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections

Félix Buendía-García, Joaquín Gayoso-Cabada and José-Luis Sierra-Rodríguez

Augmented Speech Generalization in Parkinson’s disease detection

Máté Hireš and Peter Drotár

LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation

Jisun Hong, Jihun Lee, Daegil Choi and Jaehyo Jung

Deep learning approach for aortic valve localization, detection and segmentation in Computed Tomography volumes

Rubén Omar Azuara-Dominguez, Jimena Olveres, Boris Escalante-Ramírez and Enrique Vallejo

Fusion of Vision and Text Features for Breast Cancer Classification using a Few-Shot Approach

Saptarshi Pani, Gouranga Maity, Irina Shpakovskaya, Dmitrii Kaplun and Ram Sarkar

A Platform for the delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia

Anthony Stell, Jean Paul Vera Soto, Alejandra Abril Pareja and Richard Sinnott

Evaluating Hemodynamic Responses in the Action Observation Network: An fNIRS Study on Motor Task Type and Stimulus Duration

Edgar Rodrigo González Campos, Carlos Alberto Reyes García and Alejandro Antonio Torres García

FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging

Êrica P. Do Carmo, Caetano Traina-Jr and Agma J. M. Traina

Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications

Eduardo Honorato, Mariana Aya Suzuki Uchida, Agma Traina and Denis Wolf

A Multi-Task Learning Framework For Mortality Prediction in Liver Transplant Candidates

Abdelghani Halimi, Nesma Houmani, Sonia Garcia-Salicetti, Ilias Kounis and Audrey Coilly

High-Performance Computing-Driven Gene Co-Expression Network Analysis for biomarkers discovery in Soft Tissue Sarcomas

Marc Rios Cardenas, Aurelio López-Fernández, Francisco A. Gómez-Vela, Juan Antonio Ortega and Inmaculada Rincón Pérez

Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units

Paula Martín-Palomeque, Óscar Escudero-Arnanz, Cristina Soguero-Ruiz and Antonio G. Marques

Leveraging Natural Language Processing for mHealth Development: A Component-Based Approach Using Nursing Taxonomies

William Niemiec, Anderson Rocha Tavares and Érika Fernandes Cota

Deep Transfer Learning for glucose prediction adding physical activity data in type 1 diabetes

Carlos Gallardo García, Gema García-Sáez, David Subías, Mercedes Rigla and María Elena Hernando

VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare

Samuel Truman and Sebastian von Mammen

Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy

Carlos Salazar-Ruiz, Francisco Lopez-Tiro, Ivan Reyes-Amezcua, Clement Larose, Gilberto Ochoa-Ruiz and Christian Daul

Automatic detection of pleural plaques presence in asbestos-exposed individuals

Yannis Petitpas, Ilyes Ben Lala, Fabien Baldacci, Gaël Dournes, Jean Claude Pairon and Baudouin Denis de Senneville

Interaction detection in images of therapy sessions with children with Autism Spectrum Disorder

Brenda Caroline Santos Mendes, Jônata Tyska Carvalho and Mateus Grellert

Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme diagnosis

Mattia Manna, Simone Boesso, Lorenzo Farina and Manuela Petti

FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration

Dominik Tomaszuk, Arslan Smajevic, Tomer Sagi and Katja Hose

Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer

Aurora Rofena, Arianna Manchia, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda and Valerio Guarrasi

Interpretable Machine Learning for Early Detection of Critical Patients in ED

Waqar Aziz Sulaiman, Andreas Panayides, Eirini Schiza, Efthyvoulos Kyriacou, Antonis Kakas and Constantinos Pattichis

Automating Tissue Segmentation and Quantification for Wound Healing Assessment

Rafaela Carvalho, Ana Filipa Sampaio and Maria João M. Vasconcelos

A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions

Yasmin Rodrigues Sobrinho, Enzo Gabriel Batista Soares, João Renato Ribeiro Manesco, Jawaher Al-Tuweity, Rafael Gonçalves Pires and João Paulo Papa

Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers

Raffaele Mineo, Isaak Kavasidis, Federica Proietto Salanitri, Lisa Passarello, Giovanni Piccininno, Vincenzo Masciale, Alessandro Anselmo, Cristiano Convertino, Domenico Rotondi, Nicola Laurieri, Simone Palazzo, Concetto Spampinato, Manuela Pennisi and Daniela Giordano

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

Lucía Amalia Carrasco-Ribelles, Margarita Cabrera-Bean, Albert Prats-Uribe, Sara Khalid and Concepción Violán

Automatic calibration for CT bed stitching based on Fourier-Mellin

Daniel Sanderson, Daniel Alejandro Rodriguez Lopez, Javier Garcia Blas, Manuel Desco and Monica Abella

CT Sinogram inpainting for truncation artifact correction and Field-of-view extension

Daniel Sanderson, Ana Ramirez, Manuel Desco and Mónica Abella

Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders

Jonah Fernandez, Bianca Innocenti and Beatriz Lopez

Decoding cell-type-specific alterations in Alzheimer's disease through scRNA-seq and network analysis

Andrea Álvarez-Pérez, Lucía Prieto Santamaría and Alejandro Rodriguez-González

A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare

Giuseppe Riccio, Antonio Romano, Mariano Barone, Gian Marco Orlando, Diego Russo, Marco Postiglione, Valerio La Gatta and Vincenzo Moscato

Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: A Case Study on Motion Monitoring in Older Adults

Styliana Siakopoulou, Antonis Billis, Stavros Vasakos, Apollon Zoiros and Panagiotis D. Bamidis

Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging

Elena Mulero Ayllón, Massimiliano Mantegna, Linlin Shen, Paolo Soda, Valerio Guarrasi and Matteo Tortora

Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training ‘in the wild’: A Feasibility Study on Home Treatment

Adrian Naas, Andreas Sonderegger, Delphine Ribes Lemay, Payam Sadeghi Shabestari, Martin Meyer and Patrick Neff

Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning

Elena Najdenovska, Cédric Campos Carvalho, Jaime Barranco Hernandez, Yiwei Jia, Mauro Leidi, Benedetta Franceschiello and Laura Elena Raileanu

Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control

Davide Colasanto, Nicola Secciani, Alessandro Bucci, Alberto Topini, Alessandro Ridolfi and Benedetto Allotta

A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population

Paniti Achararit, Pawaree Nonthasaen, Sutheera Kungwanchai and Suthee Treewatanawong

On-line Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition

Tomas Koutny and Martin Úbl

Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype

Yaqeen Ali, Johannes Gregori, Tewele Weletnsea Tareke, Alain Lalande and Fabrice Meriaudeau

A Transformer-Based Anomaly Detection System for OCT Image Embeddings

Eugenia Piñeiro, Ariel Schlaen, Rodrigo Ramele and Juliana Gambini

Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction through Physiological Signals

Jacqueline Hausmann, Jiayi Wang, Stephanie Prescott, Peter Mouton, Yu Sun and Dmitry Goldgof

Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds

Anthony McCofie, Abhiram Kandiyana, Peter Mouton, Yu Sun and Dmitry Goldgof

CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images

Adriano Barbosa Silva, José Esteban Apumayta Apumayta, Thaína Tosta, Alessandro Santana Martins, Domingos Lucas Latorre de Oliveira, Leandro Neves, Paulo R. de Faria and Marcelo Zanchetta do Nascimento

Nuclear segmentation in histological images using multiple attention system mixing

Gabriel Crepaldi, Marcelo Zanchetta Do Nascimento, Thaína Aparecida Azevedo Tosta, Domingos Lucas Latorre de Oliveira, Leandro Alves Neves, Adriano Barbosa Silva and Alessandro Santana Martins

Color normalization by dictionary learning with nuclear segmentation evaluation in H&E histological images

André Fernando Quaresma da Silva, André Dias Freitas, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento and Thaína Aparecida Azevedo Tosta

Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence

Adrian Duric, Jim Torresen, Michael A. Riegler and Hugo Lewi Hammer

MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines

Mohamed Yaseen Jabarulla, Steffen Oeltze-Jafra, Philipp Beerbaum and Theodor Uden

Microbial Signatures of Addiction: A Computational Analysis of Gut Microbiota in Substance Use Disorders

Juan Esparza Sanchez, Marco A. Parra Vilchis, Diego A. Garibi Miranda, Maricruz Sepulveda-Villegas, Angélica Lizeth Sánchez-López and Gildardo Sanchez-Ante

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

Xuyin Qi, Zeyu Zhang, Aaron Berliano Handoko, Huazhan Zheng, Mingxi Chen, Ta Duc Huy, Vu Minh Hieu Phan, Lei Zhang, Linqi Cheng, Shiyu Jiang, Zhiwei Zhang, Zhibin Liao, Yang Zhao and Minh-Son To

Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees

Pablo A. Osorio-Marulanda, John Esteban Castro Ramirez, Mikel Hernandez, Nicolas Moreno Reyes and Gorka Epelde Unanue

Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification

Sami Andberg, Hasnain Ali Shah, Sanna Hannonen, Virve Kärkkäinen, Kai Kaarniranta, Anne M. Koivisto and Roman Bednarik

Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next

Yuansan Liu, Sudanthi Wijewickrema, Bridget Copson, Jean-Marc Gerard and Sameer Antani

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts

Dimitrios Proios, Alban Bornet, Anthony Yazdani, Jose Fernando Rodrigues Jr and Douglas Teodoro

Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset

Pedro Sousa, Henrique Sousa, Tania Pereira, Eva Batista, Pedro F. Gouveia and Hélder P. Oliveira

Beyond the black-box: understanding XGBoost to predict pediatric hospital readmission

Nayara da Silva, Marcelo Albertini, André R Backes and Geórgia Pena

Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes

Sergio Rubio-Martín, Maria Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, Arturo Crespo-Álvaro and José Alberto Benítez-Andrades

Using Proactive Computing for Real-time Feedback in High-fidelity Medical Simulation

Nazanin Sheykhmohammadi, Denis Zampunieris, Sandro Reis and Christian Grévisse

Analyze of gender differences and Electromyographic and autonomic nervous system responses to Micro current stimulation

Kim Seunghui, Kang Sulim, Kwon Jiyean and Kim Sungmin