| 2025 | 38th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2025, Madrid, Spain, June 18-20, 2025 Alejandro Rodríguez González, Rosa Sicilia, Lucía Prieto Santamaría, George A. Papadopoulos, Valerio Guarrasi, Mirela Teixeira Cazzolato, Bridget Kane |
| 2025 | 3D Semantic Cell Segmentation via Propagation of 2D Results and Integration of Intercellular Priors. Florian Robert, Alexia Calovoulos, Laurent Facq, Fanny Decoeur, Etienne Gontier, Christophe F. Grosset, Baudouin Denis de Senneville |
| 2025 | A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results From the 5-D Study. Kamilla Haugland, Monica Patrascu, Bettina Sandgathe Husebo, Anne Therese Hatle, Tanja Lukkari, Brice Marty, Valentina Casadei |
| 2025 | A Comparative Analysis of Ai-Based Solutions for Clinical Documentation. Luís Carlos Afonso, João Rafael Almeida, José Luís Oliveira |
| 2025 | A Comparative Analysis of Clustering Methods for Identifying Patient Subgroups in Chronic Kidney Disease Using Feature Engineering. Nichalini Kandasamy, Artie Basukoski, Thierry J. Chaussalet |
| 2025 | A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients. Gloria Campos, Maria Beser-Robles, Jaime Castellá-Malonda, Luis Martí-Bonmatí, Christian Mata, Montserrat Carles |
| 2025 | A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture. Florian Robert, Alexia Calovoulos, Laurent Facq, Fanny Decoeur, Etienne Gontier, Christophe F. Grosset, Baudouin Denis de Senneville |
| 2025 | A Deep Learning-Assisted Hybrid Model for Electric Dosimetry in Electroporation Therapies. Kylian Desier, Luc Lafitte, Laurent Facq, Olivier Sutter, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville |
| 2025 | A Federated Random Forest Solution for Secure Distributed Machine Learning. Alexandre Cotorobai, Jorge Miguel Silva, José Luís Oliveira |
| 2025 | 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, João Paulo Papa |
| 2025 | A Machine Learning Approach for Anxiety and Depression Prediction Using Gad-7 and Phq-9 Questionnaires. Arthur Ricardo de Sousa Vitória, Stephany J. A. Resque, Sérgio C. Júnior, Hugo M. V. Jardim, Rodrigo S. Dias, Iwens Gervásio Sene Júnior, Renato F. Bulcão-Neto |
| 2025 | A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging. Zahraa Alzein, Daniele D. Caviglia |
| 2025 | 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 Lizier, Ricardo José Ferrari |
| 2025 | A Multi-Task Learning Framework for Mortality Prediction in Liver Transplant Candidates. Abdelghani Halimi, Nesma Houmani, Sonia Garcia-Salicetti, Ilias Kounis, Audrey Coilly |
| 2025 | 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, Vincenzo Moscato |
| 2025 | A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population. Paniti Achararit, Pawaree Nonthasaen, Sutheera Kungwanchai, Suthee Treewatanawong |
| 2025 | A Novel F-Net Model for Robust Breast Tumor Segmentation Via Transfer Learning. Khushboo Munir, Ammar Alsheghri, Abdullah F. Al-Battal |
| 2025 | A Platform for the Delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia. Anthony Stell, Adam P. Vogel, Jean Paul Vera Soto, Alejandra Abril Pareja, Richard O. Sinnott |
| 2025 | 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, João Paulo Papa |
| 2025 | A Transformer-Based Anomaly Detection System for OCT Image Embeddings. Eugenia Sol Piñeiro, Ariel Schlaen, Rodrigo Ramele, Juliana Gambini |
| 2025 | A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment. Ciro Russo, Giulio Russo, Arnau Oliver, Xavier Lladó, Mikel Terceño, Yolanda Silva, Alessandro Bria, Claudio Marrocco |
| 2025 | AI-Driven Lung-RADS Classification on CT Reports. Tarcísio Lima Ferreira, Marcelo Costa Oliveira, Thales Vieira |
| 2025 | AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data. Joao Pedro Silva, Erikson Júlio De Aguiar, Gabriel Spadon, Agma J. M. Traina, Jose F. Rodrigues |
| 2025 | AI-Driven Survival Prediction in Pancreatic Cancer. Sergio Rubio-Martín, María Teresa García-Ordás, David Corral Fontecha, Laura López-González, Gonzalo Alonso-Oláiz, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades |
| 2025 | AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition. Lorenzo Pede, Mariangela Martino, Maria Elisa Amodeo, Francesca Silvestri, Sebastiano Battista Romano Viglialoro, Daria Maggi, Dario Tuccinardi, Vincenzo Piemonte, Silvia Manfrini, Riccardo Schiaffini, Paolo Soda, Ermanno Cordelli |
| 2025 | ANT - Advancing Neurofeedback (In Tinnitus). Patrick Neff, Danpeng Cai, Emily Groves, Lara Défayes, Sebastian Baez-Lugo, Adrian Naas, Payam S. Shabestari, Nicolas Henchoz, Andreas Sonderegger, Delphine Ribes, Tobias Kleinjung |
| 2025 | Abbreviation Identification and Disambiguation in Real-World Clinical Narratives. Joao Pedro Joaquim, Isabela Fontes de Araújo, Claudia Moro |
| 2025 | Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation. Iratxe Zunzunegui Sanz, Belén Otero-Carrasco, Alejandro Rodríguez González |
| 2025 | Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach. Christopher A. Flores, Rodrigo Verschae |
| 2025 | Adapting a Segmentation Foundation Model for Medical Image Classification. Pengfei Gu, Haoteng Tang, Islam Akef Ebeid, Jose Angel Nuñez, Fabian Vazquez, Diego Adame, Marcus Zhan, Huimin Li, Bin Fu, Danny Z. Chen |
| 2025 | Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units. Paula Martín-Palomeque, Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques |
| 2025 | Advances on Real Time M/EEG Neural Feature Extraction. Payam S. Shabestari, Delphine Ribes, Lara Défayes, Danpeng Cai, Emily Groves, Harry H. Behjat, Dimitri Van De Ville, Tobias Kleinjung, Adrian Naas, Nicolas Henchoz, Andreas Sonderegger, Patrick Neff |
| 2025 | An Embedding-Based Machine Learning Solution for Medical Concept Mapping. Vicente Barros, Raquel Paradinha, João Rafael Almeida, José Luís Oliveira |
| 2025 | An Embedding-Based Method for Processing Medical Audio into Structured Reports. Luís Carlos Afonso, Carolina Gonçalves, Catarina Sousa, José Luís Oliveira |
| 2025 | An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization. Ikram Kourbane, Panagiotis Papadakis, Mihai Andries |
| 2025 | An Implementation Framework Supporting Privacy by Design in Mobile Health Applications. Raphael Abreu F. De Jesus, Fabrício de Oliveira Ourique, Jim Lau, Roberto Rodrigues Filho, Luciana Bolan Frigo, Alison R. Panisson, Analúcia S. Morales |
| 2025 | Analyze of Sex Differences and Electromyography and Autonomic Nervous System Responses to Micro Current Stimulation. SeungHui Kim, SuLim Kang, Ji Yean Kwon, Sungmin Kim |
| 2025 | Are Pat-Based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings? Ana Cisnal, Diego Paez-Granados, Javier Pérez Turiel, Juan C. Fraile |
| 2025 | Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next. Yuansan Liu, Sudanthi N. R. Wijewickrema, Bridget Copson, Jean-Marc Gerard, Sameer Antani |
| 2025 | Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements. Rayele Moreira, Aline Miranda, Lucas Daniel Batista Lima, Renan Fialho, Maria Beatriz Carvalho, Rafael Sousa, Victor Hugo Bastos, Silmar Teixeira, Ariel Soares Teles |
| 2025 | 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, José Gerardo Tamez-Peña |
| 2025 | Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training 'In the Wild': A Feasibility Study on Home Treatment. Adrian Naas, Andreas Sonderegger, Delphine Ribes Lemay, Payam S. Shabestari, Martin Meyer, Patrick Neff |
| 2025 | Augmented Speech Generalization in Parkinson's Disease Detection. Máté Hires, Peter Drotár |
| 2025 | Automated Coding of French Emergency Calls Using BERT. Samuel Lebot, Joris Muller, Sébastien Harscoat, Delphine Bernhard, Germain Forestier, Cédric Wemmert |
| 2025 | Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction Through Physiological Signals. Jacqueline Hausmann, Jiayi Wang, Marcia Kneusel, Stephanie Prescott, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof |
| 2025 | Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care. Darcy Murphy, Sarah Mackie, David Wong, William G. Dixon, Sabine van der Veer |
| 2025 | 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, Laura Elena Raileanu |
| 2025 | 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, Daniela Giordano |
| 2025 | Automated Regulatory Classification of Mobile Medical Apps. Ernest C. Chianumba, Franklyn Kogolo, Raina Samuel |
| 2025 | Automatic Calibration for CT Bed Stitching Based on Fourier-Mellin. Daniel Sanderson, Daniel Alejandro Rodriguez, Javier García-Blas, Manuel Desco, Mónica Abella |
| 2025 | Automatic Detection of Pleural Plaques Presence in Asbestos-Exposed Individuals. Yannis Petitpas, Ilyes Benlala, Fabien Baldacci, Gaël Dournes, Jean Claude Pairon, Baudouin Denis de Senneville |
| 2025 | 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, Pål Halvorsen |
| 2025 | Automating Tissue Segmentation and Quantification for Wound Healing Assessment. Rafaela Carvalho, Ana Filipa Sampaio, Maria João M. Vasconcelos |
| 2025 | Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes. Sarala Ghimire, Turgay Çelik, Martin Gerdes, Christian W. Omlin |
| 2025 | Belle Quantified Dimensions: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale. Paul Fricker, Susely Figueroa, Clément Lemeunier, Hang Nguyen |
| 2025 | Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database. Eyiara Oladipo, Sarwar Nazrul, Mohamed Nafea |
| 2025 | Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures. Paloma Tejera-Nevado, Nathan Junod, Elizabeth Hyunjin Kwon, Lucía Prieto Santamaría, Alejandro Rodríguez González |
| 2025 | Beyond the Black-Box: Understanding XGBoost to Predict Pediatric Hospital Readmission. Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena |
| 2025 | Bone Fracture Detection via GANs-Based Multi-Modal Fusion Technique. Emilio Paspuel-Montalvo, Khushboo Munir, Abdullah F. Al-Battal |
| 2025 | Bridging Precision and Efficiency: Ai-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology. Rodrigo P. S. Ribeiro, Aldo von Wangenheim, Luís Otávio Santos, Daniel H. Nunes, Bibiana Q. Tiellet, Douglas Dyllon Jeronimo de Macedo, Beatriz Silva Lopes |
| 2025 | CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning. Fatimaelzahraa Ali Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali, Khalid Al-Jalham, Shidin Balakrishnan |
| 2025 | CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images. Adriano Barbosa-Silva, Jose E. B. Apumayta, Thaína A. A. Tosta, Alessandro Santana Martins, Domingos Lucas Latorre de Oliveira, Leandro Alves Neves, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento |
| 2025 | Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging. Elena Mulero Ayllon, Massimiliano Mantegna, Linlin Shen, Paolo Soda, Valerio Guarrasi, Matteo Tortora |
| 2025 | ChestXsim: An Open-Source Framework for Realistic Chest X-Ray Tomosynthesis Simulations. Blanca Hermosilla, Antonio Lorente Mur, Carlos Fernandez del Cerro, Manuel Desco, Mónica Abella |
| 2025 | Circadian Stability via Accelerometer in People with Dementia: A DARK.DEM Proof-of-Concept. Valentina Casadei, Monica Patrascu, Line Iden Berge, Sunniva Vibe Skagen, Kjersti Nadreskar, Kamilla Haugland |
| 2025 | Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach. Hafez Kader, Steven C. Marcrum, Milena Engelke, Niklas K. Edvall, Berthold Langguth, Birgit Mazurek, Jose Antonio Lopez-Escamez, Dimitrios Kikidis, Rilana Cima, Patrick Neff, Winfried Schlee, Christopher R. Cederroth, Benjamin Noack, Myra Spiliopoulou, Stefan Schoisswohl |
| 2025 | 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, Thaína A. A. Tosta |
| 2025 | Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography. Yusdivia Molina-Román, David Gómez-Ortiz, Ernestina Menasalvas Ruiz, José Gerardo Tamez-Peña, Alejandro Santos-Díaz |
| 2025 | Computational Models for Patient Stratification in Urologic Cancers - Creating Robust and Trustworthy Multimodal AI for Health Care. Antonios Billis, Alessa Hering, Lili Jiang, Cora Meyer, Lisa Adams, Renato Cuocolo, Alexander Löser, Jawed Nawabi, Keno K. Bressem |
| 2025 | Ct Sinogram Inpainting for Truncation Artifact Correction and Field-Of-View Extension. Daniel Sanderson, Ana Ramírez, Manuel Desco, Mónica Abella |
| 2025 | Current Situation of Serious Games to Support Ecuadorian Health. Franklin Parrales-Bravo, Wilber Ortiz-Aguilar, Lorenzo J. Cevallos-Torres, Julio Barzola-Monteses, Rosangela Caicedo-Quiroz |
| 2025 | DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing. Alejandro Rodríguez González, Lucía Prieto Santamaría, Belén Otero-Carrasco, Andrea Álvarez Pérez, David Juste Urraca |
| 2025 | Decoding Cell-Type-Specific Alterations in Alzheimer's Disease Through Scrna-Seq and Network Analysis. Andrea Álvarez Pérez, Lucía Prieto Santamaría, Alejandro Rodríguez González |
| 2025 | Deep Learning Approach for Aortic Valve Localization, Detection and Segmentation in Computed Tomography Volumes. Rubén Omar Azuara-Domínguez, Jimena Olveres, Boris Escalante-Ramírez, Enrique Vallejo |
| 2025 | Deep Learning Approaches to Assessing University Students' Health-Related Quality of Life: A Comparative Study of MLP and GNN. José Luis Ávila-Jiménez, Manuel Rich-Ruiz, Francisco J. Rodríguez-Lozano, Vanesa Cantón-Habas, Sebastián Ventura |
| 2025 | Deep Learning-Based Models for Sickle Cell Anemia Characterization in Retinal Fundus Images. L. Carrasco, L. Ramos, Noelia Barreira, Álvaro S. Hervella, Lina H. Raffa |
| 2025 | Deep Transfer Learning for Glucose Prediction Adding Physical Activity Data in Type 1 Diabetes. Carlos Gallardo, Gema García-Sáez, David Subías, Mercedes Rigla, María Elena Hernando |
| 2025 | Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users. Danpeng Cai, Emily Groves, Lara Défayes, Adrian Naas, Nicolas Gninenko, Payam S. Shabestari, Nicolas Henchoz, Tobias Kleinjung, Andreas Sonderegger, Patrick Neff, Delphine Ribes Lemay |
| 2025 | Detection of Active and Latent Tuberculosis with Explainable Deep Learning Ensembles. Lara Visuña, Javier García-Blas, Jesús Carretero |
| 2025 | Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme Diagnosis. Mattia Manna, Simone Boesso, Lorenzo Farina, Manuela Petti |
| 2025 | Differentially Private Non Parametric Copulas: Generating Synthetic Data with Non Parametric Copulas Under Privacy Guarantees. Pablo A. Osorio-Marulanda, John Esteban Castro Ramirez, Mikel Hernández Jiménez, Nicolas Moreno Reyes, Gorka Epelde Unanue |
| 2025 | Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification. Qiao Chen, Hongming Xu, Xinyu Hao, Qibin Zhang, Huamin Qin, Tommi Kärkkäinen, Fengyu Cong |
| 2025 | Driving and Sleep Deprivation: Comparing Interventions Using a Driving Simulator with EEG Analysis. Niki Eleni Ntagka, Emmanouil D. Oikonomou, Konstantinos Sakkas, Vasileios Choutas, Vasileios Aspiotis, Nikolaos Giannakeas, Alexandros T. Tzallas, Andreas Miltiadous |
| 2025 | 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, Sung Min Kim |
| 2025 | Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway. Yasaman Kakaei Siahkal, Néjib Moalla, Aicha Sekhari, Tao Wang, Olivier Grasset |
| 2025 | ECG De-Anonymization: Real-World Risks and a Privacy-by-Design Mitigation Strategy. Hamza Aguelal, Paolo Palmieri |
| 2025 | ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM. Alejandro Rodríguez González, Victor Robles, Juan José Cubillas Mercado, Juan Manuel Martínez Pérez, Jose Luis González Mendez, Ernestina Menasalvas Ruiz |
| 2025 | Enhancing Pulmonary Nodule Localization Based on Latent Representations. Charmi Patel, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu |
| 2025 | Enhancing Radiomic Feature Robustness Through Voxel Spacing-Aware Extraction in Anisotropic CT Data. David Corral Fontecha, Pablo Menéndez Fernández-Miranda, Sergio Rubio-Martín, Alicia Merayo-Corcoba, Laura López-González, Lara Lloret Iglesias, José Antonio Vega |
| 2025 | Enhancing the Description-Detection Framework with Semantic Clustering Using Biostransformers. Safaa Menad, Gabriel H. A. Medeiros, Lina Fatima Soualmia |
| 2025 | 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, José Gerardo Tamez-Peña |
| 2025 | Evaluating Hemodynamic Responses in the Action Observation Network: an fNIRS Study on Motor Task Type and Stimulus Duration. Edgar R. González-Campos, Carlos Alberto Reyes García, Alejandro Antonio Torres-García |
| 2025 | Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules Through the Lens of Network Medicine. Antonio Gil Hoed, Lucía Prieto Santamaría, Alejandro Rodríguez González |
| 2025 | Evaluation of Client Participation on Federated Learning Scenario for Chest X-Ray Imaging. Carlos Fernandez del Cerro, Manuel Desco, Mónica Abella |
| 2025 | Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy. Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul |
| 2025 | Explainable AI and Trust, Design Methodologies to Explore Patients' Perspective. Wen Zhan, Margherita Motta, Sebastian Baez-Lugo, Nicolas Henchoz, Meritxell Bach Cuadra, Delphine Ribes Lemay |
| 2025 | Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. Adrian Duric, Jim Tørresen, Michael A. Riegler, Hugo Lewi Hammer |
| 2025 | Exploring Causal Modeling to Enhance Diabetes Prediction and Management. Patrizia Quaranta, Roberto Pietrantuono |
| 2025 | Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer. Paloma Tejera-Nevado, Belén Otero-Carrasco, Alejandro Rodríguez González |
| 2025 | 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, Panagiotis D. Bamidis |
| 2025 | Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data. Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le |
| 2025 | 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, Johannes Schobel |
| 2025 | FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration. Dominik Tomaszuk, Arslan Smajevic, Tomer Sagi, Katja Hose |
| 2025 | FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging. Êrica Peters do Carmo, Caetano Traina Jr., Agma J. M. Traina |
| 2025 | Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds. Anthony McCofie, Abhiram Kandiyana, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof |
| 2025 | Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes. Sergio Rubio-Martín, Arturo Crespo-Álvaro, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, José Alberto Benítez-Andrades |
| 2025 | Fraud, Waste, and Abuse Detection in Medical Claims Using an Ensemble of Unsupervised Machine Learning Models. Willem A. Janse Van Rensburg, Chantelle Van Staden, Lise Prinsloo |
| 2025 | From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation. Marco Magliocco, Curzio Basso, Alice Fantazzini, Michele Conti, Giuseppe Cittadini, Giovanni Spinella |
| 2025 | Fusion of Vision and Text Features for Breast Cancer Classification Using a Few-Shot Approach. Saptarshi Pani, Gouranga Maity, Irina I. Shpakovskaya, Dmitrii I. Kaplun, Ram Sarkar |
| 2025 | GANs and Fine-Tuning Through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney Diseases. Lucas Schurer, Joaquim V. C. Assunção, Isabel C. Reinheimer, Carlos E. Poli-de-Figueiredo, Luís A. Lima Silva |
| 2025 | Generative Adversarial Networks for Synthetic Longitudinal Electronic Health Records Enabling Cardiovascular Digital Twins. Amanda Bertgren, Fredrik Öhberg, Paolo Soda, Ulf Näslund, Patrik Wennberg, Christer Grönlund |
| 2025 | Generative-Ai Solutions for Connecting Seniors and Healthcare Providers. Emad Deilam Salehi, Yufei Yuan, Kamran Sartipi |
| 2025 | Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding. Zahraa Alzein, Daniele D. Caviglia |
| 2025 | Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED. Qianyu Xie, Michelle Noga, Kumaradevan Punithakumar |
| 2025 | Graph Neural Networks for the Localization of Breathing Abnormalities. Syed Muhammad Hamza Zaidi, Myra Spiliopoulou |
| 2025 | Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features. Katarína Demcáková, Peter Drotár, Máté Hires, Jakub Gazda, Peter Jarcuska |
| 2025 | Harnessing Generative Llms to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts. João Pedro Cavalcanti Azevedo, Adonias Caetano de Oliveira, Francisco Silva, Luciano R. Coutinho, Ariel Soares Teles |
| 2025 | High-Performance Computing-Driven Gene Co-Expression Network Analysis for Biomarkers Discovery in Soft Tissue Sarcomas. Marc Ríos Cadenas, Aurelio López-Fernández, Francisco Antonio Gómez Vela, Juan Antonio Ortega, Inmaculada Rincón Pérez |
| 2025 | 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, Paolo Soda |
| 2025 | ICD Code Assignment from Clinical Text: Impact of Document Composition. Julián Prieto-Velasco, Miguel-Ángel Sicilia, Elena García-Barriocanal |
| 2025 | ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts. Dimitrios Proios, Alban Bornet, Anthony Yazdani, Jose F. Rodrigues, Douglas Teodoro |
| 2025 | Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples. Dimitrios Lezos, Dimitrios Vogiatzis |
| 2025 | Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform. Ana Cisnal, Javier Pérez Turiel, Juan Carlos Fraile Marinero |
| 2025 | Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes. Clara Fuertes, Carlos Gallardo, David Subías, M. Elena Hernando, Mercedes Rigla, Gema García-Sáez |
| 2025 | Improving Diabetic Retinopathy Classification Using Class Imbalance Correction Techniques. Caroline König, Pedro Copado, Enrique Romero, Javier Zarranz-Ventura, Alfredo Vellido |
| 2025 | Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications. Eduardo Sperle Honorato, Mariana Aya Suzuki Uchida, Agma J. M. Traina, Denis F. Wolf |
| 2025 | Incentivising Personalised Colorectal Cancer Screening: an Adversarial Risk Analysis Approach. Daniel Corrales, David Ríos Insua |
| 2025 | Infrared Breast Image Segmentation Using Deep Neural Networks on Thermographic Images. Tiago Da Silva e Souza Pinto, Renata Dos Santos Melo, Paulo Vitor Costa Silva, André Ricardo Backes, Henrique Coelho Fernandes |
| 2025 | Interaction Detection in Images of Therapy Sessions with Children with Autism Spectrum Disorder. Brenda Caroline Santos Mendes, Jônata Tyska Carvalho, Mateus Grellert |
| 2025 | Interactive Method for Publishing Tabular Data with Privacy Preservation. Bruno Roberto S. Moraes, Josenildo C. Silva, Ariel Soares Teles, Antonio Alves Braga Júnior, Francisco J. S. Silva, Luciano R. Coutinho |
| 2025 | Interpretable Machine Learning for Early Detection of Critical Outcomes in the Emergency Department. Waqar A. Sulaiman, Andreas Panayides, Eirini C. Schiza, Efthyvoulos Kyriacou, Antonis C. Kakas, Constantinos S. Pattichis |
| 2025 | Intra-Subject Clustering of ECG Heartbeats from Wearable Devices Using Deep Learning and Feature Engineering. Federico Digiacomo, Gabriella Olmo, Alessandro Gumiero |
| 2025 | Intraoperative Absolute Depth Estimation in MVD Surgery. Jinhee Lee, Hwanhee Lee, Jay J. Park, Ethan Htun, Bruce Changlong Xu, Sang-Hoon Cho, Sanghoon Lee, Vivek P. Buch |
| 2025 | Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation. Gabriel B. Moro, Joaquim V. C. Assunção, Isabel C. Reinheimer, Carlos E. Poli-de-Figueiredo, Luís A. Lima Silva |
| 2025 | 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. Lucia A. Carrasco-Ribelles, Margarita Cabrera-Bean, Albert Prats-Uribe, Sara Khalid, Concepción Violán |
| 2025 | LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation. Jisun Hong, Jihun Lee, Daegil Choi, Jaehyo Jung |
| 2025 | LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives. Jihun Lee, Jisun Hong, Daegil Choi, Jaehyo Jung |
| 2025 | 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, Valerio Guarrasi |
| 2025 | Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype. Yaqeen Ali, Johannes Gregori, Tewele W. Tareke, Alain Lalande, Fabrice Mériaudeau |
| 2025 | Leveraging Natural Language Processing for Mhealth Development: A Component-Based Approach Using Nursing Taxonomies. William Niemiec, Anderson Rocha Tavares, Érika Fernandes Cota |
| 2025 | Lower-Limb Bradykinesia Assessment in Parkinson's Disease From Routine Clinical Videos. Katherine Coutinho, José Lapeña, Mariana H. G. Monje, José C. Martínez, David A. Pérez, Álvaro Sánchez-Ferro, Norberto Malpica |
| 2025 | Lung-CABO: Lung Cancer Concepts Association Biological Ontology. Delia Aminta Moreno-Perdomo, Paloma Tejera-Nevado, Lucía Prieto Santamaría, Guillermo Vigueras, Antonio Jesús Díaz-Honrubia, Alejandro Rodríguez González |
| 2025 | Machine Learning Identification of Genetic Variants Associated with Sub-Optimal Ovarian Response and Hyper-Response. José A. Ortiz, B. Lledó, L. Luque, R. Morales, J. Guerrero, A. Bernabeu |
| 2025 | Machine Learning Prediction of Heart Health Status from Mobile PPG Sensor Data. Sergio A. Alvarez, Corrine Y. Jurgens, Yik Ki Lam, Easton Cummins, Jacqueline C. Massaro, Charounipha Soydara, Christopher S. Lee, Marvin A. Konstam |
| 2025 | Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives. Nicolò Lauciello, Eleonora Giovagnoli, Giovanni Pasini, Fabiano Bini, Franco Marinozzi, Giorgio Russo, Alessandro Stefano |
| 2025 | 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, Theodor Uden |
| 2025 | MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation. Avni Mittal, John Kalkhof, Anirban Mukhopadhyay, Arnav Bhavsar |
| 2025 | 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, Gildardo Sánchez-Ante |
| 2025 | MindMap: ML-Based Mapping of the Progression of Alzheimer's Disease Using Human Expression as a Behavioral Biomarker. Soumik Chemudupati |
| 2025 | Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG. Eduardo Moura, Rafael C. G. Conrado, Leonardo O. Campos, Mauro Marcel Olivatto, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina, Mirela T. Cazzolato |
| 2025 | Multi-Harmonic Visualization for Actigraphy-Measured Circadian Rhythm with Evolutionary Learning in People with Dementia. Kamilla Haugland, Valentina Casadei, Bettina Sandgathe Husebo, Line Iden Berge, Monica Patrascu |
| 2025 | Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance. Axel Alejandro Ramos García, Cuauhtémoc Licona Cassani, Alejandro Santos-Díaz |
| 2025 | Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy. Blanca Rodriguez-Gonzalez, Javier Hernandez-Rubia, Borja Rodríguez-Vila, Angel Torrado-Carvajal, Alejandro Mazal, Juan Antonio Vera-Sanchez, Norberto Malpica |
| 2025 | Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis. Andreas Miltiadous, Konstantinos Sakkas, Emmanouil D. Oikonomou, Aimilia Ntetska, Nikolaos Giannakeas, Alexandros T. Tzallas |
| 2025 | Nuclear Segmentation in Histological Images Using Multiple Attention System Mixing. Gabriel G. Crepaldi, Domingos Lucas Latorre de Oliveira, Thaína A. A. Tosta, Leandro Alves Neves, Adriano Barbosa-Silva, Alessandro Santana Martins, Marcelo Zanchetta do Nascimento |
| 2025 | Online Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition. Tomas Koutny, Martin Ubl |
| 2025 | Parietal Atrophy Analysis in Alzheimer's Disease: Automation via MRI Features and Clustering Methods. Yasmin Victoria Oliveira, Ricardo José Ferrari |
| 2025 | Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models. Sushant Gautam, Michael A. Riegler, Pål Halvorsen |
| 2025 | Predicting Multi-Type Drug-Drug Interactions Using a Disease-Specific Knowledge Graph. Marios Vottas, Fotis Aisopos, Konstantinos Bougiatiotis, Anastasia Krithara |
| 2025 | Predicting Similarities Between Biomedical Ontologies : The UMLs Use-Case. Safaa Menad, Saïd Abdeddaïm, Lina Fatima Soualmia |
| 2025 | Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis. Belén Otero-Carrasco, Lucía Prieto Santamaría, Alejandro Rodríguez González |
| 2025 | 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, Minh-Son To |
| 2025 | 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, Roman Bednarik |
| 2025 | Radgen: A Cross-Modal Fusion System for Automated Radiology Report Generation. Qianhao Han, Daniel Ding, Junyi Liu, Zengchang Qin, Zheng Zheng |
| 2025 | Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation. Vinícius Lima, Filipe Andrade Bernardi, Rui Rijo, Alberto Freitas, Têmis Maria Félix, Ida Schwartz, Adulai Rodrigues, Tomas Sanjuluca, Olímpio Zavale, Luis Madeira, Júlio Souza, Domingos Alves |
| 2025 | Remote Monitoring of Rehabilitation Exercises Through Motion Assessment. Ilaria Basile, Giovanna Sannino |
| 2025 | Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control. Davide Colasanto, Nicola Secciani, Alessandro Bucci, Alberto Topini, Alessandro Ridolfi, Benedetto Allotta |
| 2025 | Self-Supervised Learning of Band-Limited Spectral Features from Sleep EEG Using Variational Autoencoders. Akshit Soota, Isaac Zhao, Carolina Ruiz, Sergio A. Alvarez |
| 2025 | Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence Using Reimbursement Data. Mamoudou Koume, Lorène Seguin, Anne-Déborah Bouhnik, Raquel Ureña |
| 2025 | Supervised Machine Learning and Active Learning for Surrogate Outcome Detection in Clinical Protocols. Onyeka Obuaya, Saturnino Luz, Shane Sheehan, Rod Taylor, Christopher Weir |
| 2025 | Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset. Pedro Sousa, Henrique Sousa, Tânia Pereira, Eva Batista, Pedro Gouveia, Hélder P. Oliveira |
| 2025 | Synthesis of Contrast-Enhanced T1W Images from Multiparametric MRI Through Deep Learning. Jesús Sanchez, Daniel Sanderson, Manuel Desco, Monica Abella Garcia, Juan Adan Guzmán-De-Villoria |
| 2025 | Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach. Rodrigo Martín Gómez Del Moral Herranz, Adrián Barba Beltrán, Miguel Rujas, Beatriz Merino-Barbancho, María Teresa Arredondo, María Fernanda Cabrera-Umpiérrez, Giuseppe Fico |
| 2025 | Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders. Jonah Fernandez, Bianca Innocenti, Beatriz López |
| 2025 | The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification. Sivaramakrishnan Rajaraman, Zhaohui Liang, Niccolò Marini, Zhiyun Xue, Sameer K. Antani |
| 2025 | Topo-VM-UNetV2: Encoding Topology Into Vision Mamba UNet for Polyp Segmentation. Diego Adame, Jose Angel Nuñez, Fabian Vazquez, Nayeli Gurrola, Huimin Li, Haoteng Tang, Bin Fu, Pengfei Gu |
| 2025 | 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 Ribeiro, Aldo von Wangenheim |
| 2025 | Towards Detection of Perfusion Disorders Using Remote Photoplethysmography. Samuel Tauber, Christian Wiede, Karsten Seidl |
| 2025 | Towards Universal Cytopathology Segmentation: Transformer and Cnn Models Across Stains. Luís Otávio Santos, Rodrigo P. S. Ribeiro, Aldo von Wangenheim, Alexandre Sherlley Casimiro Onofre, Fabiana Botelho de Miranda Onofre, Bibiana Q. Tiellet, Beatriz Silva Lopes, Douglas J. D. de Macedo |
| 2025 | Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs. José Andery Carneiro, Breno Guerra Zancan, Camila Tirapelli, Camila Porto Capel, Eliana Dantas Costa, Hugo Gaêta-Araujo, José Augusto Baranauskas, Alessandra Alaniz Macedo |
| 2025 | Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesions in Mammograms. Mariam M. Hassan, Mohamed Ragab, Mohamed Abdel-Nasser, Domenec Puig |
| 2025 | 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, Héctor Gómez, Covadonga del Camino, José R. Villar, Ángel Río-Álvarez, Víctor M. González |
| 2025 | Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections. Félix Buendía García, Joaquín Gayoso-Cabada, José Luis Sierra-Rodríguez |
| 2025 | Using Proactive Computing for Real-Time Feedback in High-Fidelity Medical Simulation. Nazanin Sheykhmohammadi, Denis Zampuniéris, Sandro Reis, Christian Grévisse |
| 2025 | VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare. Samuel Truman, Sebastian von Mammen |
| 2025 | Virtual-Cardio-Drug: Ai-Powered Sbvs for Cardiovascular Drug Discovery. Álvaro Serrano Navarro, Juan Ignacio Alvarez Arenas, Alberto González Calatayud, Jose Antonio Enríquez, Fernando Martínez De Benito, Fátima Sánchez-Cabo |
| 2025 | Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. Valerio Guarrasi, Francesco Di Feola, Rebecca Restivo, Lorenzo Tronchin, Paolo Soda |