Table of Contents

• GANs and Fine-Tuning Through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney DiseasesLucas Schurer, Joaquim V. C. Assunção, Isabel C. Reinheimer, Carlos E. Poli-De-Figueiredo, Luís A. Lima Silva. 1-8 [doi]
• Leveraging Natural Language Processing for Mhealth Development: A Component-Based Approach Using Nursing TaxonomiesWilliam Niemiec, Anderson Rocha Tavares, Érika Fernandes Cota. 1-6 [doi]
• Generative-Ai Solutions for Connecting Seniors and Healthcare ProvidersEmad Deilam Salehi, Yufei Yuan, Kamran Sartipi. 1-6 [doi]
• A Machine Learning Approach for Anxiety and Depression Prediction Using Gad-7 and Phq-9 QuestionnairesArthur R. S. Vitória, Stephany J. A. Resque, Sérgio C. Júnior, Hugo M. V. Jardim, Rodrigo S. Dias, Iwens Gervásio Sene Júnior, Renato F. Bulcão-Neto. 1-6 [doi]
• Deep Learning Approach for Aortic Valve Localization, Detection and Segmentation in Computed Tomography VolumesRubén Omar Azuara-Domínguez, Jimena Olveres, Boris Escalante-Ramírez, Enrique Vallejo 0002. 1-4 [doi]
• Are Pat-Based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings?Ana Cisnal, Diego Paez-Granados, Javier Pérez-Turiel, Juan C. Fraile. 1-6 [doi]
• Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: a Case Study on Motion Monitoring in Older AdultsStyliana Siakopoulou, Antonis Billis, Stavros Vasakos, Apollon Zoiros, Panagiotis D. Bamidis. 1-6 [doi]
• FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical ImagingÊrica Peters Do Carmo, Caetano Traina Jr., Agma J. M. Traina. 1-6 [doi]
• Virtual-Cardio-Drug: Ai-Powered Sbvs for Cardiovascular Drug DiscoveryÁlvaro Serrano Navarro, Juan Ignacio Alvarez Arenas, Alberto González Calatayud, Jose Antonio Enríquez, Fernando Martínez De Benito, Fátima Sánchez-Cabo. 1-4 [doi]
• Fraud, Waste, and Abuse Detection in Medical Claims Using an Ensemble of Unsupervised Machine Learning ModelsWillem A. Janse Van Rensburg, Chantelle Van Staden, Lise Prinsloo. 1-6 [doi]
• Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial ResistanceAxel Alejandro Ramos García, Cuauhtémoc Licona Cassani, Alejandro Santos-Díaz. 1-4 [doi]
• Ct Sinogram Inpainting for Truncation Artifact Correction and Field-Of-View ExtensionDaniel Sanderson, Ana Ramírez, Manuel Desco, Mónica Abella. 1-6 [doi]
• Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort DatasetPedro Sousa, Henrique Sousa, Tânia Pereira 0001, Eva Batista, Pedro Gouveia, Hélder P. Oliveira. 1-6 [doi]
• FHIR Lens: A Graph-Based Approach to Semantic EHR ExplorationDominik Tomaszuk, Arslan Smajevic, Tomer Sagi, Katja Hose. 1-6 [doi]
• Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial IntelligenceAdrian Duric, Jim Tørresen, Michael A. Riegler, Hugo Lewi Hammer. 1-8 [doi]
• Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series ApproachRodrigo Martín Gómez Del Moral Herranz, Adrián Barba Beltrán, Miguel Rujas, Beatriz Merino-Barbancho, María Teresa Arredondo, María Fernanda Cabrera-Umpiérrez, Giuseppe Fico. 9-14 [doi]
• Harnessing Generative Llms to Detect and Explain Suicidal Ideation in Brazilian Portuguese TextsJoão Pedro Cavalcanti Azevedo, Adonias Caetano de Oliveira, Francisco Silva, Luciano R. Coutinho, Ariel Soares Teles. 15-20 [doi]
• Abbreviation Identification and Disambiguation in Real-World Clinical NarrativesJoao Pedro Joaquim, Isabela Fontes de Araújo, Claudia Moro. 21-24 [doi]
• Generative Adversarial Networks for Synthetic Longitudinal Electronic Health Records Enabling Cardiovascular Digital TwinsAmanda Bertgren, Fredrik Öhberg, Paolo Soda, Ulf Näslund, Patrik Wennberg, Christer Grönlund. 25-28 [doi]
• Towards Automated Placental Screening: Instance Segmentation in Clinical ImagesBibiana Quatrin Tiellet da Silva, Beatriz Silva Lopes, Luís Otávio Santos, Rodrigo De Paula e Silva Ribeiro, Aldo von Wangenheim. 29-34 [doi]
• MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion SegmentationAvni Mittal, John Kalkhof, Anirban Mukhopadhyay 0003, Arnav Bhavsar. 35-40 [doi]
• Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case StudyHanna Borgli, Michael A. Riegler, Håkon Kvale Stensland, Pål Halvorsen. 41-48 [doi]
• Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRIPaula Puerta González, Pablo García Marcos, Sara Fernández Arias, Rebeca Oliveira Suárez, Guillermo Lorenzo, Héctor Gómez, Covadonga del Camino, José R. Villar 0001, Ángel Río-Álvarez, Víctor M. González. 49-52 [doi]
• A Novel F-Net Model for Robust Breast Tumor Segmentation Via Transfer LearningKhushboo Munir, Ammar Alsheghri, Abdullah F. Al-Battal. 53-56 [doi]
• Intra-Subject Clustering of ECG Heartbeats from Wearable Devices Using Deep Learning and Feature EngineeringFederico Digiacomo, Gabriella Olmo, Alessandro Gumiero. 57-64 [doi]
• ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient CohortsDimitrios Proios, Alban Bornet, Anthony Yazdani, Jose F. Rodrigues, Douglas Teodoro. 65-70 [doi]
• A Comparative Analysis of Clustering Methods for Identifying Patient Subgroups in Chronic Kidney Disease Using Feature EngineeringNichalini Kandasamy, Artie Basukoski, Thierry J. Chaussalet. 71-76 [doi]
• A Comprehensive Framework for Unsupervised Deep Analysis of Tissue BioarchitectureFlorian Robert, Alexia Calovoulos, Laurent Facq, Fanny Decoeur, Etienne Gontier, Christophe F. Grosset, Baudouin Denis de Senneville. 77-80 [doi]
• Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence Using Reimbursement DataMamoudou Koume, Lorène Seguin, Anne-Déborah Bouhnik, Raquel Ureña. 81-84 [doi]
• A Comparative Analysis of Ai-Based Solutions for Clinical DocumentationLuís Carlos Afonso, João Rafael Almeida, José Luís Oliveira. 85-90 [doi]
• An Embedding-Based Method for Processing Medical Audio into Structured ReportsLuís Carlos Afonso, Carolina Gonçalves, Catarina Sousa, José Luís Oliveira. 91-96 [doi]
• Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical NotesSergio Rubio-Martín, Arturo Crespo-Álvaro, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, José Alberto Benítez-Andrades. 97-102 [doi]
• ICD Code Assignment from Clinical Text: Impact of Document CompositionJulián Prieto-Velasco, Miguel-Ángel Sicilia, Elena García Barriocanal. 103-106 [doi]
• 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 YearsLucia A. Carrasco-Ribelles, Margarita Cabrera-Bean, Albert Prats-Uribe, Sara Khalid, Concepción Violán. 107-110 [doi]
• Radgen: A Cross-Modal Fusion System for Automated Radiology Report GenerationQianhao Han, Daniel Ding, Junyi Liu, Zengchang Qin, Zheng Zheng 0005. 111-112 [doi]
• Infrared Breast Image Segmentation Using Deep Neural Networks on Thermographic ImagesTiago Da Silva e Souza Pinto, Renata Dos Santos Melo, Paulo Vitor Costa Silva, André Ricardo Backes, Henrique Coelho Fernandes. 113-118 [doi]
• Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future PerspectivesNicolò Lauciello, Eleonora Giovagnoli, Giovanni Pasini, Fabiano Bini, Franco Marinozzi, Giorgio Russo, Alessandro Stefano. 119-120 [doi]
• Computational Models for Patient Stratification in Urologic Cancers - Creating Robust and Trustworthy Multimodal AI for Health CareAntonios Billis, Alessa Hering, Lili Jiang, Cora Meyer, Lisa Adams, Renato Cuocolo, Alexander Löser, Jawed Nawabi, Keno K. Bressem. 121-122 [doi]
• ChestXsim: An Open-Source Framework for Realistic Chest X-Ray Tomosynthesis SimulationsBlanca Hermosilla, Antonio Lorente Mur, Carlos F. Del Cerro, Manuel Desco, Mónica Abella. 123-124 [doi]
• An Immersive Annotation Tool for Movement Quality Assessment with 3D VisualizationIkram Kourbane, Panagiotis Papadakis, Mihai Andries. 125-126 [doi]
• Investigating Transformer-Based GANs for Realistic ECG Time-Series Data GenerationGabriel B. Moro, Joaquim V. C. Assunção, Isabel C. Reinheimer, Carlos E. Poli-De-Figueiredo, Luís A. Lima Silva. 133-140 [doi]
• Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast CancerAurora Rofena, Arianna Manchia, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi. 141-146 [doi]
• Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis ValidationIratxe Zunzunegui Sanz, Belén Otero-Carrasco, Alejandro Rodríguez González. 147-153 [doi]
• Nuclear Segmentation in Histological Images Using Multiple Attention System MixingGabriel G. Crepaldi, Domingos Lucas Latorre de Oliveira, Thaína A. A. Tosta, Leandro Alves Neves, Adriano Barbosa-Silva, Alessandro Santana Martins, Marcelo Zanchetta do Nascimento. 154-159 [doi]
• Automating Tissue Segmentation and Quantification for Wound Healing AssessmentRafaela Carvalho, Ana Filipa Sampaio, Maria João M. Vasconcelos. 160-166 [doi]
• Adapting a Segmentation Foundation Model for Medical Image ClassificationPengfei Gu, Haoteng Tang, Islam Akef Ebeid, Jose Angel Nuñez, Fabian Vazquez, Diego Adame, Marcus Zhan, Huimin Li, Bin Fu, Danny Z. Chen. 167-172 [doi]
• From Aneurysms to Dissections: A Transfer Learning Approach for CTA SegmentationMarco Magliocco, Curzio Basso, Alice Fantazzini, Michele Conti, Giuseppe Cittadini, Giovanni Spinella. 173-176 [doi]
• Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRAJae Eun Ko, Jin Young Sung, Junghoon Lee, Daehwan Ko, Ji Yean Kwon, Sung Min Kim. 177-180 [doi]
• Evaluating Hemodynamic Responses in the Action Observation Network: an fNIRS Study on Motor Task Type and Stimulus DurationEdgar R. González-Campos, Carlos Alberto Reyes García, Alejandro Antonio Torres García. 187-192 [doi]
• Interactive Method for Publishing Tabular Data with Privacy PreservationBruno Roberto S. Moraes, Josenildo C. Silva, Ariel Soares Teles, Antonio Alves Braga Júnior, Francisco J. S. Silva, Luciano R. Coutinho. 193-199 [doi]
• Automatic Detection of Pleural Plaques Presence in Asbestos-Exposed IndividualsYannis Petitpas, Ilyes Benlala, Fabien Baldacci, Gaël Dournes, Jean Claude Pairon, Baudouin Denis de Senneville. 200-203 [doi]
• Bridging Precision and Efficiency: Ai-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in TeledermatologyRodrigo P. S. Ribeiro, Aldo von Wangenheim, Luís O. Santos, Daniel H. Nunes, Bibiana Q. Tiellet, Douglas Dyllon Jeronimo Macedo, Beatriz S. Lopes. 204-207 [doi]
• Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions ApproachChristopher A. Flores, Rodrigo Verschae. 208-213 [doi]
• A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong BaselineGabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Pedro Henrique Crespan Ribeiro, Ana Lara Alves Garcia, João Paulo Papa. 214-219 [doi]
• Automated Coding of French Emergency Calls Using BERTSamuel Lebot, Joris Muller, Sébastien Harscoat, Delphine Bernhard, Germain Forestier, Cédric Wemmert. 220-225 [doi]
• Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity FeaturesKatarína Demcáková, Peter Drotár, Máté Hires, Jakub Gazda, Peter Jarcuska. 226-233 [doi]
• High-Performance Computing-Driven Gene Co-Expression Network Analysis for Biomarkers Discovery in Soft Tissue SarcomasMarc Ríos Cadenas, Aurelio López-Fernández, Francisco Antonio Gómez Vela, Juan A. Ortega, Inmaculada Rincón Pérez. 234-239 [doi]
• Decoding Cell-Type-Specific Alterations in Alzheimer's Disease Through Scrna-Seq and Network AnalysisAndrea Álvarez Pérez, Lucía Prieto Santamaría, Alejandro Rodríguez González. 240-245 [doi]
• Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity AnalysisBelén Otero-Carrasco, Lucía Prieto Santamaría, Alejandro Rodríguez González. 246-251 [doi]
• Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein StructuresPaloma Tejera-Nevado, Nathan Junod, Elizabeth Hyunjin Kwon, Lucía Prieto Santamaría, Alejandro Rodríguez González. 252-257 [doi]
• Topo-VM-UNetV2: Encoding Topology Into Vision Mamba UNet for Polyp SegmentationDiego Adame, Jose Angel Nuñez, Fabian Vazquez, Nayeli Gurrola, Huimin Li, Haoteng Tang, Bin Fu, Pengfei Gu. 258-263 [doi]
• Improving U-Net with Attention Mechanism for Medical Image Segmentation ApplicationsEduardo Sperle Honorato, Mariana Aya Suzuki Uchida, Agma J. M. Traina, Denis F. Wolf. 264-269 [doi]
• Transformative Deep Learning Modular Segmentation for Dental Panoramic RadiographsJosé Andery Carneiro, Breno Guerra Zancan, Camila Tirapelli, Camila Porto Capel, Eliana Dantas Costa, Hugo Gaêta-Araujo, José Augusto Baranauskas, Alessandra Alaniz Macedo. 270-275 [doi]
• 3D Semantic Cell Segmentation via Propagation of 2D Results and Integration of Intercellular PriorsFlorian Robert, Alexia Calovoulos, Laurent Facq, Fanny Decoeur, Etienne Gontier, Christophe F. Grosset, Baudouin Denis de Senneville. 276-279 [doi]
• AI-Driven Survival Prediction in Pancreatic CancerSergio Rubio-Martín, María Teresa García-Ordás, David Corral Fontecha, Laura López-González, Gonzalo Alonso-Oláiz, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades. 284-289 [doi]
• A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with QuanvolutionsYasmin Rodrigues Sobrinho, Enzo Gabriel Batista Soares, João Renato Ribeiro Manesco, Jawaher Al-Tuweity, Rafael Gonçalves Pires, João Paulo Papa. 290-296 [doi]
• Fusion of Vision and Text Features for Breast Cancer Classification Using a Few-Shot ApproachSaptarshi Pani, Gouranga Maity, Irina Shpakovskaya, Dmitrii Kaplun, Ram Sarkar. 297-302 [doi]
• Ensemble of Radiomics and Convnext for Breast Cancer DiagnosisJorge Alberto Garza Abdala, Gerardo Alejandro Fumagal-González, Beatriz Alejandra Bosques Palomo, Mario Alexis Monsivais Molina, Daly Avedano, Servando Cardona-Huerta, José Gerardo Tamez-Peña. 303-306 [doi]
• Incentivising Personalised Colorectal Cancer Screening: an Adversarial Risk Analysis ApproachDaniel Corrales, David Ríos Insua. 307-310 [doi]
• Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 DiabetesClara Fuertes, Carlos Gallardo, David Subias, M. Elena Hernando, Mercedes Rigla, Gema García-Sáez. 311-316 [doi]
• Deep Transfer Learning for Glucose Prediction Adding Physical Activity Data in Type 1 DiabetesCarlos Gallardo, Gema García-Sáez, David Subías, Mercedes Rigla, María Elena Hernando. 317-322 [doi]
• Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 DiabetesSarala Ghimire, Turgay Çelik, Martin Gerdes, Christian W. Omlin. 323-328 [doi]
• Online Simulation of a Diabetic-Patient Metabolism and a Realistic Meal CompositionTomas Koutny, Martin Ubl. 329-334 [doi]
• Driving and Sleep Deprivation: Comparing Interventions Using a Driving Simulator with EEG AnalysisNiki Eleni Ntagka, Emmanouil D. Oikonomou, Konstantinos Sakkas, Vasileios Choutas, Vasileios Aspiotis, Nikolaos Giannakeas, Alexandros T. Tzallas, Andreas Miltiadous. 335-336 [doi]
• Advances on Real Time M/EEG Neural Feature ExtractionPayam 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. 337-338 [doi]
• Belle Quantified Dimensions: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration ScalePaul Fricker, Susely Figueroa, Clément Lemeunier, Hang Nguyen. 339-340 [doi]
• Intraoperative Absolute Depth Estimation in MVD SurgeryJinhee Lee, Hwanhee Lee, Jay J. Park, Ethan Htun, Bruce Changlong Xu, Sang-Hoon Cho, Sanghoon Lee, Vivek P. Buch. 341-342 [doi]
• Towards Universal Cytopathology Segmentation: Transformer and Cnn Models Across StainsLuís O. Santos, Rodrigo P. S. Ribeiro, Aldo von Wangenheim, Alexandre Sherlley Casimiro Onofre, Fabiana Botelho de Miranda Onofre, Bibiana Q. Tiellet, Beatriz S. Lopes, Douglas J. D. Macedo. 343-344 [doi]
• Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme DiagnosisMattia Manna, Simone Boesso, Lorenzo Farina, Manuela Petti. 345-350 [doi]
• Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in CancerPaloma Tejera-Nevado, Belén Otero-Carrasco, Alejandro Rodríguez González. 351-356 [doi]
• Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules Through the Lens of Network MedicineAntonio Gil Hoed, Lucía Prieto Santamaría, Alejandro Rodríguez González. 357-362 [doi]
• Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton TherapyBlanca Rodriguez-Gonzalez, Javier Hernandez-Rubia, Borja Rodríguez-Vila, Angel Torrado-Carvajal, Alejandro Mazal, Juan Antonio Vera-Sanchez, Norberto Malpica. 363-368 [doi]
• CNN Ensembles for Nuclei Instance Segmentation in OED Histological ImagesAdriano 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. 369-374 [doi]
• Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT ImagingElena Mulero Ayllon, Massimiliano Mantegna, LinLin Shen, Paolo Soda, Valerio Guarrasi, Matteo Tortora. 375-380 [doi]
• Automated Regulatory Classification of Mobile Medical AppsErnest C. Chianumba, Franklyn Kogolo, Raina Samuel. 387-392 [doi]
• Machine Learning Prediction of Heart Health Status from Mobile PPG Sensor DataSergio A. Alvarez, Corrine Y. Jurgens, Yik Ki Lam, Easton Cummins, Jacqueline C. Massaro, Charounipha Soydara, Christopher S. Lee, Marvin A. Konstam. 393-398 [doi]
• LTD-Conformer: Speech Depression Detection with Speaking and Listening PerspectivesJihun Lee, Jisun Hong, Daegil Choi, Jaehyo Jung. 399-404 [doi]
• A Platform for the Delivery of Speech Treatment for Dysarthria in Multisystemic AtaxiaAnthony Stell, Adam P. Vogel, Jean Paul Vera Soto, Alejandra Abril Pareja, Richard O. Sinnott. 405-410 [doi]
• Augmented Speech Generalization in Parkinson's Disease DetectionMáté Hires, Peter Drotár. 411-414 [doi]
• Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language ModelsSushant Gautam, Michael A. Riegler, Pål Halvorsen. 415-422 [doi]
• LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity EstimationJisun Hong, Jihun Lee, Daegil Choi, Jaehyo Jung. 423-428 [doi]
• A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in HealthcareGiuseppe Riccio, Antonio Romano, Mariano Barone, Gian Marco Orlando, Diego Russo, Marco Postiglione, Valerio La Gatta, Vincenzo Moscato. 435-440 [doi]
• Differentially Private Non Parametric Copulas: Generating Synthetic Data with Non Parametric Copulas Under Privacy GuaranteesPablo A. Osorio-Marulanda, John Esteban Castro Ramirez, Mikel Hernández Jiménez, Nicolas Moreno Reyes, Gorka Epelde Unanue. 441-448 [doi]
• ECG De-Anonymization: Real-World Risks and a Privacy-by-Design Mitigation StrategyHamza Aguelal, Paolo Palmieri 0001. 449-456 [doi]
• An Implementation Framework Supporting Privacy by Design in Mobile Health ApplicationsRaphael Abreu F. De Jesus, Fabrício de Oliveira Ourique, Jim Lau, Roberto Rodrigues Filho, Luciana B. Frigo, Alison R. Panisson, Analucia S. Morales. 457-462 [doi]
• VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for HealthcareSamuel Truman, Sebastian von Mammen. 463-468 [doi]
• Lower-Limb Bradykinesia Assessment in Parkinson's Disease From Routine Clinical VideosKatherine Coutinho, José Lapeña, Mariana H. G. Monje, José C. Martínez, David A. Pérez, Álvaro Sánchez-Ferro, Norberto Malpica. 469-474 [doi]
• Using Proactive Computing for Real-Time Feedback in High-Fidelity Medical SimulationNazanin Sheykhmohammadi, Denis Zampuniéris, Sandro Reis, Christian Grévisse. 475-479 [doi]
• Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality PlatformAna Cisnal, Javier Pérez-Turiel, Juan Carlos Fraile Marinero. 480-483 [doi]
• A Multi-Task Learning Framework for Mortality Prediction in Liver Transplant CandidatesAbdelghani Halimi, Nesma Houmani, Sonia Garcia-Salicetti, Ilias Kounis, Audrey Coilly. 484-489 [doi]
• Enhancing Radiomic Feature Robustness Through Voxel Spacing-Aware Extraction in Anisotropic CT DataDavid Corral Fontecha, Pablo Menéndez Fernández-Miranda, Sergio Rubio-Martín, Alicia Merayo Corcoba, Laura López-González, Lara Lloret Iglesias, José Antonio Vega. 490-495 [doi]
• A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai PopulationPaniti Achararit, Pawaree Nonthasaen, Sutheera Kungwanchai, Suthee Treewatanawong. 496-499 [doi]
• Assessing a Proposed Dynamic Ratio in Dataset Class Imbalance with GAN's Generated Melanoma ImagesGerardo Alejandro Fumagal-González, Jorge Alberto Garza Abdala, Alma Alhelí Pedro Pérez, José Gerardo Tamez-Peña. 500-503 [doi]
• DRIVE: A Data-Driven Platform for Disease Visualization and Drug RepurposingAlejandro Rodríguez González, Lucía Prieto Santamaría, Belén Otero-Carrasco, Andrea Álvarez Pérez, David Juste Urraca. 504-505 [doi]
• MindMap: ML-Based Mapping of the Progression of Alzheimer's Disease Using Human Expression as a Behavioral BiomarkerSoumik Chemudupati. 506-507 [doi]
• Machine Learning Identification of Genetic Variants Associated with Sub-Optimal Ovarian Response and Hyper-ResponseJosé A. Ortiz, B. Lledó, L. Luque, R. Morales, J. Guerrero, A. Bernabeu. 508-509 [doi]
• Supervised Machine Learning and Active Learning for Surrogate Outcome Detection in Clinical ProtocolsOnyeka Obuaya, Saturnino Luz, Shane Sheehan, Rod Taylor, Christopher Weir. 510-511 [doi]
• Explainable AI and Trust, Design Methodologies to Explore Patients' PerspectiveWen Zhan, Margherita Motta, Sebastian Baez-Lugo, Nicolas Henchoz, Meritxell Bach Cuadra, Delphine Ribes Lemay. 512-513 [doi]
• Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record DataMiwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le. 514-515 [doi]
• Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular ClassificationQiao Chen, Hongming Xu 0002, Xinyu Hao, Qibin Zhang, Huamin Qin, Tommi Kärkkäinen, Fengyu Cong. 516-521 [doi]
• Bone Fracture Detection via GANs-Based Multi-Modal Fusion TechniqueEmilio Paspuel-Montalvo, Khushboo Munir, Abdullah F. Al-Battal. 522-527 [doi]
• Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital TwinValerio Guarrasi, Francesco Di Feola, Rebecca Restivo, Lorenzo Tronchin, Paolo Soda. 528-534 [doi]
• A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult PatientsGloria Campos, Maria Beser-Robles, Jaime Castellá-Malonda, Luis Martí-Bonmatí, Christian Mata, Montserrat Carles. 535-540 [doi]
• Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care UnitsPaula Martín-Palomeque, Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques. 541-548 [doi]
• Identification of Novel Drug-Drug Interactions as Out-of-Distribution SamplesDimitrios Lezos, Dimitrios Vogiatzis. 549-554 [doi]
• Microbial Signatures of Addiction: a Computational Analysis of GUT Microbiota in Substance Use DisordersJuan Esparza-Sanchez, Marco A. Parra Vilchis, Diego A. Garibi Miranda, Maricruz Sepulveda-Villegas, Angélica Lizeth Sánchez-López, Gildardo Sánchez-Ante. 563-566 [doi]
• Remote Monitoring of Rehabilitation Exercises Through Motion AssessmentIlaria Basile, Giovanna Sannino. 567-572 [doi]
• Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance ControlDavide Colasanto, Nicola Secciani, Alessandro Bucci, Alberto Topini, Alessandro Ridolfi, Benedetto Allotta. 579-584 [doi]
• Interaction Detection in Images of Therapy Sessions with Children with Autism Spectrum DisorderBrenda Caroline Santos Mendes, Jônata Tyska Carvalho, Mateus Grellert. 585-590 [doi]
• Detection of Active and Latent Tuberculosis with Explainable Deep Learning EnsemblesLara Visuña, Javier García Blas, Jesus Carretero 0001. 599-604 [doi]
• Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning ApproachHafez 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. 605-611 [doi]
• Interpretable Machine Learning for Early Detection of Critical Outcomes in the Emergency DepartmentWaqar A. Sulaiman, Andreas Panayides, Eirini C. Schiza, Efthyvoulos Kyriacou, Antonis C. Kakas, Constantinos S. Pattichis. 612-615 [doi]
• Color Normalization by Dictionary Learning with Nuclear Segmentation Evaluation in H&E Histological ImagesAndré Fernando Quaresma da Silva, André Dias Freitas, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Thaína A. A. Tosta. 616-622 [doi]
• ProjectedEx: Enhancing Generation in Explainable AI for Prostate CancerXuyin Qi, Zeyu Zhang 0006, 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. 623-629 [doi]
• Graph Neural Networks for the Localization of Breathing AbnormalitiesSyed Muhammad Hamza Zaidi, Myra Spiliopoulou. 630-635 [doi]
• Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening MammographyYusdivia Molina-Román, David Gómez-Ortiz, Ernestina Menasalvas Ruiz, José Gerardo Tamez-Peña, Alejandro Santos-Díaz. 636-641 [doi]
• Predicting Similarities Between Biomedical Ontologies : The UMLs Use-CaseSafaa Menad, Saïd Abdeddaïm, Lina Fatima Soualmia. 648-653 [doi]
• Enhancing the Description-Detection Framework with Semantic Clustering Using BiostransformersSafaa Menad, Gabriel H. A. Medeiros, Lina Fatima Soualmia. 654-659 [doi]
• Lung-CABO: Lung Cancer Concepts Association Biological OntologyDelia Aminta Moreno-Perdomo, Paloma Tejera-Nevado, Lucía Prieto Santamaría, Guillermo Vigueras, Antonio Jesús Díaz-Honrubia, Alejandro Rodríguez González. 660-663 [doi]
• An Embedding-Based Machine Learning Solution for Medical Concept MappingVicente Barros, Raquel Paradinha, João Rafael Almeida, José Luís Oliveira. 664-667 [doi]
• The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia ClassificationSivaramakrishnan Rajaraman, Zhaohui Liang, Niccolò Marini, Zhiyun Xue, Sameer K. Antani. 668-673 [doi]
• Evaluation of Client Participation on Federated Learning Scenario for Chest X-Ray ImagingCarlos F. Del Cerro, Manuel Desco, Mónica Abella. 674-679 [doi]
• Enhancing Pulmonary Nodule Localization Based on Latent RepresentationsCharmi Patel, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu. 680-685 [doi]
• Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS CohortFrancesco Di Feola, Marida De Maria, Göran Bergström, Anders Blomberg, Åse Johnsson, Pierangelo Veltri, Paolo Soda. 686-692 [doi]
• Improving Diabetic Retinopathy Classification Using Class Imbalance Correction TechniquesCaroline König, Pedro Copado, Enrique Romero, Javier Zarranz-Ventura, Alfredo Vellido. 693-698 [doi]
• Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in UreteroscopyCarlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul. 699-704 [doi]
• Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesions in MammogramsMariam M. Hassan, Mohamed Ragab 0002, Mohamed Abdel-Nasser, Domenec Puig. 705-710 [doi]
• Beyond the Black-Box: Understanding XGBoost to Predict Pediatric Hospital ReadmissionNayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena. 711-716 [doi]
• Towards Detection of Perfusion Disorders Using Remote PhotoplethysmographySamuel Tauber, Christian Wiede, Karsten Seidl. 717-718 [doi]
• Circadian Stability via Accelerometer in People with Dementia: A DARK.DEM Proof-of-ConceptValentina Casadei, Monica Patrascu, Line Iden Berge, Sunniva Vibe Skagen, Kjersti Nadreskar, Kamilla Haugland. 719-720 [doi]
• Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary CareDarcy Murphy, Sarah Mackie, David Wong 0001, William G. Dixon, Sabine van der Veer. 721-722 [doi]
• A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results From the 5-D StudyKamilla Haugland, Monica Patrascu, Bettina Sandgathe Husebo, Anne Therese Hatle, Tanja Lukkari, Brice Marty, Valentina Casadei. 723-724 [doi]
• Exploring Causal Modeling to Enhance Diabetes Prediction and ManagementPatrizia Quaranta, Roberto Pietrantuono. 725-726 [doi]
• ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDMAlejandro Rodríguez González, Victor Robles, Juan José Cubillas Mercado, Juan Manuel Martínez Pérez, Jose Luis González Mendez, Ernestina Menasalvas Ruiz. 727-731 [doi]
• AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site RecognitionLorenzo 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. 738-743 [doi]
• 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. 744-746 [doi]
• Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International CooperationVinícius Lima 0001, Filipe Andrade Bernardi, Rui Rijo, Alberto Freitas, Têmis Maria Félix, Ida Schwartz, Adulai Rodrigues, Tomas Sanjuluca, Olímpio Zavale, Luis Madeira, Júlio Souza, Domingos Alves. 747-750 [doi]
• Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKGEduardo Moura, Rafael Conrado, Leonardo O. Campos, Mauro Marcel Olivatto, Marco Antonio Gutierrez 0001, Caetano Traina, Agma J. M. Traina, Mirela T. Cazzolato. 751-756 [doi]
• Predicting Multi-Type Drug-Drug Interactions Using a Disease-Specific Knowledge GraphMarios Vottas, Fotis Aisopos, Konstantinos Bougiatiotis, Anastasia Krithara. 757-762 [doi]
• A Federated Random Forest Solution for Secure Distributed Machine LearningAlexandre Cotorobai, Jorge Miguel Silva, José Luís Oliveira. 769-774 [doi]
• Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia DiagnosisAndreas Miltiadous, Konstantinos Sakkas, Emmanouil D. Oikonomou, Aimilia Ntetska, Nikolaos Giannakeas, Alexandros T. Tzallas. 775-780 [doi]
• Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological DisordersJonah Fernandez, Bianca Innocenti, Beatriz López 0001. 781-786 [doi]
• Self-Supervised Learning of Band-Limited Spectral Features from Sleep EEG Using Variational AutoencodersAkshit Soota, Isaac Zhao, Carolina Ruiz, Sergio A. Alvarez. 787-794 [doi]
• Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV DatabaseEyiara Oladipo, Sarwar Nazrul, Mohamed Nafea. 795-800 [doi]
• Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction Through Physiological SignalsJacqueline Hausmann, Jiayi Wang, Marcia Kneusel, Stephanie Prescott, Peter R. Mouton, Yu Sun 0004, Dmitry B. Goldgof. 801-806 [doi]
• Deep Learning-Based Models for Sickle Cell Anemia Characterization in Retinal Fundus ImagesL. Carrasco, L. Ramos, Noelia Barreira, Álvaro S. Hervella, Lina H. Raffa. 807-812 [doi]
• A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume AssessmentCiro Russo, Giulio Russo, Arnau Oliver, Xavier Lladó, Mikel Terceño, Yolanda Silva, Alessandro Bria, Claudio Marrocco. 813-818 [doi]
• A Deep Learning-Assisted Hybrid Model for Electric Dosimetry in Electroporation TherapiesKylian Desier, Luc Lafitte, Laurent Facq, Olivier Sutter, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville. 819-822 [doi]
• Multi-Harmonic Visualization for Actigraphy-Measured Circadian Rhythm with Evolutionary Learning in People with DementiaKamilla Haugland, Valentina Casadei, Bettina Sandgathe Husebo, Line Iden Berge, Monica Patrascu. 823-828 [doi]
• A Multi-Region Framework for Alzheimer's Disease Classification Based on Displacement Vector Field Statistics and Jacobian DeterminantsLeandro Prado de Andrade, Mario Augusto de Souza Lizier, Ricardo José Ferrari. 829-834 [doi]
• Assessing Human Pose Estimation Models for Clinically Relevant Body Segment MeasurementsRayele Moreira, Aline Miranda, Lucas Daniel Batista Lima, Renan Fialho, Maria Beatriz Carvalho, Rafael Sousa, Victor Hugo Bastos, Silmar Teixeira, Ariel Soares Teles. 835-840 [doi]
• Analyze of Sex Differences and Electromyography and Autonomic Nervous System Responses to Micro Current StimulationSeungHui Kim, SuLim Kang, JiYean Kwon, Sungmin Kim. 841-844 [doi]
• MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical GuidelinesMohamed Yaseen Jabarulla, Steffen Oeltze-Jafra, Philipp Beerbaum, Theodor Uden. 845-850 [doi]
• Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital CollectionsFélix Buendía García, Joaquín Gayoso-Cabada, José Luis Sierra-Rodríguez. 851-856 [doi]
• Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry SoundsAnthony McCofie, Abhiram Kandiyana, Peter R. Mouton, Yu Sun 0004, Dmitry B. Goldgof. 857-862 [doi]
• CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement LearningFatimaelzahraa Ali Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali, Khalid Al-Jalham, Shidin Balakrishnan. 863-868 [doi]
• Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLEDQianyu Xie, Michelle Noga, Kumaradevan Punithakumar. 869-876 [doi]
• AI-Driven Lung-RADS Classification on CT ReportsTarcísio Lima Ferreira, Marcelo Costa Oliveira, Thales Vieira. 877-884 [doi]
• Automatic Calibration for CT Bed Stitching Based on Fourier-MellinDaniel Sanderson, Daniel Alejandro Rodriguez, Javier García Blas, Manuel Desco, Mónica Abella. 891-895 [doi]
• AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic DataJoao Pedro Silva, Erikson Júlio De Aguiar, Gabriel Spadon, Agma J. M. Traina, Jose F. Rodrigues. 896-901 [doi]
• Current Situation of Serious Games to Support Ecuadorian HealthFranklin Parrales Bravo, Wilber Ortiz-Aguilar, Lorenzo J. Cevallos-Torres, Julio Barzola-Monteses, Rosangela Caicedo-Quiroz. 908-911 [doi]
• Deep Learning Approaches to Assessing University Students' Health-Related Quality of Life: A Comparative Study of MLP and GNNJosé Luis Ávila-Jiménez, Manuel Rich-Ruiz, Francisco J. Rodríguez-Lozano, Vanesa Cantón-Habas, Sebastián Ventura. 912-915 [doi]
• Synthesis of Contrast-Enhanced T1W Images from Multiparametric MRI Through Deep LearningJesús Sanchez, Daniel Sanderson, Manuel Desco, Monica Abella Garcia, Juan Adan Guzmán-De-Villoria. 916-921 [doi]
• Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer SubtypeYaqeen Ali, Johannes Gregori, Tewele W. Tareke, Alain Lalande, Fabrice Mériaudeau. 922-928 [doi]
• Parietal Atrophy Analysis in Alzheimer's Disease: Automation via MRI Features and Clustering MethodsYasmin Victoria Oliveira, Ricardo José Ferrari. 929-935 [doi]
• Automated Identification of Eye Motion in Raw MRI Data Using Machine LearningElena Najdenovska, Cédric Campos Carvalho, Jaime Barranco Hernandez, Yiwei Jia, Mauro Leidi, Benedetta Franceschiello, Laura Elena Raileanu. 936-940 [doi]
• Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and UsersDanpeng Cai, Emily Groves, Lara Défayes, Adrian Naas, Nicolas Gninenko, Payam S. Shabestari, Nicolas Henchoz, Tobias Kleinjung, Andreas Sonderegger, Patrick Neff, Delphine Ribes Lemay. 941-944 [doi]
• Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training 'In the Wild': A Feasibility Study on Home TreatmentAdrian Naas, Andreas Sonderegger, Delphine Ribes Lemay, Payam S. Shabestari, Martin Meyer 0001, Patrick Neff. 945-950 [doi]
• Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking StudiesVinzent Bücheler, Daniel Hieber, Maximilian Karthan, Nicola Jungbäck, Moritz Dinser, Christofer Pohl, Rüdiger Pryss, Friederike Liesche-Starnecker, Johannes Schobel. 951-956 [doi]
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• Automated MoCA Score Estimation Using Eye-Gaze Data and Vision TransformersRaffaele 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. 963-968 [doi]
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• Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care PathwayYasaman Kakaei Siahkal, Néjib Moalla, Aicha Sekhari, Tao Wang 0022, Olivier Grasset. 973-976 [doi]
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• Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave CompoundingZahraa Alzein, Daniele D. Caviglia. 983-986 [doi]
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