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ORCID38th CBMS 2025: Madrid, Spain
- Alejandro Rodríguez González, Rosa Sicilia, Lucía Prieto Santamaría, George A. Papadopoulos, Valerio Guarrasi, Mirela Teixeira Cazzolato, Bridget Kane:
38th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2025, Madrid, Spain, June 18-20, 2025. IEEE 2025, ISBN 979-8-3315-2610-8 - Adrian Duric
, Jim Tørresen, Michael A. Riegler, Hugo Lewi Hammer:
Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. 1-8 - Axel Alejandro Ramos García, Cuauhtémoc Licona Cassani, Alejandro Santos-Díaz:
Multi-Scale Genomic Signatures and Machine Learning for Enhanced Prediction of Antimicrobial Resistance. 1-4 - Arthur 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:
A Machine Learning Approach for Anxiety and Depression Prediction Using Gad-7 and Phq-9 Questionnaires. 1-6 - Daniel Sanderson, Ana Ramírez, Manuel Desco, Mónica Abella:
Ct Sinogram Inpainting for Truncation Artifact Correction and Field-Of-View Extension. 1-6 - William Niemiec, Anderson Rocha Tavares, Érika Fernandes Cota:
Leveraging Natural Language Processing for Mhealth Development: A Component-Based Approach Using Nursing Taxonomies. 1-6 - Êrica Peters do Carmo, Caetano Traina Jr., Agma J. M. Traina:
FairMed-FL: Federated Learning for Fair and Unbiased Deep Learning in Medical Imaging. 1-6 - Styliana Siakopoulou, Antonis Billis, Stavros Vasakos, Apollon Zoiros, Panagiotis D. Bamidis:
Exploring the Ecological Validity of Living Labs Through Real-World Experimentation: a Case Study on Motion Monitoring in Older Adults. 1-6 - Lucas Schurer, Joaquim V. C. Assunção, Isabel C. Reinheimer, Carlos E. Poli-de-Figueiredo, Luís A. Lima Silva:
GANs and Fine-Tuning Through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney Diseases. 1-8 - Dominik Tomaszuk, Arslan Smajevic, Tomer Sagi, Katja Hose:
FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration. 1-6 - Álvaro Serrano Navarro, Juan Ignacio Alvarez Arenas, Alberto González Calatayud, Jose Antonio Enríquez, Fernando Martínez De Benito, Fátima Sánchez-Cabo:
Virtual-Cardio-Drug: Ai-Powered Sbvs for Cardiovascular Drug Discovery. 1-4 - Rubén Omar Azuara-Domínguez, Jimena Olveres, Boris Escalante-Ramírez, Enrique Vallejo:
Deep Learning Approach for Aortic Valve Localization, Detection and Segmentation in Computed Tomography Volumes. 1-4 - Emad Deilam Salehi, Yufei Yuan, Kamran Sartipi:
Generative-Ai Solutions for Connecting Seniors and Healthcare Providers. 1-6 - Willem A. Janse Van Rensburg, Chantelle Van Staden, Lise Prinsloo:
Fraud, Waste, and Abuse Detection in Medical Claims Using an Ensemble of Unsupervised Machine Learning Models. 1-6 - Pedro Sousa, Henrique Sousa, Tânia Pereira, Eva Batista, Pedro Gouveia, Hélder P. Oliveira:
Swin Transformer Applied to Breast MRI Super-Resolution in a Cross-Cohort Dataset. 1-6 - Ana Cisnal, Diego Paez-Granados, Javier Pérez Turiel, Juan C. Fraile:
Are Pat-Based Models Suitable for Continuous Blood Pressure Monitoring in Ambulatory Settings? 1-6 - Rodrigo Martín Gómez Del Moral Herranz, Adrián Barba Beltrán, Miguel Rujas, Beatriz Merino-Barbancho, María Teresa Arredondo, María Fernanda Cabrera-Umpiérrez, Giuseppe Fico:
Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach. 9-14 - João Pedro Cavalcanti Azevedo, Adonias Caetano de Oliveira, Francisco Silva, Luciano R. Coutinho, Ariel Soares Teles:
Harnessing Generative Llms to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts. 15-20 - Joao Pedro Joaquim, Isabela Fontes de Araújo, Claudia Moro:
Abbreviation Identification and Disambiguation in Real-World Clinical Narratives. 21-24 - Amanda Bertgren, Fredrik Öhberg, Paolo Soda, Ulf Näslund, Patrik Wennberg, Christer Grönlund:
Generative Adversarial Networks for Synthetic Longitudinal Electronic Health Records Enabling Cardiovascular Digital Twins. 25-28 - Bibiana Quatrin Tiellet da Silva, Beatriz Silva Lopes, Luís Otávio Santos, Rodrigo De Paula e Silva Ribeiro, Aldo von Wangenheim:
Towards Automated Placental Screening: Instance Segmentation in Clinical Images. 29-34 - Avni Mittal, John Kalkhof, Anirban Mukhopadhyay, Arnav Bhavsar:
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation. 35-40 - Hanna Borgli, Michael A. Riegler, Håkon Kvale Stensland, Pål Halvorsen:
Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study. 41-48 - 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:
Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI. 49-52 - Khushboo Munir, Ammar Alsheghri, Abdullah F. Al-Battal:
A Novel F-Net Model for Robust Breast Tumor Segmentation Via Transfer Learning. 53-56 - Federico Digiacomo, Gabriella Olmo, Alessandro Gumiero:
Intra-Subject Clustering of ECG Heartbeats from Wearable Devices Using Deep Learning and Feature Engineering. 57-64 - Dimitrios Proios, Alban Bornet, Anthony Yazdani, Jose F. Rodrigues, Douglas Teodoro:
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts. 65-70 - Nichalini Kandasamy, Artie Basukoski, Thierry J. Chaussalet:
A Comparative Analysis of Clustering Methods for Identifying Patient Subgroups in Chronic Kidney Disease Using Feature Engineering. 71-76 - Florian Robert, Alexia Calovoulos, Laurent Facq, Fanny Decoeur, Etienne Gontier, Christophe F. Grosset, Baudouin Denis de Senneville:
A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture. 77-80 - Mamoudou Koume, Lorène Seguin, Anne-Déborah Bouhnik, Raquel Ureña:
Semi-Supervised Frameworks for Predicting Fear of Cancer Recurrence Using Reimbursement Data. 81-84 - Luís Carlos Afonso, João Rafael Almeida, José Luís Oliveira:
A Comparative Analysis of Ai-Based Solutions for Clinical Documentation. 85-90 - Luís Carlos Afonso, Carolina Gonçalves, Catarina Sousa, José Luís Oliveira:
An Embedding-Based Method for Processing Medical Audio into Structured Reports. 91-96 - Sergio Rubio-Martín, Arturo Crespo-Álvaro, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, José Alberto Benítez-Andrades:
Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes. 97-102 - Julián Prieto-Velasco, Miguel-Ángel Sicilia, Elena García-Barriocanal:
ICD Code Assignment from Clinical Text: Impact of Document Composition. 103-106 - Lucia A. Carrasco-Ribelles, Margarita Cabrera-Bean, Albert Prats-Uribe, Sara Khalid, Concepción Violán:
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. 107-110 - Qianhao Han, Daniel Ding, Junyi Liu, Zengchang Qin, Zheng Zheng:
Radgen: A Cross-Modal Fusion System for Automated Radiology Report Generation. 111-112 - Tiago Da Silva e Souza Pinto, Renata Dos Santos Melo, Paulo Vitor Costa Silva, André Ricardo Backes, Henrique Coelho Fernandes:
Infrared Breast Image Segmentation Using Deep Neural Networks on Thermographic Images. 113-118 - Nicolò Lauciello, Eleonora Giovagnoli, Giovanni Pasini, Fabiano Bini, Franco Marinozzi, Giorgio Russo, Alessandro Stefano:
Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives. 119-120 - Antonios Billis, Alessa Hering, Lili Jiang, Cora Meyer, Lisa Adams, Renato Cuocolo, Alexander Löser, Jawed Nawabi, Keno K. Bressem:
Computational Models for Patient Stratification in Urologic Cancers - Creating Robust and Trustworthy Multimodal AI for Health Care. 121-122 - Blanca Hermosilla, Antonio Lorente Mur, Carlos F. Del Cerro, Manuel Desco, Mónica Abella:
ChestXsim: An Open-Source Framework for Realistic Chest X-Ray Tomosynthesis Simulations. 123-124 - Ikram Kourbane, Panagiotis Papadakis, Mihai Andries:
An Immersive Annotation Tool for Movement Quality Assessment with 3D Visualization. 125-126 - Gabriel B. Moro, Joaquim V. C. Assunção, Isabel C. Reinheimer, Carlos E. Poli-de-Figueiredo, Luís A. Lima Silva:
Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation. 133-140 - Aurora Rofena, Arianna Manchia, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi:
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer. 141-146 - Iratxe Zunzunegui Sanz, Belén Otero-Carrasco, Alejandro Rodríguez González:
Accelerating Drug Repurposing with AI: The Role of Large Language Models in Hypothesis Validation. 147-153 - 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:
Nuclear Segmentation in Histological Images Using Multiple Attention System Mixing. 154-159 - Rafaela Carvalho, Ana Filipa Sampaio, Maria João M. Vasconcelos:
Automating Tissue Segmentation and Quantification for Wound Healing Assessment. 160-166 - Pengfei Gu, Haoteng Tang, Islam Akef Ebeid, Jose Angel Nuñez, Fabian Vazquez, Diego Adame, Marcus Zhan, Huimin Li, Bin Fu, Danny Z. Chen:
Adapting a Segmentation Foundation Model for Medical Image Classification. 167-172 - Marco Magliocco, Curzio Basso, Alice Fantazzini, Michele Conti, Giuseppe Cittadini, Giovanni Spinella:
From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation. 173-176 - Jae Eun Ko, Jin Young Sung, Junghoon Lee, Daehwan Ko, Ji Yean Kwon, Sung Min Kim:
Dual-Encoder UNet with Graph-Derived Features for Automated Cerebrovascular Segmentation in TOF-MRA. 177-180 - Edgar R. González-Campos, Carlos Alberto Reyes García, Alejandro Antonio Torres García:
Evaluating Hemodynamic Responses in the Action Observation Network: an fNIRS Study on Motor Task Type and Stimulus Duration. 187-192 - Bruno Roberto S. Moraes, Josenildo C. Silva, Ariel Soares Teles, Antonio Alves Braga Júnior, Francisco J. S. Silva, Luciano R. Coutinho:
Interactive Method for Publishing Tabular Data with Privacy Preservation. 193-199 - Yannis Petitpas, Ilyes Benlala, Fabien Baldacci, Gaël Dournes, Jean Claude Pairon, Baudouin Denis de Senneville:
Automatic Detection of Pleural Plaques Presence in Asbestos-Exposed Individuals. 200-203 - Rodrigo P. S. Ribeiro, Aldo von Wangenheim, Luís Otávio Santos, Daniel H. Nunes, Bibiana Q. Tiellet, Douglas Dyllon Jeronimo Macedo, Beatriz Silva Lopes:
Bridging Precision and Efficiency: Ai-Driven Segmentation and Orientation Correction for Enhanced Protocol Adherence in Teledermatology. 204-207 - Christopher A. Flores, Rodrigo Verschae:
Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach. 208-213 - Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Pedro Henrique Crespan Ribeiro, Ana Lara Alves Garcia, João Paulo Papa:
A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline. 214-219 - Samuel Lebot, Joris Muller, Sébastien Harscoat, Delphine Bernhard, Germain Forestier, Cédric Wemmert:
Automated Coding of French Emergency Calls Using BERT. 220-225 - Katarína Demcáková, Peter Drotár, Máté Hires, Jakub Gazda, Peter Jarcuska:
Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features. 226-233 - Marc Ríos Cadenas, Aurelio López-Fernández, Francisco Antonio Gómez Vela, Juan A. Ortega, Inmaculada Rincón Pérez:
High-Performance Computing-Driven Gene Co-Expression Network Analysis for Biomarkers Discovery in Soft Tissue Sarcomas. 234-239 - Andrea Álvarez Pérez, Lucía Prieto Santamaría, Alejandro Rodríguez González:
Decoding Cell-Type-Specific Alterations in Alzheimer's Disease Through Scrna-Seq and Network Analysis. 240-245 - Belén Otero-Carrasco, Lucía Prieto Santamaría, Alejandro Rodríguez González:
Prioritization of Potential Drugs Through Pathway-Based Drug Repurposing and Network Proximity Analysis. 246-251 - Paloma Tejera-Nevado, Nathan Junod, Elizabeth Hyunjin Kwon, Lucía Prieto Santamaría, Alejandro Rodríguez González:
Benchmarking Docking Tools on Experimental and Artificial Intelligence-Predicted Protein Structures. 252-257 - Diego Adame, Jose Angel Nuñez, Fabian Vazquez, Nayeli Gurrola, Huimin Li, Haoteng Tang, Bin Fu, Pengfei Gu:
Topo-VM-UNetV2: Encoding Topology Into Vision Mamba UNet for Polyp Segmentation. 258-263 - Eduardo Sperle Honorato, Mariana Aya Suzuki Uchida, Agma J. M. Traina, Denis F. Wolf:
Improving U-Net with Attention Mechanism for Medical Image Segmentation Applications. 264-269 - José Andery Carneiro, Breno Guerra Zancan, Camila Tirapelli, Camila Porto Capel, Eliana Dantas Costa, Hugo Gaêta-Araujo, José Augusto Baranauskas, Alessandra Alaniz Macedo:
Transformative Deep Learning Modular Segmentation for Dental Panoramic Radiographs. 270-275 - Florian Robert, Alexia Calovoulos, Laurent Facq, Fanny Decoeur, Etienne Gontier, Christophe F. Grosset, Baudouin Denis de Senneville:
3D Semantic Cell Segmentation via Propagation of 2D Results and Integration of Intercellular Priors. 276-279 - Sergio Rubio-Martín, María Teresa García-Ordás, David Corral Fontecha, Laura López-González, Gonzalo Alonso-Oláiz, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades:
AI-Driven Survival Prediction in Pancreatic Cancer. 284-289 - Yasmin Rodrigues Sobrinho, Enzo Gabriel Batista Soares, João Renato Ribeiro Manesco, Jawaher Al-Tuweity, Rafael Gonçalves Pires, João Paulo Papa:
A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions. 290-296 - Saptarshi Pani, Gouranga Maity, Irina Shpakovskaya, Dmitrii I. Kaplun, Ram Sarkar:
Fusion of Vision and Text Features for Breast Cancer Classification Using a Few-Shot Approach. 297-302 - 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:
Ensemble of Radiomics and Convnext for Breast Cancer Diagnosis. 303-306 - Daniel Corrales, David Ríos Insua:
Incentivising Personalised Colorectal Cancer Screening: an Adversarial Risk Analysis Approach. 307-310 - Clara Fuertes, Carlos Gallardo, David Subías, M. Elena Hernando, Mercedes Rigla, Gema García-Sáez:
Implementation of a Federated Learning Platform for Glucose Prediction in Type 1 Diabetes. 311-316 - Carlos Gallardo, Gema García-Sáez, David Subías, Mercedes Rigla, María Elena Hernando:
Deep Transfer Learning for Glucose Prediction Adding Physical Activity Data in Type 1 Diabetes. 317-322 - Sarala Ghimire, Turgay Çelik, Martin Gerdes, Christian W. Omlin:
Bayesian Neural Network for Uncertainty-Aware Blood Glucose Prediction for Type 1 Diabetes. 323-328 - Tomas Koutny, Martin Ubl:
Online Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition. 329-334 - Niki Eleni Ntagka, Emmanouil D. Oikonomou, Konstantinos Sakkas, Vasileios Choutas, Vasileios Aspiotis, Nikolaos Giannakeas, Alexandros T. Tzallas, Andreas Miltiadous:
Driving and Sleep Deprivation: Comparing Interventions Using a Driving Simulator with EEG Analysis. 335-336 - 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:
Advances on Real Time M/EEG Neural Feature Extraction. 337-338 - Paul Fricker, Susely Figueroa, Clément Lemeunier, Hang Nguyen:
Belle Quantified Dimensions: Precise and Automatic Quantification of Skin Lesion from Dermoscope Calibration Scale. 339-340 - Jinhee Lee, Hwanhee Lee, Jay J. Park, Ethan Htun, Bruce Changlong Xu, Sang-Hoon Cho, Sanghoon Lee, Vivek P. Buch:
Intraoperative Absolute Depth Estimation in MVD Surgery. 341-342 - 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. Macedo:
Towards Universal Cytopathology Segmentation: Transformer and Cnn Models Across Stains. 343-344 - Mattia Manna, Simone Boesso, Lorenzo Farina, Manuela Petti:
Differential Co-Expression Networks of Tumor Educated Platelets Transcriptome for Glioblastoma Multiforme Diagnosis. 345-350 - Paloma Tejera-Nevado, Belén Otero-Carrasco, Alejandro Rodríguez González:
Exploring Protein Patterns, Cavity Interactions, and Therapeutic Insights in Cancer. 351-356 - Antonio Gil Hoed, Lucía Prieto Santamaría, Alejandro Rodríguez González:
Evaluating the Influence of Disease-Gene Associations in the Significance of Disease Modules Through the Lens of Network Medicine. 357-362 - Blanca Rodriguez-Gonzalez, Javier Hernandez-Rubia, Borja Rodríguez-Vila, Angel Torrado-Carvajal, Alejandro Mazal, Juan Antonio Vera-Sanchez, Norberto Malpica:
Multi-Task Learning for Simultaneous CT Synthesis and OAR Segmentation in Adaptive Proton Therapy. 363-368 - 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:
CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images. 369-374 - Elena Mulero Ayllon, Massimiliano Mantegna, Linlin Shen, Paolo Soda, Valerio Guarrasi, Matteo Tortora:
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging. 375-380 - Ernest C. Chianumba, Franklyn Kogolo, Raina Samuel:
Automated Regulatory Classification of Mobile Medical Apps. 387-392 - Sergio A. Alvarez, Corrine Y. Jurgens, Yik Ki Lam, Easton Cummins, Jacqueline C. Massaro, Charounipha Soydara, Christopher S. Lee, Marvin A. Konstam:
Machine Learning Prediction of Heart Health Status from Mobile PPG Sensor Data. 393-398 - Jihun Lee, Jisun Hong, Daegil Choi, Jaehyo Jung:
LTD-Conformer: Speech Depression Detection with Speaking and Listening Perspectives. 399-404 - Anthony Stell, Adam P. Vogel, Jean Paul Vera Soto, Alejandra Abril Pareja, Richard O. Sinnott:
A Platform for the Delivery of Speech Treatment for Dysarthria in Multisystemic Ataxia. 405-410 - Máté Hires, Peter Drotár:
Augmented Speech Generalization in Parkinson's Disease Detection. 411-414 - Sushant Gautam, Michael A. Riegler, Pål Halvorsen:
Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models. 415-422 - Jisun Hong, Jihun Lee, Daegil Choi, Jaehyo Jung:
LEFORMER: Liquid Enhanced Multimodal Learning for Depression Severity Estimation. 423-428 - Giuseppe Riccio, Antonio Romano, Mariano Barone, Gian Marco Orlando, Diego Russo, Marco Postiglione, Valerio La Gatta, Vincenzo Moscato:
A Multilingual Multimodal Medical Examination Dataset for Visual Question Answering in Healthcare. 435-440 - Pablo A. Osorio-Marulanda, John Esteban Castro Ramirez, Mikel Hernández Jiménez, Nicolas Moreno Reyes, Gorka Epelde Unanue:
Differentially Private Non Parametric Copulas: Generating Synthetic Data with Non Parametric Copulas Under Privacy Guarantees. 441-448 - Hamza Aguelal, Paolo Palmieri:
ECG De-Anonymization: Real-World Risks and a Privacy-by-Design Mitigation Strategy. 449-456 - Raphael Abreu F. De Jesus, Fabrício de Oliveira Ourique, Jim Lau, Roberto Rodrigues Filho, Luciana Bolan Frigo, Alison R. Panisson, Analucia S. Morales:
An Implementation Framework Supporting Privacy by Design in Mobile Health Applications. 457-462 - Samuel Truman, Sebastian von Mammen:
VIA-VR: A Platform to Streamline the Development of Virtual Reality Serious Games for Healthcare. 463-468 - Katherine Coutinho, José Lapeña, Mariana H. G. Monje, José C. Martínez, David A. Pérez, Álvaro Sánchez-Ferro, Norberto Malpica:
Lower-Limb Bradykinesia Assessment in Parkinson's Disease From Routine Clinical Videos. 469-474 - Nazanin Sheykhmohammadi, Denis Zampuniéris, Sandro Reis, Christian Grévisse:
Using Proactive Computing for Real-Time Feedback in High-Fidelity Medical Simulation. 475-479 - Ana Cisnal, Javier Pérez Turiel, Juan Carlos Fraile Marinero:
Impact of Immersive and Non-Immersive Displays on User Performance in a Haptic-Enabled Virtual Reality Platform. 480-483 - Abdelghani Halimi, Nesma Houmani, Sonia Garcia-Salicetti, Ilias Kounis, Audrey Coilly:
A Multi-Task Learning Framework for Mortality Prediction in Liver Transplant Candidates. 484-489 - David Corral Fontecha, Pablo Menéndez Fernández-Miranda, Sergio Rubio-Martín, Alicia Merayo-Corcoba, Laura López-González, Lara Lloret Iglesias, José Antonio Vega:
Enhancing Radiomic Feature Robustness Through Voxel Spacing-Aware Extraction in Anisotropic CT Data. 490-495 - Paniti Achararit, Pawaree Nonthasaen, Sutheera Kungwanchai, Suthee Treewatanawong:
A Novel Approach for Automated Renal Stone Detection from KUB Radiographs in Thai Population. 496-499 - Gerardo Alejandro Fumagal-González, Jorge Alberto Garza Abdala, Alma Alhelí Pedro Pérez, José Gerardo Tamez-Peña:
Assessing a Proposed Dynamic Ratio in Dataset Class Imbalance with GAN's Generated Melanoma Images. 500-503 - Alejandro Rodríguez González, Lucía Prieto Santamaría, Belén Otero-Carrasco, Andrea Álvarez Pérez, David Juste Urraca:
DRIVE: A Data-Driven Platform for Disease Visualization and Drug Repurposing. 504-505 - Soumik Chemudupati:
MindMap: ML-Based Mapping of the Progression of Alzheimer's Disease Using Human Expression as a Behavioral Biomarker. 506-507 - José A. Ortiz, B. Lledó, L. Luque, R. Morales, J. Guerrero, A. Bernabeu:
Machine Learning Identification of Genetic Variants Associated with Sub-Optimal Ovarian Response and Hyper-Response. 508-509 - Onyeka Obuaya, Saturnino Luz, Shane Sheehan, Rod Taylor, Christopher Weir:
Supervised Machine Learning and Active Learning for Surrogate Outcome Detection in Clinical Protocols. 510-511 - Wen Zhan, Margherita Motta, Sebastian Baez-Lugo, Nicolas Henchoz, Meritxell Bach Cuadra, Delphine Ribes Lemay:
Explainable AI and Trust, Design Methodologies to Explore Patients' Perspective. 512-513 - Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le:
Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data. 514-515 - Qiao Chen, Hongming Xu, Xinyu Hao, Qibin Zhang, Huamin Qin, Tommi Kärkkäinen, Fengyu Cong:
Distilling Genomic Knowledge into Whole Slide Imaging for Glioma Molecular Classification. 516-521 - Emilio Paspuel-Montalvo, Khushboo Munir, Abdullah F. Al-Battal:
Bone Fracture Detection via GANs-Based Multi-Modal Fusion Technique. 522-527 - Valerio Guarrasi, Francesco Di Feola, Rebecca Restivo, Lorenzo Tronchin, Paolo Soda:
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. 528-534 - Gloria Campos, Maria Beser-Robles, Jaime Castellá-Malonda, Luis Martí-Bonmatí, Christian Mata, Montserrat Carles:
A Comparison of Open Source Deep Learning Based Models for Automatic Tumor Segmentation in Radiotherapy Planning of Glioblastoma Multiforme Adult Patients. 535-540 - Paula Martín-Palomeque, Óscar Escudero-Arnanz, Cristina Soguero-Ruíz, Antonio G. Marques:
Advanced Graph-Based Approaches for Predicting Antimicrobial Resistance in Intensive Care Units. 541-548 - Dimitrios Lezos, Dimitrios Vogiatzis:
Identification of Novel Drug-Drug Interactions as Out-of-Distribution Samples. 549-554 - Juan Esparza-Sanchez, Marco A. Parra Vilchis, Diego A. Garibi Miranda, Maricruz Sepulveda-Villegas, Angélica Lizeth Sánchez-López, Gildardo Sánchez-Ante:
Microbial Signatures of Addiction: a Computational Analysis of GUT Microbiota in Substance Use Disorders. 563-566 - Ilaria Basile, Giovanna Sannino:
Remote Monitoring of Rehabilitation Exercises Through Motion Assessment. 567-572 - Davide Colasanto, Nicola Secciani, Alessandro Bucci, Alberto Topini, Alessandro Ridolfi, Benedetto Allotta:
Robot-Assisted Upper Limb Rehabilitation System Based on Variable Admittance Control. 579-584 - Brenda Caroline Santos Mendes, Jônata Tyska Carvalho, Mateus Grellert:
Interaction Detection in Images of Therapy Sessions with Children with Autism Spectrum Disorder. 585-590 - Lara Visuña, Javier García-Blas, Jesús Carretero:
Detection of Active and Latent Tuberculosis with Explainable Deep Learning Ensembles. 599-604 - 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:
Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach. 605-611 - Waqar A. Sulaiman, Andreas Panayides, Eirini C. Schiza, Efthyvoulos Kyriacou, Antonis C. Kakas, Constantinos S. Pattichis:
Interpretable Machine Learning for Early Detection of Critical Outcomes in the Emergency Department. 612-615 - André Fernando Quaresma da Silva, André Dias Freitas, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento, Thaína A. A. Tosta:
Color Normalization by Dictionary Learning with Nuclear Segmentation Evaluation in H&E Histological Images. 616-622 - 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:
ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer. 623-629 - Syed Muhammad Hamza Zaidi, Myra Spiliopoulou:
Graph Neural Networks for the Localization of Breathing Abnormalities. 630-635 - Yusdivia Molina-Román, David Gómez-Ortiz, Ernestina Menasalvas Ruiz, José Gerardo Tamez-Peña, Alejandro Santos-Díaz:
Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography. 636-641 - Safaa Menad, Saïd Abdeddaïm, Lina Fatima Soualmia:
Predicting Similarities Between Biomedical Ontologies : The UMLs Use-Case. 648-653 - Safaa Menad, Gabriel H. A. Medeiros, Lina Fatima Soualmia:
Enhancing the Description-Detection Framework with Semantic Clustering Using Biostransformers. 654-659 - Delia Aminta Moreno-Perdomo, Paloma Tejera-Nevado, Lucía Prieto Santamaría, Guillermo Vigueras, Antonio Jesús Díaz-Honrubia, Alejandro Rodríguez González:
Lung-CABO: Lung Cancer Concepts Association Biological Ontology. 660-663 - Vicente Barros, Raquel Paradinha, João Rafael Almeida, José Luís Oliveira:
An Embedding-Based Machine Learning Solution for Medical Concept Mapping. 664-667 - Sivaramakrishnan Rajaraman, Zhaohui Liang, Niccolò Marini, Zhiyun Xue, Sameer K. Antani:
The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification. 668-673 - Carlos F. Del Cerro, Manuel Desco, Mónica Abella:
Evaluation of Client Participation on Federated Learning Scenario for Chest X-Ray Imaging. 674-679 - Charmi Patel, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob D. Furst, Daniela Raicu:
Enhancing Pulmonary Nodule Localization Based on Latent Representations. 680-685 - Francesco Di Feola, Marida De Maria, Göran Bergström, Anders Blomberg, Åse Johnsson, Pierangelo Veltri, Paolo Soda:
Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS Cohort. 686-692 - Caroline König, Pedro Copado, Enrique Romero, Javier Zarranz-Ventura, Alfredo Vellido:
Improving Diabetic Retinopathy Classification Using Class Imbalance Correction Techniques. 693-698 - Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul:
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy. 699-704 - Mariam M. Hassan, Mohamed Ragab, Mohamed Abdel-Nasser, Domenec Puig:
Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesions in Mammograms. 705-710 - Nayara Cristina da Silva, Marcelo Keese Albertini, André Ricardo Backes, Geórgia das Graças Pena:
Beyond the Black-Box: Understanding XGBoost to Predict Pediatric Hospital Readmission. 711-716 - Samuel Tauber, Christian Wiede, Karsten Seidl:
Towards Detection of Perfusion Disorders Using Remote Photoplethysmography. 717-718 - Valentina Casadei, Monica Patrascu, Line Iden Berge, Sunniva Vibe Skagen, Kjersti Nadreskar, Kamilla Haugland:
Circadian Stability via Accelerometer in People with Dementia: A DARK.DEM Proof-of-Concept. 719-720 - Darcy Murphy, Sarah Mackie, David Wong, William G. Dixon, Sabine van der Veer:
Automated Digitisation and Analysis of Paper Pain Drawings for Improved Diagnostic Accuracy of Polymyalgia Rheumatica in Primary Care. 721-722 - Kamilla Haugland, Monica Patrascu, Bettina Sandgathe Husebo, Anne Therese Hatle, Tanja Lukkari, Brice Marty, Valentina Casadei:
A Clinician Perspective on Sensor Data in People with Dementia at the End of Life: Preliminary Results From the 5-D Study. 723-724 - Patrizia Quaranta, Roberto Pietrantuono:
Exploring Causal Modeling to Enhance Diabetes Prediction and Management. 725-726 - Alejandro Rodríguez González, Victor Robles, Juan José Cubillas Mercado, Juan Manuel Martínez Pérez, Jose Luis González Mendez, Ernestina Menasalvas Ruiz:
ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM. 727-731 - 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:
AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition. 738-743 - Patrick Neff, Danpeng Cai, Emily Groves, Lara Défayes, Sebastian Baez-Lugo, Adrian Naas, Payam S. Shabestari, Nicolas Henchoz, Andreas Sonderegger, Delphine Ribes, Tobias Kleinjung:
ANT - Advancing Neurofeedback (In Tinnitus). 744-746 - 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:
Rare Diseases in the Community of Portuguese-Speaking Countries: Mapping, Advances in Digital Health, and International Cooperation. 747-750 - Eduardo Moura, Rafael C. G. Conrado, Leonardo O. Campos, Mauro Marcel Olivatto, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina, Mirela T. Cazzolato:
Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG. 751-756 - Marios Vottas, Fotis Aisopos, Konstantinos Bougiatiotis, Anastasia Krithara:
Predicting Multi-Type Drug-Drug Interactions Using a Disease-Specific Knowledge Graph. 757-762 - Alexandre Cotorobai, Jorge Miguel Silva, José Luís Oliveira:
A Federated Random Forest Solution for Secure Distributed Machine Learning. 769-774 - Andreas Miltiadous, Konstantinos Sakkas, Emmanouil D. Oikonomou, Aimilia Ntetska, Nikolaos Giannakeas, Alexandros T. Tzallas:
Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis. 775-780 - Jonah Fernandez, Bianca Innocenti, Beatriz López:
Tangent Space Mapping and CBR Synergy for EEG Classification in Neurological Disorders. 781-786 - Akshit Soota, Isaac Zhao, Carolina Ruiz, Sergio A. Alvarez:
Self-Supervised Learning of Band-Limited Spectral Features from Sleep EEG Using Variational Autoencoders. 787-794 - Eyiara Oladipo, Sarwar Nazrul, Mohamed Nafea:
Benchmarking Deep Learning Architectures for ECG-Based Multi-label Heart Disease Prediction using MIMIC-IV Database. 795-800 - Jacqueline Hausmann, Jiayi Wang, Marcia Kneusel, Stephanie Prescott, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Automated Deep Learning Approach for Post-Operative Neonatal Pain Detection and Prediction Through Physiological Signals. 801-806 - L. Carrasco, L. Ramos, Noelia Barreira, Álvaro S. Hervella, Lina H. Raffa:
Deep Learning-Based Models for Sickle Cell Anemia Characterization in Retinal Fundus Images. 807-812 - Ciro Russo, Giulio Russo, Arnau Oliver, Xavier Lladó, Mikel Terceño, Yolanda Silva, Alessandro Bria, Claudio Marrocco:
A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment. 813-818 - Kylian Desier, Luc Lafitte, Laurent Facq, Olivier Sutter, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville:
A Deep Learning-Assisted Hybrid Model for Electric Dosimetry in Electroporation Therapies. 819-822 - Kamilla Haugland, Valentina Casadei, Bettina Sandgathe Husebo, Line Iden Berge, Monica Patrascu:
Multi-Harmonic Visualization for Actigraphy-Measured Circadian Rhythm with Evolutionary Learning in People with Dementia. 823-828 - Leandro Prado de Andrade, Mario Augusto de Souza Lizier, Ricardo José Ferrari:
A Multi-Region Framework for Alzheimer's Disease Classification Based on Displacement Vector Field Statistics and Jacobian Determinants. 829-834 - Rayele Moreira, Aline Miranda, Lucas Daniel Batista Lima, Renan Fialho, Maria Beatriz Carvalho, Rafael Sousa, Victor Hugo Bastos, Silmar Teixeira, Ariel Soares Teles:
Assessing Human Pose Estimation Models for Clinically Relevant Body Segment Measurements. 835-840 - SeungHui Kim, SuLim Kang, JiYean Kwon, Sungmin Kim:
Analyze of Sex Differences and Electromyography and Autonomic Nervous System Responses to Micro Current Stimulation. 841-844 - Mohamed Yaseen Jabarulla, Steffen Oeltze-Jafra, Philipp Beerbaum, Theodor Uden:
MedBlock-Bot: A Blockchain-Enabled RAG System for Providing Feedback to Large Language Models Accessing Pediatric Clinical Guidelines. 845-850 - Félix Buendía García, Joaquín Gayoso-Cabada, José Luis Sierra-Rodríguez:
Use of Large Language Models for Cataloging Medical Reports in Reconfigurable Digital Collections. 851-856 - Anthony McCofie, Abhiram Kandiyana, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Few-Shot Prompting with Vision Language Model for Pain Classification in Infant Cry Sounds. 857-862 - Fatimaelzahraa Ali Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali, Khalid Al-Jalham, Shidin Balakrishnan:
CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning. 863-868 - Qianyu Xie, Michelle Noga, Kumaradevan Punithakumar:
Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED. 869-876 - Tarcísio Lima Ferreira, Marcelo Costa Oliveira, Thales Vieira:
AI-Driven Lung-RADS Classification on CT Reports. 877-884 - Daniel Sanderson, Daniel Alejandro Rodriguez, Javier García-Blas, Manuel Desco, Mónica Abella:
Automatic Calibration for CT Bed Stitching Based on Fourier-Mellin. 891-895 - Joao Pedro Silva, Erikson Júlio De Aguiar, Gabriel Spadon, Agma J. M. Traina, Jose F. Rodrigues:
AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data. 896-901 - Franklin Parrales-Bravo, Wilber Ortiz-Aguilar, Lorenzo J. Cevallos-Torres, Julio Barzola-Monteses, Rosangela Caicedo-Quiroz:
Current Situation of Serious Games to Support Ecuadorian Health. 908-911 - José Luis Ávila-Jiménez, Manuel Rich-Ruiz, Francisco J. Rodríguez-Lozano, Vanesa Cantón-Habas, Sebastián Ventura:
Deep Learning Approaches to Assessing University Students' Health-Related Quality of Life: A Comparative Study of MLP and GNN. 912-915 - Jesús Sanchez, Daniel Sanderson, Manuel Desco, Monica Abella Garcia, Juan Adan Guzmán-De-Villoria:
Synthesis of Contrast-Enhanced T1W Images from Multiparametric MRI Through Deep Learning. 916-921 - Yaqeen Ali, Johannes Gregori, Tewele W. Tareke, Alain Lalande, Fabrice Mériaudeau:
Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype. 922-928 - Yasmin Victoria Oliveira, Ricardo José Ferrari:
Parietal Atrophy Analysis in Alzheimer's Disease: Automation via MRI Features and Clustering Methods. 929-935 - Elena Najdenovska, Cédric Campos Carvalho, Jaime Barranco Hernandez, Yiwei Jia, Mauro Leidi, Benedetta Franceschiello, Laura Elena Raileanu:
Automated Identification of Eye Motion in Raw MRI Data Using Machine Learning. 936-940 - Danpeng Cai, Emily Groves, Lara Défayes, Adrian Naas, Nicolas Gninenko, Payam S. Shabestari, Nicolas Henchoz, Tobias Kleinjung, Andreas Sonderegger, Patrick Neff, Delphine Ribes Lemay:
Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users. 941-944 - Adrian Naas, Andreas Sonderegger, Delphine Ribes Lemay, Payam S. Shabestari, Martin Meyer, Patrick Neff:
Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training 'In the Wild': A Feasibility Study on Home Treatment. 945-950 - Vinzent Bücheler, Daniel Hieber, Maximilian Karthan, Nicola Jungbäck, Moritz Dinser, Christofer Pohl, Rüdiger Pryss, Friederike Liesche-Starnecker, Johannes Schobel:
Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies. 951-956 - Sami Andberg, Hasnain Ali Shah, Sanna Hannonen, Virve Kärkkäinen, Kai Kaarniranta, Anne M. Koivisto, Roman Bednarik:
Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification. 957-962 - 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:
Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers. 963-968 - Eugenia Sol Piñeiro, Ariel Schlaen, Rodrigo Ramele, Juliana Gambini:
A Transformer-Based Anomaly Detection System for OCT Image Embeddings. 969-972 - Yasaman Kakaei Siahkal, Néjib Moalla, Aicha Sekhari, Tao Wang, Olivier Grasset:
Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway. 973-976 - Yuansan Liu, Sudanthi N. R. Wijewickrema, Bridget Copson, Jean-Marc Gerard, Sameer Antani:
Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next. 977-982 - Zahraa Alzein, Daniele D. Caviglia:
Genetic Algorithm-Optimized Apodization for Ultrafast Plane-Wave Compounding. 983-986 - Zahraa Alzein, Daniele D. Caviglia:
A Multi-Objective Optimization Framework for Compound Weights in Divergent Wave Ultrasound Imaging. 987-990
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