Conference: IEEE CBMS 2025 (IEEE International Symposium on Computer-Based Medical Systems)

Conference: IEEE CBMS 2025 (IEEE International Symposium on Computer-Based Medical Systems)

This page shows all presentations from this conference published in EasyChair Smart Slide.

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

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

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

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

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

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

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

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

Sushant Gautam, Michael A. Riegler and Pål Halvorsen

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

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

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

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

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

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

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

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

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

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

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

Dimitrios Lezos and Dimitrios Vogiatzis

A Federated Random Forest Solution for Secure Distributed Machine Learning

A Federated Random Forest Solution for Secure Distributed Machine Learning

Alexandre Cotorobai, Jorge Miguel Silva and José Luis Oliveira

Generative-AI Solutions for Connecting Seniors and Healthcare Providers

Generative-AI Solutions for Connecting Seniors and Healthcare Providers

Emad Deilam Salehi, Yufei Yuan and Kamran Sartipi

Adapting a Segmentation Foundation Model for Medical Image Classification

Adapting a Segmentation Foundation Model for Medical Image Classification

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

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

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

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

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

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

Federico Digiacomo, Gabriella Olmo and Alessandro Gumiero

Automated Regulatory Classification of Mobile Medical Apps

Automated Regulatory Classification of Mobile Medical Apps

Ernest Chianumba, Franklyn Kogolo and Raina Samuel

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

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

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

Ensemble of radiomics and ConvNeXt for breast cancer diagnosis

Ensemble of radiomics and ConvNeXt for breast cancer diagnosis

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

Towards Automated Placental Screening: Instance Segmentation in Clinical Images

Towards Automated Placental Screening: Instance Segmentation in Clinical Images

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

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

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

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

AI-Driven Survival Prediction in Pancreatic Cancer

AI-Driven Survival Prediction in Pancreatic Cancer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

William Niemiec, Anderson Rocha Tavares and Érika Fernandes Cota

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

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

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

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

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

Samuel Truman and Sebastian von Mammen

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

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

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

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

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

Mattia Manna, Simone Boesso, Lorenzo Farina and Manuela Petti

Automating Tissue Segmentation and Quantification for Wound Healing Assessment

Automating Tissue Segmentation and Quantification for Wound Healing Assessment

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

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

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

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

Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years

Is fine-tuning useful in EHR-based prediction models? A use case on mortality prediction with longitudinal data from Spanish (SIDIAP) and UK (CPRD) populations aged over 65 years

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

Automatic calibration for CT bed stitching based on Fourier-Mellin

Automatic calibration for CT bed stitching based on Fourier-Mellin

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

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

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

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

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

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

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

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

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

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

A Transformer-Based Anomaly Detection System for OCT Image Embeddings

A Transformer-Based Anomaly Detection System for OCT Image Embeddings

Eugenia Piñeiro, Ariel Schlaen, Rodrigo Ramele and Juliana Gambini

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

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

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

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

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

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

Nuclear segmentation in histological images using multiple attention system mixing

Nuclear segmentation in histological images using multiple attention system mixing

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

Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence

Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence

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

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

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

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

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

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

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

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

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

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

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

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

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

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

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

Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes

Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes

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

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

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

Kim Seunghui, Kang Sulim, Kwon Jiyean and Kim Sungmin

Presentations in this collection: 51