| 2024 | 37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024, Guadalajara, Mexico, June 26-28, 2024 Gilberto Ochoa-Ruiz, Enrico Grisan, Sharib Ali, Rosa Sicilia, Lucía Prieto Santamaría, Bridget Kane, Christian Daul, Gildardo Sánchez-Ante, Alejandro Rodríguez González |
| 2024 | A Natural Interaction System for Medical Training through VR Technology. Marco Raoul Marini, Alessio Mecca, Gian Luca Foresti, Luigi Cinque |
| 2024 | A New Diabetic Retinopathy Classification Approach Based on Normalizer Free Network. Marcelo Colares da Silva, Caio Marques Silva, Alexis Galeno Matos, Suane Pires Pinheiro da Silva, Róger Moura Sarmento, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento, Rhuan Victor Crescencio Santiago, Cilis Aragao Benevides, Caio Cesar Henrique Cunha |
| 2024 | A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images. Joel Ramos Michaliszen, João Carlos N. Fernandes, Calleo Belo Barroso, Leandro Bezerra Marinho, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento |
| 2024 | A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. Guilherme C. Oliveira, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar |
| 2024 | A comprehensive methodology for performing Continued Process Verification. Rodrigo Carrillo, Carlos Minutti-Martinez, Paulina Lagunes |
| 2024 | A data-driven approach on COVID-19 restrictions and its effectiveness in Latin America. Yusdivia Molina, Jorge G. Iglesias, Luis Montesinos |
| 2024 | A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts. Ricardo Espinosa, Javier Cerriteño, Saul Gonzalez-Dominguez, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | A symptom-based community-weighted similarity approach for inpatient health condition monitoring. Jean R. Ponciano, Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina |
| 2024 | AR-assisted navigation of a mobile robot controlled by an SSVEP-based BCI. Luis Humberto S. Vaca, Luis Fernando Román-Padilla, Omar Mendoza-Montoya, Javier Mauricio Antelis |
| 2024 | Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. Abhiram Kandiyana, Peter R. Mouton, Lawrence O. Hall, Dmitry B. Goldgof |
| 2024 | Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. João Silva-Leite, Cristina A. P. Fontes, Alair S. Santos, Diogo G. Correa, Marcel Koenigkam-Santos, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos V. N. Bedo |
| 2024 | An open-access database of lead-I ECG signals with practical variability scenarios. Juan Carlos Bernal-Romero, Juan Manuel Ramírez-Cortés |
| 2024 | Analysis and Detection of Melanoma through Collective Intelligence with AI. Enrique Fernández-Morales, Carlos Luis Sánchez-Bocanegra, Rafael Pastor Vargas, José-Juan Pereyra-Rodriguez, Juan Mario Haut, José Alberto Benítez-Andrades |
| 2024 | Anonymized Identity Tracking: Privacy Preserving Facial Encoding. Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi |
| 2024 | Assessing the feasibility of observational data sources for multicenter clinical studies. João Rafael Almeida, Peter R. Rijnbeek, Maxim Moinat, José Luís Oliveira |
| 2024 | Augmented Sensory Feedback during Training of Upper Extremity Function in Virtual Reality. Yu Shi, Mingxiao Liu, Sophie Dewil, Noam Y. Harel, Sean Sanford, Raviraj Nataraj |
| 2024 | BDU-Net: A New Application of U-Net to the Segmentation of Bile Ducts from Cholangio-MRI Images. Abdelhadi Essamlali, Aymeric Becq, Dm. Camus, L. Arrivé, M. Chartier, G. Salin, Jérôme Szewczyk, I. Claude |
| 2024 | CNN-based Methods for Survival Prediction using CT images for Lung Cancer Patients. Maria Amaro, Hélder P. Oliveira, Tânia Pereira |
| 2024 | COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou |
| 2024 | Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove. Alessandro Di Matteo, Daniele Lozzi, Enrico Mattei, Filippo Mignosi, Sara Montagna, Matteo Polsinelli, Giuseppe Placidi |
| 2024 | Cerviscan: Advancing Cervical Cancer Detection through Deep Learning Innovations. Hariharan Ramesh, Abdulla Al-Serkal, Houssein Kanso, Noora Aljallaf, Jinane Mounsef |
| 2024 | Characterization of hippocampal local field potentials using fractal dimension analysis. Pedro Flores-Ortiz, Luis Montesinos, Arturo G. Isla, Alejandro Santos-Díaz, Luis Enrique Arroyo-Garcia |
| 2024 | Co-development of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data. Alfredo Ormazabal, Damon Berry, Lucy Hederman |
| 2024 | Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. Ricardo Espinosa, Eluney Hernández, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | Comparative Analysis of Deep Learning Methods for Schizophrenia Classification from fMRI Scans. Juliet Polok Sarkar, András Hajdu |
| 2024 | Comparative Design and Analysis of Multimodal VR Simulations for IV Needle Insertion Training. Jarrett Woo, Jin Woo Kim, Kwangtaek Kim, Jeremy Jarzembak, Ann James, Jennifer Biggs, Robert Clements, John Dunlosky |
| 2024 | Computer Assisted Phase Recognition of Micro-Neurosurgical Intraoperative Videos. Phani Sriram Vadali, Bhuvan Jayam, Pon Deepika, Madhav Rao, Vikas Vazhayil |
| 2024 | Computer Vision and Eyetracking Approach for Assessing Visual Disorders in Premature Infants. Rodrigo Ferraz Souza, Manoella Rockembach, Bruna Samantha Marchi, Marcelo Fernandes Costa, Cristiane Aparecida Moran, Antonio Carlos Sobieranski |
| 2024 | Computer Vision for Brain Tumor Classification: A Novel Approach Based on Zernike Moments. Caio Marques Silva, Marcelo Colares da Silva, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento |
| 2024 | Computer Vision-based Approach for Automated Recognition of Interference Patterns in Digital Inline Holography Microscopy. Manoella Rockembach, Rodrigo Ferraz Souza, Aldo von Wangenheim, Antonio Carlos Sobieranski |
| 2024 | Convolutional neural network architectures and aggregation information models for pulmonary X-ray segmentation. Antonio Nadal-Martínez, Lidia Talavera-Martínez, Marc Munar, Manuel González Hidalgo |
| 2024 | DRAGON: Drug Repurposing via Graph Neural Networks with Drug and Protein Embeddings as Features. Rafael Artiñano-Muñoz, Lucía Prieto Santamaría, Aurora Pérez-Pérez, Alejandro Rodríguez González |
| 2024 | Deep Ensemble Learning for Classification of Glaucoma from Smartphone Fundus Images. Sandeep Angara, Jongwoo Kim |
| 2024 | Deep Learning Architecture analysis for EEG-Based BCI Classification under Motor Execution. Enrico Mattei, Daniele Lozzi, Alessandro Di Matteo, Matteo Polsinelli, Costanzo Manes, Filippo Mignosi, Giuseppe Placidi |
| 2024 | Deep Learning Models to Predict Brain Cancer Grade Through MRI Analysis. Pedro Vale, Jennifer Boer, Hélder P. Oliveira, Tânia Pereira |
| 2024 | Dermatological imaging of skin lesions in different skin phototypes using style transfer. Nohemí Sánchez-Medel, Víctor Romero Bautista, Raquel Díaz-Hernández, Leopoldo Altamirano Robles |
| 2024 | Design and Development of a Serious Game to Prevent Substance Use in Mexican Scholars. José Mercado, Yahir Hernandez-Mella, Ismael Edrein Espinosa-Curiel, Juan Martínez-Miranda |
| 2024 | Distinguishing Clinical Sentiment in Intensive Care Unit Clinical Notes. Shahad Nagoor, Lucy Hederman, Kevin Koidl, Ignacio Martin-Loeches |
| 2024 | Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency. Mansoor Ali Teevno, Rafael Martinez Garcia Peña, Gilberto Ochoa-Ruiz, Sharib Ali |
| 2024 | Efficient Classification of Depression using EEG through Spectral Graph Analysis. Lucas de Oliveira Santos, Iágson Carlos Lima Silva, Matheus A. dos Santos, Aldísio Gonçalves Medeiros, Pedro Pedrosa Rebouças Filho |
| 2024 | Encoding breast cancer patients' medical pathways from reimbursement data using representation learning: a benchmark for clustering tasks. Marie Guyomard, Anne-Déborah Bouhnik, Louis Tassy, Raquel Ureña |
| 2024 | Enhancing Concept-Based Explanation with Vision-Language Models. Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof |
| 2024 | Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising. Oscar Ramos-Soto, Ángel Casas-Ordaz, Diego Oliva, Sandra E. Balderas-Mata, Saúl Zapotecas Martínez |
| 2024 | Estimating degree of coronary artery stenosis severity from non-contrast CT images using CNN. Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Kei Nomura, Masaki Aono |
| 2024 | Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations. Gabriel Maia Bezerra, Elene F. Ohata, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Atslands Rego da Rocha, Pedro Pedrosa Rebouças Filho |
| 2024 | Evaluating DenseNet121 Neural Network Performance for Cervical Pathology Classification. Orlando Gonzalez-Ortiz, Luis Alberto Muñoz-Ubando, Gonzalo Andrés Soto Fuenzalida, Gerardo Israel Magallanes Garza |
| 2024 | Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. Ruben Gonzalez-Perez, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Luis Eduardo Falcón-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | Exploring Alternative Data Augmentation Methods in Dysarthric Automatic Speech Recognition. Ricardo Gracelli, Jurandy Almeida |
| 2024 | Exploring Drug Repurposing Opportunities for Schizophrenia: A Network Medicine Approach. María Marín Tercero, Lucía Prieto Santamaría, Alejandro Rodríguez González |
| 2024 | Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI. Zixian Li, Yuming Zhong, Yi Wang |
| 2024 | Exploring the differences between Multi-task and Single-task with the use of Explainable AI for lung nodule classification. Luís Fernandes, Tânia Pereira, Hélder P. Oliveira |
| 2024 | External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events. Gilson Yuuji Shimizu, Elen Almeida Romão, José Abrão Cardeal Da Costa, João Mazzoncini de Azevedo Marques, Sandro Scarpelini, Kátia Mitiko Firmino Suzuki, Hilton Vicente César, Paulo M. Azevedo-Marques |
| 2024 | FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays. Ayush Roy, Anurag Bhattacharjee, Diego Oliva, Oscar Ramos-Soto, Francisco Javier Alvarez Padilla, Ram Sarkar |
| 2024 | GYMetricPose: A light-weight angle-based graph adaptation for action quality assessment. Ulises Gallardo, Fernando Caro, Eluney Hernández, Ricardo Espinosa, Gilberto Ochoa-Ruiz |
| 2024 | Global Knowledge, Local Impact: Domain Adaptation and Classification for Obesity in the UAE. Mohsin Raza, Asad Masood Khattak, Wasim Abbas, Adil Khan |
| 2024 | HealthDBFinder: a question-answering task for health database discovery. João Rafael Almeida, Jorge Miguel Silva, Luís Carlos Afonso, Tiago Melo Almeida, Rui Antunes, Richard A. A. Jonker, João António Reis, Dimitri Alexandre da Silva, Sérgio Matos, José Luís Oliveira |
| 2024 | Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques. Daniela Herrera, Francisco Javier López-Tiro, Josep Munuera, Christian Mata, Miguel González-Mendoza, Gilberto Ochoa-Ruiz |
| 2024 | Improving COVID-19 Recognition: A Study of Contrast Enhancement Techniques and Normalization in Chest X-Rays Images. Angel Ernesto Picazo-Castillo, Lizbeth A. Náfate Lázaro, Dennis F. Ruiz Camera, Raquel Díaz-Hernández, Leopoldo Altamirano Robles, Saúl Zapotecas Martínez, Salvador Eugenio Ayala-Raggi |
| 2024 | Integrating ChatGPT-4: A Novel XAI Interface for Enhanced Clinician Understanding of MRI Image Segmentation Results. Greta Grillo, Tommaso Torda, Cecilia Voena, Andrea Ciardiello, Stefano Giagu |
| 2024 | Integrating YOLO and 3D U-Net for COVID-19 Diagnosis on Chest CT Scans. Jorge Valverde-Rebaza, Guilherme R. Andreis, Pedro Shiguihara, Sebastián Paucar, Leandro Y. Mano, Fabiana Góes, Julieta Noguez, Nathalia C. da Silva |
| 2024 | Interpolating and Forecasting Wound Trajectory using Machine Learning Approaches. Atika Rahman Paddo, Shikhar Shukla, Shomita S. Steiner, Saptarshi Purkayastha, Chandan K. Sen |
| 2024 | Interpretable Caries Development Prediction with Event Intervals. Zed Lee, Álfheidur Ástvaldsdóttir, Hans Sandberg, Panagiotis Papapetrou, Uno Fors |
| 2024 | Kinematic validation of a wrist training robotic device. Jorge German Perez Blanco, Marcos Josué Valenzuela Cruz, Leonel Vázquez Carrasco, Néstor Andrés Castellanos Velandia, Luis Carlos Félix-Herrán, Joel Carlos Huegel West |
| 2024 | Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data. Óscar Escudero-Arnanz, Rosa Sicilia, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Diana Lelli, Claudio Pedone, Antonio G. Marques |
| 2024 | MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou |
| 2024 | Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn |
| 2024 | Machine Learning in Predicting the Success of Spine Surgery: A Multivariable Study. José Alberto Benítez-Andrades, Nicolás Ordás-Reyes, Antonio Serrano-García, Marta Esteban Blanco, Jesús Betegón Nicolás, José Viloria Gutiérrez, José Ángel Hernández Encinas, Ana Lozano Muñoz, Alicia Merayo, Camino Prada-García |
| 2024 | Measuring Range of Motion and Knee Torque with a Brace. Iker Baruch Medina Anzaldo, Laura Alejandra Sanroman Santana, Rachele Vittoria, Marisol Constantini Islas, Ivo Netali Ayala-Garcia, Alejandro Gonzalez |
| 2024 | Mental-Health Topic Classification employing D-vectors of Large Language Models. Cristina Luna Jiménez, Zoraida Callejas, David Griol |
| 2024 | Multi-Strain Dynamics: Modeling Dengue Transmission in Brazilian Regions with SIR Models. Arthur Ricardo de Sousa Vitória, Adriel Lenner Vinhal Mori, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho |
| 2024 | Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis. Alexis Lopez, Flor Helena Valencia, Gilberto Ochoa-Ruiz, Sharib Ali |
| 2024 | Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band. Ulises Villela, Alessandra Grossi, Francesca Gasparini, Iván Salgado, Mariana Ballesteros |
| 2024 | Named Entity Recognition in Mammography Radiology Reports using a Multilingual Transfer Learning Approach. Esteban Ricardo Salazar Cabrera, Alejandro Santos-Díaz, Ernestina Menasalvas, José Gerardo Tamez-Peña, Victor Robles |
| 2024 | NestNeuro: Leveraging Chatbots for Vocal Screening. Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar |
| 2024 | On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. Daniel Flores-Araiza, Armando Villegas-Jiménez, Francisco Javier López-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul |
| 2024 | Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief, Jana Krystofova Mike, Mykel J. Kochenderfer |
| 2024 | Predicting Fear of Breast Cancer Recurrence from Healthcare Reimbursement Data using Deep Learning. Mamoudou Koume, Lorène Seguin, Anne-Déborah Bouhnik, Raquel Ureña |
| 2024 | Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches. Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou |
| 2024 | Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci |
| 2024 | Proposing an Effective Deep Learning Model for Vitamin D Deficiency Diagnosis. Asad Khattak, Muhammad Junaid Asghar, Naila Tabassum, Hayat Ullah, Aurangzeb Khan, Zubair Asghar |
| 2024 | RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability. Erikson Júlio De Aguiar, Caetano Traina, Agma J. M. Traina |
| 2024 | Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery. Wiley Tam, Jean-Louis Dillenseger, Paul S. Babyn, Javad Alirezaie |
| 2024 | Scalable Segmentation of Diabetic Foot Ulcers. Yanexis Pupo Toledo, Andre Luiz da S. Pereira, Alexis P. Quesada, Rogério Ferreira de Moraes, Silena Herold-García, Leandro A. F. Fernandes |
| 2024 | Seadra : a fully customizable and user-friendly application for image annotation and segmentation. Jules Morata, David Bernard, Kévin Cortacero, Clément Eloire, Mehdi Ech-Chouini, Emmanuelle Vigarios, Steven Ceccarel, Delphine Comtesse-Maret, Thomas Filleron, Sandrine Mouysset, Sylvain Cussat-Blanc |
| 2024 | Segmenting Medical Images: From UNet to Res-UNet and nnUNet. Lina Huang, Alina Dana Miron, Kate Hone, Yongmin Li |
| 2024 | Step-forward structuring disease phenotypic entities with LLMs for disease understanding. Alvaro Garcia-Barragán, Alberto González Calatayud, Lucía Prieto Santamaría, Víctor Robles, Ernestina Menasalvas, Alejandro Rodríguez |
| 2024 | Towards Precision Diagnosis: Integrating Lexical Analysis and Deep Learning for Uncertainty Detection and Quantification in Clinical Reports. Iftakhar Ali Khandokar, Omar Farghaly, Anai N. Kothari, Priya Deshpande |
| 2024 | Ultralow Current Measurement Circuit with Active Closed-Loop Control for Hydrogen Peroxide Detection in Glucose Levels Healthcare. Fernando Sánchez-Hernández, Esteban Martínez-Guerrero, Cuauhtémoc R. Aguilera-Galicia, José Luis Chávez-Hurtado, Jaime Ramírez-Angulo, Elsie Evelyn Araujo-Palomo, Patricia G. López-Cárdenas |
| 2024 | Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. Edward Ellis, Andrew J. Bulpitt, Sharib Ali |
| 2024 | Utilizing ETL Processes to Enhance Healthcare Education: Migrating MIMIC-IV to OpenEMR. Mohith Surya Kiran Kasula, Sri Harsha Sudalagunta, Keerthika Sunchu, Saptarshi Purkayastha |