default search action
37th CBMS 2024: Guadalajara, Mexico
- Gilberto Ochoa-Ruiz, Enrico Grisan, Sharib Ali, Rosa Sicilia, Lucía Prieto Santamaría, Bridget Kane, Christian Daul, Gildardo Sánchez-Ante, Alejandro Rodríguez González:
37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024, Guadalajara, Mexico, June 26-28, 2024. IEEE 2024, ISBN 979-8-3503-8472-7 - Daniel Flores-Araiza, Armando Villegas-Jiménez, Francisco Javier López-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. 1-8 - Tetsuya Asakawa
, Hiroki Shinoda, Kazuki Shimizu, Kei Nomura, Masaki Aono:
Estimating degree of coronary artery stenosis severity from non-contrast CT images using CNN. 9-14 - Jorge Valverde-Rebaza
Integrating YOLO and 3D U-Net for COVID-19 Diagnosis on Chest CT Scans. 15-20 - Mohsin Raza, Asad Masood Khattak, Wasim Abbas, Adil Khan:
Global Knowledge, Local Impact: Domain Adaptation and Classification for Obesity in the UAE. 21-26 - Jakob Svane, Tomasz Wiktorski, Trygve Eftestøl, Stein Ørn:
Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. 27-32 - Iker Baruch Medina Anzaldo, Laura Alejandra Sanroman Santana, Rachele Vittoria, Marisol Constantini Islas, Ivo Netali Ayala-Garcia
Measuring Range of Motion and Knee Torque with a Brace. 33-36 - Jorge German Perez Blanco, Marcos Josué Valenzuela Cruz, Leonel Vázquez Carrasco, Néstor Andrés Castellanos Velandia, Luis Carlos Félix-Herrán, Joel Carlos Huegel West:
Kinematic validation of a wrist training robotic device. 37-42 - Ulises Gallardo, Fernando Caro, Eluney Hernández, Ricardo Espinosa, Gilberto Ochoa-Ruiz:
GYMetricPose: A light-weight angle-based graph adaptation for action quality assessment. 43-50 - Asad Khattak, Muhammad Junaid Asghar, Naila Tabassum, Hayat Ullah
Proposing an Effective Deep Learning Model for Vitamin D Deficiency Diagnosis. 51-56 - Mamoudou Koume
Predicting Fear of Breast Cancer Recurrence from Healthcare Reimbursement Data using Deep Learning. 57-60 - Alexis Lopez, Flor Helena Valencia, Gilberto Ochoa-Ruiz, Sharib Ali
Multi-modal detection transformer with data engineering technique to stratify patients with Ulcerative Colitis. 61-68 - Juliet Polok Sarkar, András Hajdu:
Comparative Analysis of Deep Learning Methods for Schizophrenia Classification from fMRI Scans. 69-74 - Enrique Fernández-Morales
Analysis and Detection of Melanoma through Collective Intelligence with AI. 75-80 - Ricardo Espinosa, Javier Cerriteño, Saul Gonzalez-Dominguez, Gilberto Ochoa-Ruiz, Christian Daul:
A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts. 81-88 - Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi:
Anonymized Identity Tracking: Privacy Preserving Facial Encoding. 89-93 - Caio Marques Silva, Marcelo Colares da Silva, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento:
Computer Vision for Brain Tumor Classification: A Novel Approach Based on Zernike Moments. 94-99 - João Rafael Almeida
HealthDBFinder: a question-answering task for health database discovery. 100-105 - María Marín Tercero
Exploring Drug Repurposing Opportunities for Schizophrenia: A Network Medicine Approach. 106-111 - Óscar Escudero-Arnanz, Rosa Sicilia, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Diana Lelli, Claudio Pedone, Antonio G. Marques:
Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data. 112-119 - Marie Guyomard, Anne-Déborah Bouhnik, Louis Tassy, Raquel Ureña:
Encoding breast cancer patients' medical pathways from reimbursement data using representation learning: a benchmark for clustering tasks. 120-125 - 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:
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. 126-133 - Ulises Villela, Alessandra Grossi, Francesca Gasparini, Iván Salgado, Mariana Ballesteros:
Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band. 134-139 - 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:
External validation and interpretability of machine learning-based risk prediction for major adverse cardiovascular events. 140-145 - Atika Rahman Paddo, Shikhar Shukla
Interpolating and Forecasting Wound Trajectory using Machine Learning Approaches. 146-152 - Pedro Vale, Jennifer Boer, Hélder P. Oliveira, Tânia Pereira
Deep Learning Models to Predict Brain Cancer Grade Through MRI Analysis. 153-157 - Guilherme C. Oliveira, Quoc Cuong Ngo
A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. 158-163 - Marcelo Colares da Silva, Caio Marques Silva
A New Diabetic Retinopathy Classification Approach Based on Normalizer Free Network. 164-169 - Rafael Artiñano-Muñoz, Lucía Prieto Santamaría, Aurora Pérez-Pérez, Alejandro Rodríguez González:
DRAGON: Drug Repurposing via Graph Neural Networks with Drug and Protein Embeddings as Features. 170-175 - Yusdivia Molina
A data-driven approach on COVID-19 restrictions and its effectiveness in Latin America. 176-181 - Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo
NestNeuro: Leveraging Chatbots for Vocal Screening. 182-185 - Mohith Surya Kiran Kasula
Utilizing ETL Processes to Enhance Healthcare Education: Migrating MIMIC-IV to OpenEMR. 186-191 - Isaac Ronald Ward, Dylan M. Asmar, Mansur M. Arief
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. 192-198 - Cristina Luna Jiménez, Zoraida Callejas, David Griol:
Mental-Health Topic Classification employing D-vectors of Large Language Models. 199-204 - Abhiram Kandiyana, Peter R. Mouton, Lawrence O. Hall, Dmitry B. Goldgof:
Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. 205-212 - Alvaro Garcia-Barragán, Alberto González Calatayud
Step-forward structuring disease phenotypic entities with LLMs for disease understanding. 213-218 - Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof:
Enhancing Concept-Based Explanation with Vision-Language Models. 219-224 - Luis Humberto S. Vaca, Luis Fernando Román-Padilla, Omar Mendoza-Montoya, Javier Mauricio Antelis
AR-assisted navigation of a mobile robot controlled by an SSVEP-based BCI. 225-230 - Yu Shi, Mingxiao Liu, Sophie Dewil, Noam Y. Harel, Sean Sanford, Raviraj Nataraj:
Augmented Sensory Feedback during Training of Upper Extremity Function in Virtual Reality. 231-236 - Marco Raoul Marini, Alessio Mecca, Gian Luca Foresti, Luigi Cinque:
A Natural Interaction System for Medical Training through VR Technology. 237-242 - Ricardo Gracelli, Jurandy Almeida:
Exploring Alternative Data Augmentation Methods in Dysarthric Automatic Speech Recognition. 243-248 - Shahad Nagoor, Lucy Hederman
Distinguishing Clinical Sentiment in Intensive Care Unit Clinical Notes. 249-259 - Jean R. Ponciano
A symptom-based community-weighted similarity approach for inpatient health condition monitoring. 260-266 - Iftakhar Ali Khandokar, Omar Farghaly, Anai N. Kothari, Priya Deshpande:
Towards Precision Diagnosis: Integrating Lexical Analysis and Deep Learning for Uncertainty Detection and Quantification in Clinical Reports. 267-272 - Esteban Ricardo Salazar Cabrera, Alejandro Santos-Díaz, Ernestina Menasalvas, José Gerardo Tamez-Peña, Victor Robles:
Named Entity Recognition in Mammography Radiology Reports using a Multilingual Transfer Learning Approach. 273-277 - Joel Ramos Michaliszen, João Carlos N. Fernandes
A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images. 278-283 - Rodrigo Carrillo
A comprehensive methodology for performing Continued Process Verification. 284-289 - Maria Amaro, Hélder P. Oliveira, Tânia Pereira
CNN-based Methods for Survival Prediction using CT images for Lung Cancer Patients. 290-296 - Orlando Gonzalez-Ortiz, Luis Alberto Muñoz-Ubando, Gonzalo Andrés Soto Fuenzalida, Gerardo Israel Magallanes Garza:
Evaluating DenseNet121 Neural Network Performance for Cervical Pathology Classification. 297-302 - 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
Machine Learning in Predicting the Success of Spine Surgery: A Multivariable Study. 303-308 - 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:
Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. 309-314 - Jarrett Woo, Jin Woo Kim, Kwangtaek Kim, Jeremy Jarzembak, Ann James, Jennifer Biggs, Robert Clements, John Dunlosky:
Comparative Design and Analysis of Multimodal VR Simulations for IV Needle Insertion Training. 315-319 - Greta Grillo, Tommaso Torda, Cecilia Voena, Andrea Ciardiello
Integrating ChatGPT-4: A Novel XAI Interface for Enhanced Clinician Understanding of MRI Image Segmentation Results. 320-325 - Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou:
MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. 326-331 - Oscar Ramos-Soto
Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising. 332-337 - Ayush Roy, Anurag Bhattacharjee, Diego Oliva
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays. 338-343 - Hariharan Ramesh, Abdulla Al-Serkal, Houssein Kanso, Noora Aljallaf, Jinane Mounsef:
Cerviscan: Advancing Cervical Cancer Detection through Deep Learning Innovations. 344-349 - Antonio Nadal-Martínez, Lidia Talavera-Martínez, Marc Munar, Manuel González Hidalgo:
Convolutional neural network architectures and aggregation information models for pulmonary X-ray segmentation. 350-357 - 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:
Improving COVID-19 Recognition: A Study of Contrast Enhancement Techniques and Normalization in Chest X-Rays Images. 358-363 - Manoella Rockembach, Rodrigo Ferraz Souza, Aldo von Wangenheim, Antonio Carlos Sobieranski:
Computer Vision-based Approach for Automated Recognition of Interference Patterns in Digital Inline Holography Microscopy. 364-369 - Rodrigo Ferraz Souza, Manoella Rockembach, Bruna Samantha Marchi, Marcelo Fernandes Costa
Computer Vision and Eyetracking Approach for Assessing Visual Disorders in Premature Infants. 370-375 - Ricardo Espinosa, Eluney Hernández, Gilberto Ochoa-Ruiz, Christian Daul:
Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. 376-382 - Mansoor Ali Teevno
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency. 383-390 - Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou:
Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches. 391-397 - José Mercado, Yahir Hernandez-Mella, Ismael Edrein Espinosa-Curiel, Juan Martínez-Miranda
Design and Development of a Serious Game to Prevent Substance Use in Mexican Scholars. 398-405 - João Rafael Almeida
Assessing the feasibility of observational data sources for multicenter clinical studies. 406-411 - Sandeep Angara, Jongwoo Kim:
Deep Ensemble Learning for Classification of Glaucoma from Smartphone Fundus Images. 412-417 - Luís Fernandes, Tânia Pereira
Exploring the differences between Multi-task and Single-task with the use of Explainable AI for lung nodule classification. 418-423 - Gabriel Maia Bezerra, Elene F. Ohata, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Atslands Rego da Rocha, Pedro Pedrosa Rebouças Filho:
Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations. 424-429 - Zed Lee, Álfheidur Ástvaldsdóttir, Hans Sandberg, Panagiotis Papapetrou, Uno Fors:
Interpretable Caries Development Prediction with Event Intervals. 430-435 - Erikson Júlio De Aguiar, Caetano Traina, Agma J. M. Traina:
RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability. 436-441 - Alfredo Ormazabal, Damon Berry
Co-development of a tool to help clinicians decide upon the trustworthiness of Patient Generated Health Data. 442-449 - Wiley Tam, Jean-Louis Dillenseger
Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery. 450-455 - Phani Sriram Vadali, Bhuvan Jayam, Pon Deepika, Madhav Rao, Vikas Vazhayil:
Computer Assisted Phase Recognition of Micro-Neurosurgical Intraoperative Videos. 456-460 - Arthur Ricardo De Sousa Vitória, Adriel Lenner Vinhal Mori, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho:
Multi-Strain Dynamics: Modeling Dengue Transmission in Brazilian Regions with SIR Models. 461-466 - Daniela Herrera, Francisco Javier López-Tiro, Josep Munuera
Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques. 467-472 - 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:
Seadra : a fully customizable and user-friendly application for image annotation and segmentation. 473-476 - Edward Ellis, Andrew J. Bulpitt
Ultrasound Image Segmentation and its Evaluation using Various Encoder Architectures. 477-482 - Lina Huang, Alina Dana Miron, Kate Hone, Yongmin Li:
Segmenting Medical Images: From UNet to Res-UNet and nnUNet. 483-489 - Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci:
Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. 490-495 - Zixian Li, Yuming Zhong, Yi Wang:
Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI. 496-501 - Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou:
COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. 502-507 - 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:
Ultralow Current Measurement Circuit with Active Closed-Loop Control for Hydrogen Peroxide Detection in Glucose Levels Healthcare. 508-513 - Yanexis Pupo Toledo, Andre Luiz da S. Pereira, Alexis P. Quesada, Rogério Ferreira de Moraes, Silena Herold-García
Scalable Segmentation of Diabetic Foot Ulcers. 514-520 - Alessandro Di Matteo, Daniele Lozzi
Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove. 521-526 - Pedro Flores-Ortiz, Luis Montesinos
Characterization of hippocampal local field potentials using fractal dimension analysis. 527-532 - Abdelhadi Essamlali, Aymeric Becq, Dm. Camus, L. Arrivé, M. Chartier, G. Salin, Jérôme Szewczyk, I. Claude:
BDU-Net: A New Application of U-Net to the Segmentation of Bile Ducts from Cholangio-MRI Images. 533-536 - Lucas de Oliveira Santos, Iágson Carlos L. Silva, Matheus A. dos Santos, Aldísio Gonçalves Medeiros, Pedro Pedrosa Rebouças Filho:
Efficient Classification of Depression using EEG through Spectral Graph Analysis. 537-542 - Juan Carlos Bernal-Romero, Juan Manuel Ramírez-Cortés
An open-access database of lead-I ECG signals with practical variability scenarios. 543-548 - Enrico Mattei
Deep Learning Architecture analysis for EEG-Based BCI Classification under Motor Execution. 549-555 - Nohemí Sánchez-Medel, Víctor Romero Bautista, Raquel Díaz-Hernández, Leopoldo Altamirano Robles:
Dermatological imaging of skin lesions in different skin phototypes using style transfer. 556-561
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-07-17 01:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: