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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-Jimenez, Francisco Javier Lopez-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
, Guilherme R. Andreis, Pedro Shiguihara, Sebastián Paucar, Leandro Y. Mano, Fabiana Góes, Julieta Noguez, Nathalia C. da Silva
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 N. Ayala-Garcia, Alejandro Gonzalez:
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, Aurangzeb Khan, Zubair Asghar:
Proposing an Effective Deep Learning Model for Vitamin D Deficiency Diagnosis. 51-56 - Mamoudou Koume, Lorène Seguin, Anne-Déborah Bouhnik, Raquel Ureña:
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, Jorge Miguel Silva, Luís Carlos Afonso, Tiago Melo Almeida
HealthDBFinder: a question-answering task for health database discovery. 100-105 - María Marín Tercero, Lucía Prieto Santamaría, Alejandro Rodríguez González:
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 Lopez-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, João P. Papa, Dinesh Kant Kumar:
A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. 158-163 - 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:
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, João P. Papa, Dinesh Kant Kumar:
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 Arief, Jana Krystofova Mike, Mykel J. Kochenderfer:
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, Kevin Koidl, Ignacio Martin-Loeches:
Distinguishing Clinical Sentiment in Intensive Care Unit Clinical Notes. 249-259 - Jean R. Ponciano, Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina:
A symptom-based community-weighted similarity approach for inpatient health condition monitoring. 260-266 - Iftakhar 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 Pena, Victor Robles:
Named Entity Recognition in Mammography Radiology Reports using a Multilingual Transfer Learning Approach. 273-277 - 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:
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, Carlos Minutti-Martinez
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 Corcoba, Camino Prada-García:
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, Stefano Giagu:
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, Ángel Casas-Ordaz, Diego Oliva, Sandra E. Balderas-Mata, Saúl Zapotecas Martínez:
Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising. 332-337 - Ayush Roy, Anurag Bhattacharjee, Diego Oliva, Oscar Ramos-Soto, Francisco J. Alvarez-Padilla, Ram Sarkar:
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, Cristiane Aparecida Moran, Antonio Carlos Sobieranski:
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, Rafael Martinez Garcia Peña, Gilberto Ochoa-Ruiz, Sharib Ali:
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, Peter R. Rijnbeek, Maxim Moinat, José Luís Oliveira:
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 Z. Bittencourt, Valden Luis Matos Capistrano, Atslands R. 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, Lucy Hederman:
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 Lopez-Tiro, Josep Munuera, Christian Mata, Miguel González-Mendoza, Gilberto Ochoa-Ruiz:
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, Leandro A. F. Fernandes:
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 - A. 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
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