CBMS

Keyphrases

Publications

2024

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. CBMS (2024)
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. CBMS (2024)
Asad Khattak, Muhammad Junaid Asghar, Naila Tabassum, Hayat Ullah, Aurangzeb Khan, Zubair Asghar
Proposing an Effective Deep Learning Model for Vitamin D Deficiency Diagnosis. CBMS (2024)
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. CBMS (2024)
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. CBMS (2024)
Lina Huang, Alina Dana Miron, Kate Hone, Yongmin Li
Segmenting Medical Images: From UNet to Res-UNet and nnUNet. CBMS (2024)
37th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2024, Guadalajara, Mexico, June 26-28, 2024 CBMS (2024)
Rodrigo Carrillo, Carlos Minutti, Paulina Lagunes
A comprehensive methodology for performing Continued Process Verification. CBMS (2024)
Pedro Vale, Jennifer Boer, Hélder P. Oliveira, Tânia Pereira
Deep Learning Models to Predict Brain Cancer Grade Through MRI Analysis. CBMS (2024)
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. CBMS (2024)
Mohsin Raza, Asad Masood Khattak, Wasim Abbas, Adil Khan
Global Knowledge, Local Impact: Domain Adaptation and Classification for Obesity in the UAE. CBMS (2024)
Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar
NestNeuro: Leveraging Chatbots for Vocal Screening. CBMS (2024)
Orlando Gonzalez-Ortiz, Luis Alberto Muñoz Ubando, Gonzalo Andrés Soto Fuenzalida, Gerardo Israel Magallanes Garza
Evaluating DenseNet121 Neural Network Performance for Cervical Pathology Classification. CBMS (2024)
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. CBMS (2024)
Luís Fernandes, Tânia Pereira, Hélder P. Oliveira
Exploring the differences between Multi-task and Single-task with the use of Explainable AI for lung nodule classification. CBMS (2024)
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. CBMS (2024)
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. CBMS (2024)
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. CBMS (2024)
Hariharan Ramesh, Abdulla Al-Serkal, Houssein Kanso, Noora Aljallaf, Jinane Mounsef
Cerviscan: Advancing Cervical Cancer Detection through Deep Learning Innovations. CBMS (2024)
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. CBMS (2024)
Ulises Gallardo, Fernando Caro, Eluney Hernández, Ricardo Espinosa, Gilberto Ochoa-Ruiz
GYMetricPose: A light-weight angle-based graph adaptation for action quality assessment. CBMS (2024)
Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou
MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. CBMS (2024)
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. CBMS (2024)
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. CBMS (2024)
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. CBMS (2024)
Ulises Villela, Alessandra Grossi, Francesca Gasparini, Iván Salgado, Mariana Ballesteros
Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band. CBMS (2024)
Miro Schleicher, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches. CBMS (2024)
Juan Carlos Bernal-Romero, Juan Manuel Ramírez-Cortés
An open-access database of lead-I ECG signals with practical variability scenarios. CBMS (2024)
Juliet Polok Sarkar, András Hajdu
Comparative Analysis of Deep Learning Methods for Schizophrenia Classification from fMRI Scans. CBMS (2024)
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. CBMS (2024)
Erikson Júlio De Aguiar, Caetano Traina, Agma J. M. Traina
RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability. CBMS (2024)
Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi
Anonymized Identity Tracking: Privacy Preserving Facial Encoding. CBMS (2024)
Zed Lee, Álfheidur Ástvaldsdóttir, Hans Sandberg, Panagiotis Papapetrou, Uno Fors
Interpretable Caries Development Prediction with Event Intervals. CBMS (2024)
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. CBMS (2024)
Maria Amaro, Hélder P. Oliveira, Tânia Pereira
CNN-based Methods for Survival Prediction using CT images for Lung Cancer Patients. CBMS (2024)
Phani Sriram Vadali, Bhuvan Jayam, Pon Deepika, Madhav Rao, Vikas Vazhayil
Computer Assisted Phase Recognition of Micro-Neurosurgical Intraoperative Videos. CBMS (2024)
João Rafael Almeida, Jorge Miguel Silva, Luís Carlos Afonso, Tiago Melo Almeida, Rui Antunes, Richard A. A. Jonker, João António Reis, Dimitri Silva, Sérgio Matos, José Luís Oliveira
HealthDBFinder: a question-answering task for health database discovery. CBMS (2024)
Enrique Fernández-Morales, Carlos Luis Sánchez-Bocanegra, Rafael Pastor Vargas, José-Juan Pereyra-Rodriguez, Juan Mario Haut, José Alberto Benítez-Andrades
Analysis and Detection of Melanoma through Collective Intelligence with AI. CBMS (2024)
Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci
Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. CBMS (2024)
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. CBMS (2024)
Cristina Luna Jiménez, Zoraida Callejas, David Griol
Mental-Health Topic Classification employing D-vectors of Large Language Models. CBMS (2024)
Ricardo Espinosa, Eluney Hernández, Gilberto Ochoa-Ruiz, Christian Daul
Color-aware Exposure Correction for Endoscopic Imaging using a Lightweight Vision Transformer. CBMS (2024)
Mohith Surya Kiran Kasula, Sri Harsha Sudalagunta, Keerthika Sunchu, Saptarshi Purkayastha
Utilizing ETL Processes to Enhance Healthcare Education: Migrating MIMIC-IV to OpenEMR. CBMS (2024)
Zixian Li, Yuming Zhong, Yi Wang
Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI. CBMS (2024)
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. CBMS (2024)
Alessandro Di Matteo, Daniele Lozzi, Enrico Mattei, Filippo Mignosi, Sara Montagna, Matteo Polsinelli, Giuseppe Placidi
Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove. CBMS (2024)
Shahad Nagoor, Lucy Hederman, Kevin Koidl, Ignacio Martin-Loeches
Distinguishing Clinical Sentiment in Intensive Care Unit Clinical Notes. CBMS (2024)
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. CBMS (2024)
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. CBMS (2024)
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. CBMS (2024)