Antônio H. Ribeiro

Universidade Federal de Minas Gerais — Brazil

Medicine · Health Sciences

20h-index16.1kcitations127works6.12yr avg
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Research Topics

ECG Monitoring and Analysis(57), Cardiovascular Function and Risk Factors(13), Phonocardiography and Auscultation Techniques(13), Machine Learning in Healthcare(11), Neural Networks and Applications(10)

Publications119 total

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
Computing in cardiology·2025
A multi-source domain fine-tuning framework for deep generalization performance in physiological time series analysis
Machine Learning Health·2025Open Access
The cost of explainability in artificial intelligence-enhanced electrocardiogram models
npj Digital Medicine·2025· 1 citedOpen Access
Single-Lead, Single-Beat: Smartwatch ECG Risk Assessment in Decompensated Heart Failure Patients via Domain-Guided Attention
2025Open Access
Abstract 4367626: Prospective Validation of opportunistic screening for Chagas disease using Artificial Intelligence-enabled ECG: the SaMi-Trop Project
Circulation·2025
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
arXiv (Cornell University)·2025Open Access
Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study
Circulation Arrhythmia and Electrophysiology·2025· 5 citedOpen Access
A deep learning ECG model for localization of occlusion myocardial infarction
2025Open Access
Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms
arXiv (Cornell University)·2025Open Access
Evaluation of AI ECG age in the prediction of cardiovascular diseases and risk factors: Exploratory data analysis
Journal of Electrocardiology·2025· 1 cited
On the Interaction of Compressibility and Adversarial Robustness
arXiv (Cornell University)·2025Open Access
High-precision automatic classification of normal electrocardiograms: An AI-based model for the telehealth system
Journal of Electrocardiology·2025
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
arXiv (Cornell University)·2025Open Access
Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study
The Lancet Digital Health·2025· 17 citedOpen Access
CONCEITO E DIAGNÓSTICO DE ENXAQUECA E SUA RELAÇÃO COM QUESTÕES HORMONAIS EM MULHERES
Revista fisio&terapia.·2025
Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study
npj Digital Medicine·2025· 18 citedOpen Access
Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model
Lecture notes in computer science·2025
AI-ECG and prediction of new atrial fibrillation: when the heart tells the age
European Heart Journal·2024· 5 cited
Transferability and Adversarial Training in Automatic Classification of the Electrocardiogram with Deep Learning
Computing in cardiology·2024· 1 citedOpen Access
Genetic and phenotypic architecture of human myocardial trabeculation
Nature Cardiovascular Research·2024· 8 citedOpen Access
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Frequent Co-authors

Antônio Luiz Pinho Ribeiro(26), Thomas B. Schön(20), Derick M. Oliveira(11), Paulo R. Gomes(10), Wagner Meira(9), Gabriela Paixão(9), Daniel Gedon(8), Jéssica A. Canazart(7), Sandhi Maria Barreto(7), Emilly M. Lima(6), Luana Giatti(6), Luís A. Aguirre(6), Peter W. Macfarlane(5), Marcelo Martins Pinto Filho(5), Éster Cerdeira Sabino(5), Arunashis Sau(5), Fu Siong Ng(5), Milton P. Ferreira(4), Carl R. Andersson(4), Veer Sangha(4)