RAHMAN, MD MOKLESUR
RAHMAN, MD MOKLESUR
Dipartimento di Informatica Giovanni Degli Antoni
Uncertainty estimation of deep learning models for atrial fibrillation detection from Holter recordings: A benchmark study
2026 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi
Residual-attention deep learning model for atrial fibrillation detection from Holter recordings
2025 M.M. Rahman, M.W. Rivolta, M. Vaglio, P. Maison-Blanche, F. Badilini, R. Sassi
Transfer Learning for ECG-Based Age Estimation from Adult to Pediatric Populations
2025 S. Battiston, N. Gonzato, M.M. Rahman, M.W. Rivolta, A. Sanzo, I. Raso, S. Santacesaria, G. Zuccotti, S. Mannarino, R. Sassi
Artificial Intelligence in Pediatric Electrocardiogram Analysis: Sex and Age Estimation Across Puberty
2025 M.M. Rahman, S. Battiston, M.W. Rivolta, A. Sanzo, I. Raso, S. Santacesaria, G. Zuccotti, S. Mannarino, R. Sassi
Evidential Deep Learning Model for Atrial Fibrillation Detection from Holter Recordings
2024 M. Moklesur Rahman, M.W. Rivolta, P. Maison Blanche, F. Badilini, R. Sassi
AI-DRIVEN ATRIAL ARRHYTHMIA DETECTION: DEVELOPMENT, CROSS-COMPARISON AND UNCERTAINTY QUANTIFICATION OF ALGORITHMS FOR CLINICAL CONTINUOUS ECGS
2024 M.M. Rahman
Early warning of atrial fibrillation using deep learning
2024 M. Gavidia, H. Zhu, A.N. Montanari, J. Fuentes, C. Cheng, S. Dubner, M. Chames, P. Maison-Blanche, M.M. Rahman, R. Sassi, F. Badilini, Y. Jiang, S. Zhang, H. Zhang, H. Du, B. Teng, Y. Yuan, G. Wan, Z. Tang, X. He, X. Yang, J. Goncalves
A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
2023 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi