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
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
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
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
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
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
A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
2023 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi