Sfoglia per Autore
Mostrati risultati da 1 a 6 di 6
A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
2023 M.M. Rahman, M.W. Rivolta, F. Badilini, 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
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
AI-DRIVEN ATRIAL ARRHYTHMIA DETECTION: DEVELOPMENT, CROSS-COMPARISON AND UNCERTAINTY QUANTIFICATION OF ALGORITHMS FOR CLINICAL CONTINUOUS ECGS
2024 M.M. Rahman
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
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
Mostrati risultati da 1 a 6 di 6
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