Rahman Md Moklesur

AI-DRIVEN ATRIAL ARRHYTHMIA DETECTION: DEVELOPMENT, CROSS-COMPARISON AND UNCERTAINTY QUANTIFICATION OF ALGORITHMS FOR CLINICAL CONTINUOUS ECGS / M.m. Rahman ; supervisor: M. W. Rivolta ; cosupervisor: F. Badilini, R. Sassi ; coordinator: R. Sassi. Dipartimento di Informatica Giovanni Degli Antoni, 2024 Dec 05. 37. ciclo

Evidential Deep Learning Model for Atrial Fibrillation Detection from Holter Recordings / M. Moklesur Rahman, M.W. Rivolta, P. Maison Blanche, F. Badilini, R. Sassi - In: Computing in Cardiology[s.l] : IEEE, 2024. - pp. 1-4 (( Intervento presentato al 51. convegno Computing in Cardiology tenutosi a Karlsruhe nel 2024 [10.22489/cinc.2024.384].

Early warning of atrial fibrillation using deep learning / 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. - In: PATTERNS. - ISSN 2666-3899. - (2024), pp. 100970.1-100970.9. [Epub ahead of print] [10.1016/j.patter.2024.100970]

Quantifying Uncertainty of a Deep Learning Model for Atrial Fibrillation Detection from ECG Signals / M. Moklesur Rahman, M.W. Rivolta, F. Badilini, R. Sassi - In: Computing in Cardiology[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2023. - ISBN 979-8-3503-8252-5. - pp. 1-4 (( Intervento presentato al 50. convegno Computing in Cardiology tenutosi a Atlanta (GA, USA) nel 2023 [10.22489/cinc.2023.340].

A Systematic Survey of Data Augmentation of ECG Signals for AI Applications / M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi. - In: SENSORS. - ISSN 1424-8220. - 23:11(2023), pp. 5237.1-5237.22. [10.3390/s23115237]