Jonathan Rubin

A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification

Annamalai Natarajan, Yale Chang, Sara Mariani et al. · Computing in cardiology · 2020 · 139 citations · Full text

Computing, Biomedical Informatics, Cardiology +17

Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel:Frequency Cepstral Coefficients

Jonathan Rubin, Anurag Ganguli, Saigopal Nelaturi et al. · Computing in cardiology · 2016 · 138 citations · Full text

Computing, Biomedical Engineering, Cardiology +17

Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings

Jonathan Rubin, Saman Parvaneh, Asif Rahman et al. · Journal of Electrocardiology · 2018 · 93 citations

Medicine, Biomedical Engineering, Cardiology +14

Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks

Jonathan Rubin, Deepan Sanghavi, Claire Zhao et al. · arXiv (Cornell University) · 2018 · 78 citations · Full text

Medicine, Biomedical Engineering, Radiology +17

Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation

Saman Parvaneh, Jonathan Rubin, Asif Rahman et al. · Physiological Measurement · 2018 · 61 citations

Medicine, Biomedical Engineering, Cardiology +17