Jonathan Rubin

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

Jonathan Rubin, Rui Abreu, Anurag Ganguli et al. · Computing in cardiology · 2016 · 134 citations · Full text

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

Annamalai Natarajan, Yale Chang, Sara Mariani et al. · Computing in cardiology · 2020 · 130 citations · Full text

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 · 91 citations

Electrophysiological Evaluation, Convolutional Neural Network, Engineering +12

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 · 77 citations · Full text

Computed Tomography, Convolutional Neural Network, Engineering +21

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