Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

Reducing the Dimensionality of Data with Neural Networks

Geoffrey E. Hinton, Ruslan Salakhutdinov · Science · 2006 · 21K citations

Computing, Computer Science, Artificial Intelligence +14

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Shaojie Bai, J. Zico Kolter, Vladlen Koltun · arXiv (Cornell University) · 2018 · 4.3K citations · Full text

Computing, Computer Science, Computer Vision +13

Multi-Ethnic Study of Atherosclerosis: Objectives and Design

Diane E. Bild · American Journal of Epidemiology · 2002 · 4K citations · Full text

Medicine, Cardiology, Ethnic Studies +17

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Awni Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi et al. · Nature Medicine · 2018 · 3K citations

Computing, Cardiology, Computer Science +16