Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing

9 April 2022

Papers citing "Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing"

6 / 6 papers shown

Title
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 76 528 0 29 Sep 2020
Deep Learning for ECG Segmentation V. Moskalenko N. Zolotykh Grigory V. Osipov 22 67 0 14 Jan 2020
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 592 4,735 0 13 May 2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond Yue Cao Jiarui Xu Stephen Lin Fangyun Wei Han Hu ISeg 76 1,561 0 25 Apr 2019
Automatic diagnosis of the 12-lead ECG using a deep neural network Antônio H. Ribeiro Manoel Horta Ribeiro Gabriela M. M. Paixão D. Oliveira P. R. Gomes ... Carl R. Andersson P. Macfarlane W. Meira Jr. Thomas B. Schon A. L. Ribeiro 47 652 0 02 Apr 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 458 10,281 0 16 Nov 2016