8000 GitHub - lmsg1/ATI-CNN-cinc2020: Classification of 12-lead ECGs: the PhysioNet - Computing in Cardiology Challenge 2020
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Digest of Top Models (CinC2020 papers searching Challenge on this page)

  • prna: Transformer
  • Between a ROC and a heart place: Adaptive lead weighted ResNet
  • HeartBeats: SE-ResNet
  • Triage: ResNet and Scatter Transform
  • Sharif AI Team: Branched CNN (each branch being VGG-like) and RNN
  • DSAIL_SNU: Bag of Tricks (data augmentation?) for Electrocardiogram Classification with DNN
  • UMCUVA: Exponentially Dilated Causal CNN
  • CQUPT_ECG: Multi-scale SE-Net
  • ECU: CRNN + NAS
  • PALab: SE-ResNet
  • BUTTeam: CNN (modified resnet) With Global Skip Connections and Custom Loss Function
  • SpaceOn Flattop: Modified (how modified?) ResNet
  • ISIBrno: Residual CNN-GRU with Attention Mechanism
  • other teams: Modified EfficientNet; Class Activation Map; Graph Convolutional Network (GCN)

Final rankings can be found here

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This repo no longer updates. Further updates will be done in torch_ecg, if there are any.

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Classification of 12-lead ECGs: the PhysioNet - Computing in Cardiology Challenge 2020

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