Jingshan Huang
Cardiology and Cardiovascular Medicine · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cardiology and Cardiovascular Medicine — 9 citations into it
- Cognitive Neuroscience — 6 citations into it
Whom Jingshan Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jingshan Huang overall
Papers from Jingshan Huang's perspective
Ordered by how strongly the researchers Jingshan Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Backpropagation Applied to Handwritten Zip Code Recognition
- ImageNet classification with deep convolutional neural networks
- The impact of the MIT-BIH Arrhythmia Database (IEEE Engineering in Medicine and Biology Magazine)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks (IEEE Transactions on Biomedical Engineering)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification (Comput. Biol. Medicine)
- Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals (Comput. Methods Programs Biomed.)
- Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks (arXiv.org)
Their papers
- ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network (2019) — 455 citations