Jonathan H. Chen
bioRxiv · with Abid · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Whom Jonathan H. Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jonathan H. Chen overall
Papers from Jonathan H. Chen's perspective
Ordered by how strongly the researchers Jonathan H. Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet Large Scale Visual Recognition Challenge
- Rethinking the Inception Architecture for Computer Vision
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
- TensorFlow: A system for large-scale machine learning
- Focal Loss for Dense Object Detection
- Learning a Deep Convolutional Network for Image Super-Resolution
- Robust Estimation of a Location Parameter
- Dermatologist-level classification of skin cancer with deep neural networks
- Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
- ACCF/ASE/AHA/ASNC/HFSA/HRS/SCAI/SCCM/SCCT/SCMR 2011 Appropriate Use Criteria for Echocardiography. A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force,… (Journal of the American College of Cardiology)
Their papers
- Deep learning interpretation of echocardiograms (2019) — 429 citations
- Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations (2017) — 920 citations