Sangjoon Park

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Sangjoon Park trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Linda Wang
  2. Alexander Wong
  3. Simon Jégou
  4. Ramprasaath R. Selvaraju

Who trusts Sangjoon Park overall

  1. Fatemeh Haghighat
  2. Daiqing Li

Papers from Sangjoon Park's perspective

Ordered by how strongly the researchers Sangjoon Park trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Automatic differentiation in PyTorch
  4. ImageNet classification with deep convolutional neural networks
  5. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. COVID-19 Image Data Collection

Their papers