Yujin Oh

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

• Radiology, Nuclear Medicine and Imaging — 15 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it; #18,143 of 21,575 by trust here, #18,266 by citations
• Infectious Diseases — 8 citations into it

Whom Yujin Oh 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
5. Adam Paszke
6. Olaf Ronneberger
7. Z. Q. Lin
8. Ezz El-Din Hemdan
9. Diederik P. Kingma
10. Michal Drozdzal

Who trusts Yujin Oh overall

1. Fatemeh Haghighat
2. Daiqing Li
3. Deng-Ping Fan
4. Junlin Yang

Papers from Yujin Oh's perspective

Ordered by how strongly the researchers Yujin Oh 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)

Their papers

• Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets (2020) — 764 citations