Yahui Jiang

Artificial Intelligence · 2020

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

• Artificial Intelligence — 26 citations into it
• Radiology, Nuclear Medicine and Imaging — 18 citations into it

Whom Yahui Jiang trusts overall

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

1. Cynthia Rudin
2. Anant Madabhushi
3. M. Veta
4. Yun Jiang
5. Yun Liu
6. John R. Zech
7. Teresa Araújo
8. David F. Steiner
9. Heather D. Couture
10. George Lee

Papers from Yahui Jiang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Deep Learning
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Emerging role of deep learning‐based artificial intelligence in tumor pathology (2020) — 388 citations