Shanshan Wang

Biomedical Engineering · with Liu · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 5 citations into it

Whom Shanshan Wang trusts overall

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

1. Justin K. Romberg
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Oriol Vinyals
8. Chao Dong
9. Xiaoqun Zhang
10. Diederik P. Kingma

Who trusts Shanshan Wang overall

1. Ge Wang
2. Jong Chul Ye
3. Hyungjin Chung
4. Michael T. McCann
5. Yoseob Han
6. Florian Knoll
7. Tran Minh Quan
8. Jaejun Yoo
9. Kyong Hwan Jin
10. Yair Rivenson

Papers from Shanshan Wang's perspective

Ordered by how strongly the researchers Shanshan Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Accelerating magnetic resonance imaging via deep learning (2016) — 888 citations
• Annotation-efficient deep learning for automatic medical image segmentation (2020) — 300 citations