Seokmin Han

Radiology, Nuclear Medicine and Imaging · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Pulmonary and Respiratory Medicine — 8 citations into it

Whom Seokmin Han trusts overall

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

1. Kunio Doi
2. Yoshua Bengio
3. Heung-Il Suk
4. Yangqing Jia
5. Geoffrey E. Hinton
6. Aaron C. Courville
7. Nima Tajbakhsh
8. Pascal Vincent
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Seokmin Han overall

1. Shengfeng Liu
2. Ghulam Murtaza

Papers from Seokmin Han's perspective

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

Their papers

• A deep learning framework for supporting the classification of breast lesions in ultrasound images (2017) — 337 citations