Kenny H. Cha

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 58 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 97 citations into it; #20,282 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 83 citations into it; #29,748 of 35,345 by trust here, #12,974 by citations
• Radiology, Nuclear Medicine and Imaging — 69 citations into it; #2,351 of 3,265 by trust here, #1,183 by citations
• Optimization & Training — 12 citations into it
• Radiation — 6 citations into it

Whom Kenny H. Cha trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Rainer Lienhart
5. Ilya Sutskever
6. Yann LeCun
7. Olga Russakovsky
8. Kaiming He
9. Jia Deng
10. Diederik P. Kingma

Who trusts Kenny H. Cha overall

1. Kenji Suzuki
2. Sarmad Shafique
3. Yading Yuan
4. Khushboo Munir
5. Saeid Asgari Taghanaki
6. Samabia Tehsin
7. M. Chao

Papers from Kenny H. Cha's perspective

Ordered by how strongly the researchers Kenny H. Cha 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. Long Short-Term Memory
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets. (2016) — 247 citations
• Deep learning in medical imaging and radiation therapy. (2018) — 668 citations
• Multi-task transfer learning deep convolutional neural network: Application to computer-aided diagnosis of breast cancer on mammograms (2017) — 203 citations
• Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. (2016) — 270 citations