Thijs Kooi
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 116 citations into it; #20,734 of 21,575 by trust here, #1,836 by citations
- Artificial Intelligence — 95 citations into it; #30,348 of 35,345 by trust here, #2,214 by citations
- Model Architectures — 27 citations into it
Whom Thijs Kooi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Ilya Sutskever
- J. Urgen Schmidhuber
- Diederik P. Kingma
- Dan Claudiu Ciresan
- Karen Simonyan
Who trusts Thijs Kooi overall
- A. Ahuja
- Md. Zahangir Alom
- Cynthia Rudin
- Mingxia Liu
- Mufti Mahmud
- Zhiqiang Tian
- Wentao Zhu
- Mugahed A. Al-antari
- Rikiya Yamashita
- Geert J. S. Litjens
Papers from Thijs Kooi's perspective
Ordered by how strongly the researchers Thijs Kooi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A survey on deep learning in medical image analysis (2017) — 13,846 citations
- Large scale deep learning for computer aided detection of mammographic lesions (2017) — 912 citations