Daisuke Komura
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #22,448 of 35,345 by trust here, #21,878 by citations
- Computer Vision and Pattern Recognition — 38 citations into it; #13,917 of 21,575 by trust here, #14,478 by citations
- Radiology, Nuclear Medicine and Imaging — 16 citations into it; #1,505 of 3,265 by trust here, #1,316 by citations
Whom Daisuke Komura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yan Xu
- Alex Krizhevsky
- Tsung-Yu Lin
- Hao Chen
- Geoffrey E. Hinton
- Fabio Alexandre Spanhol
- Peter David Caie
- Olga Russakovsky
- Ilya Sutskever
- Andrew H. Beck
Who trusts Daisuke Komura overall
- Ozan Ciga
- Alexander Rakhlin
- Reabal Najjar
- Anne L. Martel
- Aleksei Tiulpin
- Tony Xu
- Muhammad Farooq Khan Niazi
Papers from Daisuke Komura's perspective
Ordered by how strongly the researchers Daisuke Komura 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)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Machine Learning Methods for Histopathological Image Analysis (2017) — 855 citations
- From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge (2019) — 709 citations