Kensaku Mori
Computer Vision and Pattern Recognition · 2012–2020
A researcher in the Science corpus: 8 papers; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 96 citations into it
- Artificial Intelligence — 52 citations into it
- Model Architectures — 29 citations into it
- Optimization & Training — 10 citations into it
Whom Kensaku Mori trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Szegedy
- Diederik P. Kingma
- Kaiming He
- Sergey Ioffe
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Jimmy Ba
Papers from Kensaku Mori's perspective
Ordered by how strongly the researchers Kensaku Mori 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Extraction of Airways From CT (EXACT'09) (2012) — 310 citations
- Self-supervised learning for medical image analysis using image context restoration (2019) — 580 citations
- Attention U-Net: Learning Where to Look for the Pancreas (2018) — 7,627 citations
- Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy (2018) — 415 citations
- An application of cascaded 3D fully convolutional networks for medical image segmentation (2018) — 295 citations
- Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms. (2020) — 203 citations
- DRINet for Medical Image Segmentation (2018) — 301 citations
- Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience. (2018) — 358 citations