Hideyuki Shimizu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hideyuki Shimizu trusts overall

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

  1. M. Shaban
  2. Andrew Janowczyk
  3. Christoph Baur
  4. Ren Zuo
  5. Dinggang Shen
  6. R. Siegel
  7. Neeraj Dhungel
  8. Hui Yuan Xiong
  9. Masashi Tsubaki
  10. Nassir Navab

Papers from Hideyuki Shimizu's perspective

Ordered by how strongly the researchers Hideyuki Shimizu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Learning
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers