Santiago Estrada

Radiology, Nuclear Medicine and Imaging · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Santiago Estrada trusts overall

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

  1. Bruce Fischl
  2. Diederik P. Kingma
  3. Martin Reuter

Papers from Santiago Estrada's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Fully convolutional networks for semantic segmentation
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Maxout Networks
  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. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers