Andrew Hoopes

Computer Vision and Pattern Recognition · 2022

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 Andrew Hoopes trusts overall

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

  1. Bruce Fischl
  2. Stephen M. Smith
  3. Brian B. Avants
  4. Fausto Milletarì
  5. Trevor J. Hastie
  6. Vincent Arsigny
  7. David W. Shattuck
  8. Pierrick Coupé
  9. M. Descoteaux
  10. Dan Hendrycks

Papers from Andrew Hoopes's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Random Forests
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Fast robust automated brain extraction
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers