D. Louis Collins

Computer Vision and Pattern Recognition · NeuroImage · 2000–2023

A researcher in the Science corpus: 21 papers; trusts 35 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom D. Louis Collins trusts overall

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

  1. John Ashburner
  2. Simon B. Eickhoff
  3. Jack L. Lancaster
  4. Bruce Fischl
  5. Alan C. Evans
  6. John G. Sled
  7. Peter T. Fox
  8. Alex P. Zijdenbos
  9. Karl J. Friston
  10. Brian B. Avants

Who trusts D. Louis Collins overall

  1. Mert Rory Sabuncu
  2. Marc Niethammer
  3. Juan Eugenio Iglesias
  4. Alan C. Evans
  5. Daniel Rueckert
  6. Andreas Horn
  7. Andrea A. Kühn
  8. José Vicente Manjón
  9. Pierrick Coupé

Papers from D. Louis Collins's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Voxel-based morphometry--the methods.
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Densely Connected Convolutional Networks
  10. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)

Their papers