Emma Claire Robinson

Radiology, Nuclear Medicine and Imaging · 2013–2019

A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Emma Claire Robinson trusts overall

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

  1. Stephen M. Smith
  2. Matthew F. Glasser
  3. Christian F. Beckmann
  4. D. V. Van Essen
  5. Bruce Fischl
  6. Vladimir Kolmogorov
  7. Yarin Gal
  8. Burr Settles
  9. Mark William Woolrich
  10. Olaf Sporns

Who trusts Emma Claire Robinson overall

  1. Timothy S. Coalson
  2. Matthew F. Glasser
  3. Xavier Guell
  4. J. Dubois
  5. Antonios Makropoulos
  6. J. Burt
  7. D. V. Van Essen
  8. Ru Kong
  9. Salim Arslan
  10. Jie Lisa Ji

Papers from Emma Claire Robinson's perspective

Ordered by how strongly the researchers Emma Claire Robinson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers