Michael David Abràmoff

Radiology, Nuclear Medicine and Imaging · 2004–2020

A researcher in the Science corpus: 18 papers; trusts 16 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Michael David Abràmoff trusts overall

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

  1. Yuri Boykov
  2. Meindert Niemeijer
  3. Mona Kathryn Garvin
  4. Joes Staal
  5. Kang Li
  6. David W. Hosmer Jr.
  7. B. van Ginneken
  8. David G. Lowe
  9. Xiaodong Wu
  10. Alex Krizhevsky

Who trusts Michael David Abràmoff overall

  1. G. Desbois
  2. Eric J. Topol
  3. Erik H. W. Meijering
  4. José Ignacio Orlando
  5. Nathan J B Kraft
  6. Bin Zhou
  7. Matthew R. Longo
  8. J. Murdock
  9. Scott A. Rush
  10. Jianfeng Wang

Papers from Michael David Abràmoff's perspective

Ordered by how strongly the researchers Michael David Abràmoff 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. GENERATIVE ADVERSARIAL NETS
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers