Daniel C. Alexander

Radiology, Nuclear Medicine and Imaging · 2001–2021

A researcher in the Science corpus: 17 papers; trusts 244 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel C. Alexander trusts overall

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

  1. Yaniv Assaf
  2. David S. Tuch
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. G. Parker
  6. Kaiming He
  7. Timothy Edward John Behrens
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. M. Powell

Who trusts Daniel C. Alexander overall

  1. Jacques-Donald Tournier
  2. David A. Raffelt
  3. Hui Zhang
  4. Claudia A. M. Gandini Wheeler-Kingshott
  5. Marco Catani
  6. Brain Development Cooperative Group
  7. Fernando Calamante
  8. Matthew F. Glasser
  9. Alex Fornito
  10. Michael D. Greicius

Papers from Daniel C. Alexander's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers