Steen Moeller

Radiology, Nuclear Medicine and Imaging · 2010–2019

A researcher in the Science corpus: 13 papers; trusts 83 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Steen Moeller trusts overall

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

  1. Stephen M. Smith
  2. Yann LeCun
  3. Mark A. Griswold
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Christian F. Beckmann
  7. Michael Lustig
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Steen Moeller overall

  1. Stephen M. Smith
  2. Kawin Setsompop
  3. Jesper L. R. Andersson
  4. David A. Feinberg
  5. Xavier Guell
  6. Matthew F. Glasser
  7. Saâd Jbabdi
  8. Stamatios N. Sotiropoulos
  9. E. Auerbach
  10. Junqian Xu

Papers from Steen Moeller's perspective

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

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

Their papers