Daniel K. Sodickson

Radiology, Nuclear Medicine and Imaging · 2013–2020

A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel K. Sodickson trusts overall

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

  1. E.J. Candes
  2. Gitta Kutyniok
  3. Michael Lustig
  4. David L. Donoho
  5. Zhou Wang
  6. Jeffrey A. Fessler
  7. Ingrid Daubechies
  8. Mark A. Griswold
  9. Saiprasad Ravishankar
  10. Yann LeCun

Who trusts Daniel K. Sodickson overall

  1. Jo Schlemper

Papers from Daniel K. Sodickson's perspective

Ordered by how strongly the researchers Daniel K. Sodickson 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. ImageNet: A large-scale hierarchical image database
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Improved Techniques for Training GANs
  10. Learning Multiple Layers of Features from Tiny Images

Their papers