Leonie Henschel

Radiology, Nuclear Medicine and Imaging · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leonie Henschel trusts overall

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

  1. Bruce Fischl
  2. Diederik P. Kingma
  3. Martin Reuter
  4. Evan Shelhamer
  5. Arno Klein
  6. A. M. Dale
  7. Ian J. Goodfellow
  8. Olaf Ronneberger
  9. Daniel S. Marcus
  10. Jimmy Ba

Papers from Leonie Henschel's perspective

Ordered by how strongly the researchers Leonie Henschel 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers