Kerstin Hammernik

Radiology, Nuclear Medicine and Imaging · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kerstin Hammernik trusts overall

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

  1. Gitta Kutyniok
  2. Stefan Roth
  3. E.J. Candes
  4. Yann LeCun
  5. Michael Lustig
  6. Diederik P. Kingma
  7. Claude E. Shannon
  8. Geoffrey E. Hinton
  9. Thomas Pock
  10. Martin Uecker

Who trusts Kerstin Hammernik overall

  1. Florian Knoll
  2. Martin Benning
  3. Jinxi Xiang
  4. Hemant Kumar Aggarwal
  5. Yan Yang
  6. Dongwook Lee
  7. Vegard Antun
  8. Chen Qin
  9. Steen Moeller
  10. Martin Burger

Papers from Kerstin Hammernik's perspective

Ordered by how strongly the researchers Kerstin Hammernik 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers