Andreas Hauptmann

Biomedical Engineering · 2017

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas Hauptmann trusts overall

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

  1. Jonas Adler
  2. Olaf Ronneberger
  3. Otmar Scherzer
  4. Paul C. Beard
  5. Gennadi Vainikko
  6. Kyong Hwan Jin
  7. Jennifer L. Mueller
  8. Patrick Putzky
  9. Jean Provost
  10. Philipp Fischer

Who trusts Andreas Hauptmann overall

  1. Simon Robert Arridge
  2. Sarah Jane Hamilton

Papers from Andreas Hauptmann's perspective

Ordered by how strongly the researchers Andreas Hauptmann 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning to learn by gradient descent by gradient descent
  10. ImageNet: A large-scale hierarchical image database

Their papers