Hugo J. W. L. Aerts

Radiology, Nuclear Medicine and Imaging · 2012–2021

A researcher in the Science corpus: 21 papers; trusts 38 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hugo J. W. L. Aerts trusts overall

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

  1. Chintan Parmar
  2. Max Kuhn
  3. Philippe Lambin
  4. Geoffrey E. Hinton
  5. Patrick Grossmann
  6. Alex Krizhevsky
  7. Isabelle M Guyon
  8. Diederik P. Kingma
  9. Robert Martin Haralick
  10. Gavin Brown

Who trusts Hugo J. W. L. Aerts overall

  1. Chintan Parmar
  2. Ahmed Hosny
  3. El Naqa
  4. Philippe Lambin
  5. Nicholas McGranahan
  6. S. Yip
  7. R. Larue
  8. Shuo Wang
  9. Mathieu Hatt
  10. Patrick Grossmann

Papers from Hugo J. W. L. Aerts's perspective

Ordered by how strongly the researchers Hugo J. W. L. Aerts 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Layer Normalization
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. ImageNet: A large-scale hierarchical image database

Their papers