Alan Wee-Chung Liew

Artificial Intelligence · 2003–2022

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alan Wee-Chung Liew trusts overall

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

  1. Dzung L. Pham
  2. John G. Sled
  3. László G. Nyúl
  4. Martin Andreas Styner
  5. Jerry L Prince
  6. Alex P. Zijdenbos
  7. Jayaram Koteshwar Udupa
  8. Christian M. Brechbühler
  9. Alan C. Evans
  10. Doulaye Dembélé

Who trusts Alan Wee-Chung Liew overall

  1. Songcan Chen

Papers from Alan Wee-Chung Liew's perspective

Ordered by how strongly the researchers Alan Wee-Chung Liew trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GradientBased Learning Applied to Document Recognition
  2. Adaptive fuzzy segmentation of magnetic resonance images
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. New variants of a method of MRI scale standardization (IEEE Transactions on Medical Imaging)
  6. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
  7. Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments (Proceedings of the National Academy of Sciences of the United States of America)
  8. Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
  9. Continual Lifelong Learning with Neural Networks: A Review (Neural Networks)
  10. Gradient-based learning applied to document recognition

Their papers