Paul M. Thompson

with Guo · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Paul M. Thompson trusts overall

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

  1. Tom Fawcett

Papers from Paul M. Thompson's perspective

Ordered by how strongly the researchers Paul M. Thompson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. This PDF file includes: Materials and Methods
  2. An introduction to ROC analysis
  3. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
  4. Deep learning for neuroimaging: a validation study
  5. The Human Connectome Project: A data acquisition perspective (NeuroImage)
  6. Manifold Learning of Brain MRIs by Deep Learning
  7. Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness (NeuroImage: Clinical)
  8. ImageNet classification with deep convolutional neural networks
  9. Learning Multiple Layers of Features from Tiny Images
  10. Gradient-based learning applied to document recognition

Their papers