Didier Dormont

Computer Vision and Pattern Recognition · 2003–2011

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Didier Dormont trusts overall

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

  1. John Ashburner
  2. Sébastien Ourselin
  3. John C. Mazziotta

Who trusts Didier Dormont overall

  1. Nicholas Ayache

Papers from Didier Dormont's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Normalized cuts and image segmentation
  3. Spline Models for Observational Data
  4. Voxel-based morphometry--the methods.
  5. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  6. Learning with Kernels
  7. Kernel Methods for Pattern Analysis
  8. A Method for Registration of 3-D Shapes
  9. A fast diffeomorphic image registration algorithm (NeuroImage)
  10. Automatic classification of MR scans in Alzheimer’s disease

Their papers