Christophe Destrieux

Computer Vision and Pattern Recognition · 2004–2010

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Christophe Destrieux trusts overall

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

  1. Bruce Fischl
  2. Florent Ségonne
  3. Brent A. Vogt
  4. A. M. Dale
  5. Rahul Desikan
  6. David H. Salat
  7. Evelina Busa
  8. J. Pacheco
  9. Leslie Vogt

Who trusts Christophe Destrieux overall

  1. Bruce Fischl
  2. Richard F. Betzel
  3. Alexandre Gramfort
  4. D. Bassett
  5. Charlotte Caucheteux
  6. Arno Klein
  7. Alan C. Evans
  8. Xi-Nian Zuo
  9. Martin Luessi
  10. Etienne Combrisson

Papers from Christophe Destrieux's perspective

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

  1. Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
  2. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  3. Differential Geometry of Curves and Surfaces
  4. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  5. Normal sexual dimorphism of the adult human brain assessed by in vivo magnetic resonance imaging. (Cerebral Cortex)
  6. on Pattern Analysis and Machine Intelligence
  7. Differential geometry of curves and surfaces
  8. Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain (Human Brain Mapping)
  9. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex (IEEE Transactions on Medical Imaging)
  10. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)

Their papers