Nicholas J. Tustison

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 10 papers; trusts 13 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas J. Tustison trusts overall

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

  1. Brian B. Avants
  2. Bruce Fischl
  3. Stephen M. Smith
  4. John Ashburner
  5. Arno Klein
  6. John G. Sled
  7. Yongyue Zhang
  8. Paul Yushkevich
  9. Julian Besag
  10. A. M. Dale

Who trusts Nicholas J. Tustison overall

  1. P. Cook
  2. Meichen Yu
  3. Rastko Ciric
  4. Brian B. Avants
  5. Antonios Makropoulos
  6. Sérgio Pereira
  7. Ender Konukoglu
  8. Egor Krivov
  9. Jean-Philippe Fortin
  10. Arno Klein

Papers from Nicholas J. Tustison's perspective

Ordered by how strongly the researchers Nicholas J. Tustison 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. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  4. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
  5. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
  6. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  7. ImageNet classification with deep convolutional neural networks
  8. Voxel-based morphometry--the methods.
  9. Advances in functional and structural MR image analysis and implementation as FSL.
  10. A Threshold Selection Method from Gray-Level Histograms

Their papers