Gang Song

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Song trusts overall

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

  1. Brian B. Avants
  2. John Ashburner
  3. Stephen M. Smith
  4. Bruce Fischl
  5. Daniel Rueckert
  6. Eric Learned-Miller
  7. John P. Lewis
  8. Arno Klein
  9. Stefan Klein

Who trusts Gang Song overall

  1. Egor Krivov
  2. Guha Balakrishnan
  3. Brian B. Avants
  4. Nicholas J. Tustison

Papers from Gang Song's perspective

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

  1. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
  2. 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)
  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. Voxel-based morphometry--the methods.
  6. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  7. A fast diffeomorphic image registration algorithm (NeuroImage)
  8. Advances in functional and structural MR image analysis and implementation as FSL.
  9. HAMMER: hierarchical attribute matching mechanism for elastic registration (IEEE Transactions on Medical Imaging)
  10. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (International Journal of Computer Vision)

Their papers