Edith V. Sullivan

Cognitive Neuroscience · 2000–2011

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Edith V. Sullivan trusts overall

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

  1. Stephen M. Smith
  2. Mark Jenkinson
  3. Denis Le Bihan
  4. Derek K. Jones
  5. Naftali Raz
  6. Torsten Rohlfing
  7. Roberto Cabeza
  8. Yongyue Zhang
  9. Randy L. Buckner
  10. George Bartzokis

Who trusts Edith V. Sullivan overall

  1. Simon W. Davis
  2. Timothy Salthouse
  3. Naftali Raz
  4. Jessica R. Andrews-Hanna
  5. Cheryl L. Grady
  6. Christoph Baur
  7. Nancy A. Dennis
  8. Adolf Pfefferbaum
  9. Denis Le Bihan
  10. Richard F. Betzel

Papers from Edith V. Sullivan's perspective

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

  1. Fast robust automated brain extraction
  2. Voxel-based morphometry--the methods.
  3. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  4. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
  5. Fast, automated, N‐dimensional phase‐unwrapping algorithm (Magnetic Resonance in Medicine)
  6. Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. (Cerebral Cortex)
  7. Looking into the functional architecture of the brain with diffusion MRI (Nature Reviews Neuroscience)
  8. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study † (Magnetic Resonance in Medicine)
  9. Susceptibility weighted imaging (SWI) (Magnetic Resonance in Medicine)
  10. Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest (NeuroImage)

Their papers