Gerard R. Ridgway

Radiology, Nuclear Medicine and Imaging · 2009–2017

A researcher in the Science corpus: 10 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Gerard R. Ridgway trusts overall

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

  1. John Ashburner
  2. Stephen M. Smith
  3. Mark Jenkinson
  4. Thomas E. Nichols
  5. Christopher R. Genovese
  6. Karl J. Friston
  7. Yaniv Assaf
  8. William R. Crum
  9. Jacques-Donald Tournier
  10. Pranab Kumar Sen

Who trusts Gerard R. Ridgway overall

  1. Rowan J. Smith
  2. David A. Raffelt
  3. Jacques-Donald Tournier
  4. Christian Gaser
  5. Anders Eklund
  6. Cyrus DiCiccio
  7. Timothy S. Coalson
  8. Robert Dahnke
  9. Juan Eugenio Iglesias
  10. Guillem Pratx

Papers from Gerard R. Ridgway's perspective

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

  1. Voxel-based morphometry--the methods.
  2. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  3. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
  4. A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
  5. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (NeuroImage)
  6. 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)
  7. A fast diffeomorphic image registration algorithm (NeuroImage)
  8. Fast, automated, N‐dimensional phase‐unwrapping algorithm (Magnetic Resonance in Medicine)
  9. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference (NeuroImage)
  10. Advances in functional and structural MR image analysis and implementation as FSL.

Their papers