David S. Tuch

Radiology, Nuclear Medicine and Imaging · 2002–2005

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 103 researchers here, as inferred from the citation graph.

Subfields

Whom David S. Tuch trusts overall

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

  1. Denis Le Bihan
  2. Mark Jenkinson
  3. Andrew L. Alexander
  4. Arthur P. Dempster
  5. Stephen M. Smith
  6. Susumu Mori
  7. H. Wenk
  8. Carlo Pierpaoli
  9. Nan M. Laird

Who trusts David S. Tuch overall

  1. Jacques-Donald Tournier
  2. Fang-Cheng Yeh
  3. Maxime Descoteaux
  4. Ben Jeurissen
  5. Fernando Calamante
  6. Heidi Johansen-Berg
  7. Yaniv Assaf
  8. Derek K. Jones
  9. Saâd Jbabdi
  10. W. I. Tseng

Papers from David S. Tuch's perspective

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

  1. Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo (Magnetic Resonance in Medicine)
  2. Looking into the functional architecture of the brain with diffusion MRI (Nature Reviews Neuroscience)
  3. Age‐related decline in brain white matter anisotropy measured with spatially corrected echo‐planar diffusion tensor imaging (Magnetic Resonance in Medicine)
  4. Diffusion tensor imaging using single‐shot SENSE‐EPI (Magnetic Resonance in Medicine)
  5. Analysis of partial volume effects in diffusion‐tensor MRI (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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI. (Journal of magnetic resonance (San Diego, Calif. 1997 : Print))
  9. Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis (NeuroImage)
  10. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)

Their papers