Claudia A. M. Gandini Wheeler-Kingshott

Radiology, Nuclear Medicine and Imaging · 2002–2017

A researcher in the Science corpus: 9 papers; trusts 12 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Claudia A. M. Gandini Wheeler-Kingshott trusts overall

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

  1. David S. Tuch
  2. Derek K. Jones
  3. Daniel C. Alexander
  4. Carlo Pierpaoli
  5. Peter J. Basser
  6. Cyril Poupon
  7. Yaniv Assaf
  8. Timothy Edward John Behrens
  9. Bram Stieltjes
  10. Andrew L. Alexander

Who trusts Claudia A. M. Gandini Wheeler-Kingshott overall

  1. Jacques-Donald Tournier
  2. G. Parker
  3. Daniel C. Alexander
  4. Yasser Iturria-Medina
  5. Ben Jeurissen
  6. Rowan J. Smith
  7. Saâd Jbabdi
  8. H. W. Robert Powell
  9. David A. Raffelt
  10. Erick Jorge Canales-Rodríguez

Papers from Claudia A. M. Gandini Wheeler-Kingshott's perspective

Ordered by how strongly the researchers Claudia A. M. Gandini Wheeler-Kingshott trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Q‐ball imaging (Magnetic Resonance in Medicine)
  2. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain (NeuroImage)
  3. Analysis of partial volume effects in diffusion‐tensor MRI (Magnetic Resonance in Medicine)
  4. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  5. Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles. (NeuroImage)
  6. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity (Magnetic Resonance in Medicine)
  7. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
  8. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  9. Separate neural subsystems within 'Wernicke's area'. (Brain : a journal of neurology)
  10. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI (Magnetic Resonance in Medicine)

Their papers