Stamatios N. Sotiropoulos

Radiology, Nuclear Medicine and Imaging · 2012–2018

A researcher in the Science corpus: 11 papers; trusts 35 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Stamatios N. Sotiropoulos trusts overall

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

  1. Mark Jenkinson
  2. Stephen M. Smith
  3. David S. Tuch
  4. Timothy Edward John Behrens
  5. Jesper L. R. Andersson
  6. Saâd Jbabdi
  7. Jacques-Donald Tournier
  8. Heidi Johansen-Berg
  9. Mark William Woolrich
  10. Derek K. Jones

Who trusts Stamatios N. Sotiropoulos overall

  1. Jesper L. R. Andersson
  2. Matthew F. Glasser
  3. Stephen M. Smith
  4. Fidel Alfaro-Almagro
  5. David C. Van Essen
  6. Jelle Veraart
  7. Armin W. Thomas
  8. Emma Claire Robinson
  9. J. Burt
  10. Saâd Jbabdi

Papers from Stamatios N. Sotiropoulos's perspective

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

  1. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  2. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (Magnetic Resonance in Medicine)
  3. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
  4. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
  5. Q‐ball imaging (Magnetic Resonance in Medicine)
  6. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity (Magnetic Resonance in Medicine)
  7. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  8. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain (NeuroImage)
  9. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT) (NeuroImage)
  10. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)

Their papers