Saâd Jbabdi

Radiology, Nuclear Medicine and Imaging · 2005–2022

A researcher in the Science corpus: 17 papers; trusts 70 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Saâd Jbabdi trusts overall

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

  1. Stephen M. Smith
  2. Mark Jenkinson
  3. Timothy Edward John Behrens
  4. David S. Tuch
  5. Mark William Woolrich
  6. Van J. Wedeen
  7. Jacques-Donald Tournier
  8. Heidi Johansen-Berg
  9. Christopher J. Honey
  10. Christian F. Beckmann

Who trusts Saâd Jbabdi overall

  1. Stamatios N. Sotiropoulos
  2. Matthew F. Glasser
  3. Olaf Sporns
  4. David C. Van Essen
  5. Jacques-Donald Tournier
  6. Stephen M. Smith
  7. Jesper L. R. Andersson
  8. Fang-Cheng Yeh
  9. D. Bassett
  10. Emma Claire Robinson

Papers from Saâd Jbabdi's perspective

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

  1. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  2. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  3. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity (Magnetic Resonance in Medicine)
  4. Q‐ball imaging (Magnetic Resonance in Medicine)
  5. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
  6. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
  7. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
  8. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain (NeuroImage)
  9. Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)
  10. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)

Their papers