Maxime Descoteaux

Radiology, Nuclear Medicine and Imaging · 2007–2019

A researcher in the Science corpus: 7 papers; trusts 35 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Maxime Descoteaux trusts overall

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

  1. David S. Tuch
  2. Jacques-Donald Tournier
  3. Peter J. Basser
  4. Timothy Edward John Behrens
  5. Fernando Calamante
  6. Yaniv Assaf
  7. G. Parker
  8. Susumu Mori
  9. Mark Jenkinson
  10. Alan Connelly

Who trusts Maxime Descoteaux overall

  1. Ben Jeurissen
  2. Jacques-Donald Tournier
  3. Derek K. Jones
  4. Saâd Jbabdi
  5. Fang-Cheng Yeh
  6. Alexander Leemans
  7. Eleftherios Garyfallidis
  8. Kawin Setsompop
  9. Alessandro Daducci
  10. Gabriel Girard

Papers from Maxime Descoteaux's perspective

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

  1. Q‐ball imaging (Magnetic Resonance in Medicine)
  2. In vivo fiber tractography using DT‐MRI data (Magnetic Resonance in Medicine)
  3. Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain (NeuroImage)
  4. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (Magnetic Resonance in Medicine)
  5. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  6. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (NeuroImage)
  7. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT) (NeuroImage)
  8. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity (Magnetic Resonance in Medicine)
  9. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain (NeuroImage)
  10. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)

Their papers