Michel Thiebaut de Schotten

Cognitive Neuroscience · 2008–2013

A researcher in the Science corpus: 7 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Michel Thiebaut de Schotten trusts overall

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

  1. Marco Catani
  2. Derek K. Jones
  3. Jacques-Donald Tournier
  4. Jeremy D. Schmahmann
  5. Fernando Calamante
  6. Deepak N. Pandya
  7. Sinisa Pajevic
  8. Peter J. Basser
  9. Setsu Wakana
  10. Dominic H. Ffytche

Who trusts Michel Thiebaut de Schotten overall

  1. Marco Catani
  2. Flavio Dell'Acqua
  3. And U. Turken
  4. David Poeppel
  5. Tamara Ius
  6. Ben Jeurissen
  7. Nina F. Dronkers
  8. M. F. Assaneo

Papers from Michel Thiebaut de Schotten's perspective

Ordered by how strongly the researchers Michel Thiebaut de Schotten trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain (NeuroImage)
  2. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
  3. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (NeuroImage)
  4. In vivo fiber tractography using DT‐MRI data (Magnetic Resonance in Medicine)
  5. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI (Magnetic Resonance in Medicine)
  6. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  7. Perisylvian language networks of the human brain (Annals of Neurology)
  8. Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography. (Brain : a journal of neurology)
  9. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (Magnetic Resonance in Medicine)
  10. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)

Their papers