Erick Jorge Canales-Rodríguez

Cognitive Neuroscience · 2005–2017

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Erick Jorge Canales-Rodríguez trusts overall

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

  1. David S. Tuch
  2. G. Parker
  3. Yaniv Assaf
  4. Denis Le Bihan
  5. Peter J. Basser
  6. Daniel C. Alexander
  7. Van J. Wedeen
  8. ProblemsPer Christian HansenDepartment
  9. Timothy Edward John Behrens
  10. Stephen M. Smith

Who trusts Erick Jorge Canales-Rodríguez overall

  1. Olaf Sporns
  2. E. Bullmore
  3. Andrew Zalesky
  4. Gaolang Gong
  5. Maxime Guye
  6. Alex Fornito
  7. Alessandra Griffa

Papers from Erick Jorge Canales-Rodríguez's perspective

Ordered by how strongly the researchers Erick Jorge Canales-Rodríguez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity (Magnetic Resonance in Medicine)
  2. Q‐ball imaging (Magnetic Resonance in Medicine)
  3. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
  4. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain (NeuroImage)
  5. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging (Nature Neuroscience)
  6. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  7. DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection (NeuroImage)
  8. Voxel-based morphometry--the methods.
  9. Looking into the functional architecture of the brain with diffusion MRI (Nature Reviews Neuroscience)
  10. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)

Their papers