Ofer Pasternak

Radiology, Nuclear Medicine and Imaging · 2007–2017

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ofer Pasternak trusts overall

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

  1. Peter J. Basser
  2. David S. Tuch
  3. Yaniv Assaf
  4. Derek K. Jones
  5. Jacques-Donald Tournier
  6. Marco Catani
  7. Sinisa Pajevic
  8. Cyril Poupon
  9. Maxime Guye

Who trusts Ofer Pasternak overall

  1. Derek K. Jones
  2. Daniel C. Alexander
  3. I. Ellison-Wright
  4. Claudia Metzler-Baddeley
  5. Sjoerd B. Vos
  6. D. Bassett
  7. Thomas R. Knösche
  8. E. Bullmore
  9. Tim Bjørn Dyrby

Papers from Ofer Pasternak's perspective

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

  1. Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain (NeuroImage)
  2. In vivo fiber tractography using DT‐MRI data (Magnetic Resonance in Medicine)
  3. The basis of anisotropic water diffusion in the nervous system – a technical review (NMR in Biomedicine)
  4. Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles. (NeuroImage)
  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. Fiber tracking: principles and strategies – a technical review (NMR in Biomedicine)
  8. Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data (NeuroImage)
  9. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference (NeuroImage)
  10. Processing and visualization for diffusion tensor MRI (Medical Image Anal.)

Their papers