Els Fieremans

Radiology, Nuclear Medicine and Imaging · 2011–2016

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Els Fieremans trusts overall

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

  1. Yaniv Assaf
  2. Jens H. Jensen
  3. David S. Tuch
  4. Peter J. Basser
  5. E. Sykova
  6. Van J. Wedeen
  7. Joseph A. Helpern
  8. Daniel C. Alexander
  9. Stephen M. Smith
  10. C. Nicholson

Who trusts Els Fieremans overall

  1. Daniel C. Alexander
  2. Marius Tröndle
  3. Enrico Kaden
  4. Andrew B. Rosenkrantz
  5. Lucilio Cordero-Grande
  6. Tzvetan Popov
  7. Tim Bjørn Dyrby
  8. Nathaniel D. Kelm
  9. Daan Christiaens
  10. Jelle Veraart

Papers from Els Fieremans's perspective

Ordered by how strongly the researchers Els Fieremans 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. Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging (Magnetic Resonance in Medicine)
  3. Q‐ball imaging (Magnetic Resonance in Medicine)
  4. The basis of anisotropic water diffusion in the nervous system – a technical review (NMR in Biomedicine)
  5. Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo (Magnetic Resonance in Medicine)
  6. In vivo fiber tractography using DT‐MRI data (Magnetic Resonance in Medicine)
  7. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (Magnetic Resonance in Medicine)
  8. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI (Magnetic Resonance in Medicine)
  9. Axcaliber: A method for measuring axon diameter distribution from diffusion MRI (Magnetic Resonance in Medicine)
  10. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (NeuroImage)

Their papers