Giuseppe Scotti

Radiology, Nuclear Medicine and Imaging · 2002–2010

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Giuseppe Scotti trusts

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

  1. David S. Tuch (in Radiology, Nuclear Medicine and Imaging)
  2. Denis Le Bihan (in Radiology, Nuclear Medicine and Imaging)
  3. Jacques-Donald Tournier (in Radiology, Nuclear Medicine and Imaging)
  4. Fernando Calamante (in Radiology, Nuclear Medicine and Imaging)
  5. Alan Connelly (in Radiology, Nuclear Medicine and Imaging)

Papers from Giuseppe Scotti's perspective

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

  1. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  2. Q‐ball imaging (Magnetic Resonance in Medicine)
  3. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (Magnetic Resonance in Medicine)
  4. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  5. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
  6. “Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data (Magnetic Resonance in Medicine)
  7. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (NeuroImage)
  8. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI (Magnetic Resonance in Medicine)
  9. Looking into the functional architecture of the brain with diffusion MRI (Nature Reviews Neuroscience)
  10. Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions (IEEE Transactions on Medical Imaging)

Their papers