Jelle Veraart

Radiology, Nuclear Medicine and Imaging · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 29 citations into it; #2,767 of 3,265 by trust here, #2,536 by citations

Whom Jelle Veraart trusts overall

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

1. Derek K. Jones
2. Alexander Leemans
3. Jacques-Donald Tournier
4. Ben Jeurissen
5. José Vicente Manjón
6. Denis Le Bihan
7. Fernando Calamante
8. L. Laloux
9. Jan Sijbers
10. Elias Kellner

Who trusts Jelle Veraart overall

1. Lucilio Cordero-Grande
2. Daan Christiaens
3. Marius Tröndle
4. Dmitry S. Novikov
5. Michael Bach
6. Vladimir Golkov
7. Jana Maria Hutter
8. Tzvetan Popov

Papers from Jelle Veraart's perspective

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

1. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (NeuroImage)
2. Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging (Magnetic Resonance in Medicine)
3. The B‐matrix must be rotated when correcting for subject motion in DTI data (Magnetic Resonance in Medicine)
4. Q‐ball imaging (Magnetic Resonance in Medicine)
5. Bootstrap Methods: Another Look at the Jackknife
6. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI (Magnetic Resonance in Medicine)
7. Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution (Human Brain Mapping)
8. ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data
9. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
10. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT) (NeuroImage)

Their papers

• Denoising of diffusion MRI using random matrix theory (2016) — 1,773 citations
• Diffusion MRI noise mapping using random matrix theory (2016) — 781 citations
• Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls (2013) — 500 citations