Thomas Witzel

Radiology, Nuclear Medicine and Imaging · 2006–2013

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Witzel trusts overall

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

  1. Stephen M. Smith
  2. Roberto D. Pascual-Marqui
  3. Bruce Fischl
  4. A. M. Dale
  5. Mark Jenkinson
  6. Mark William Woolrich
  7. David A. Feinberg

Who trusts Thomas Witzel overall

  1. Jesper L. R. Andersson
  2. Stamatios N. Sotiropoulos
  3. Junqian Xu

Papers from Thomas Witzel's perspective

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

  1. Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo (Magnetic Resonance in Medicine)
  2. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  3. Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)
  4. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging (Magnetic Resonance in Medicine)
  5. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
  6. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters (NeuroImage)
  7. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
  8. Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi‐slice imaging (Magnetic Resonance in Medicine)
  9. Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT) (NeuroImage)
  10. Advances in functional and structural MR image analysis and implementation as FSL.

Their papers