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researcher

Hui Zhang

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.med-ph2
  • eess.IV1
ORCID 0000-0002-5426-2140
same name
  • Hui Zhang — 30 papers, h 19
  • Hui Zhang — 14 papers, h 13
  • Hui Zhang — 8 papers
  • Hui Zhang — 8 papers, h 11
  • Hui Zhang — 8 papers, h 52
  • Hui Zhang — 6 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedMachine-learning-informed parameter estimation improves the reliability of spinal cord diffusion MRI

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2024

Compartment-specific estimation of T2 and T2* with diffusion-PEPTIDE MRI

Ting Gong, Merlin J. Fair, Kawin Setsompop +1

We present a microstructure imaging technique for estimating compartment-specific T2 and T2* simultaneously in the human brain. Microstructure imaging with diffusion MRI (dMRI) has…

physics.med-ph2023★ 1 cited

Machine-learning-informed parameter estimation improves the reliability of spinal cord diffusion MRI

Ting Gong, Francesco Grussu, Claudia A. M. Gandini Wheeler-Kingshott +2

Purpose: We address the challenge of inaccurate parameter estimation in diffusion MRI when the signal-to-noise ratio (SNR) is very low, as in the spinal cord. The accuracy of conve…

eess.IV2022

How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?

Tobias Goodwin-Allcock, Jason McEwen, Robert Gray +2

This paper demonstrates spherical convolutional neural networks (S-CNN) offer distinct advantages over conventional fully-connected networks (FCN) at estimating scalar parameters o…

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