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Hong-Hsi Lee

10 papers hereh-index 141.3k citations64 works total

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

author position
  • first author7
  • middle author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • physics.med-ph7
  • physics.bio-ph2
  • physics.class-ph1
same name
  • Hong-Hsi Lee — 2 papers, h 1
  • Hong-Hsi Lee — 2 papers, h 7
  • Hong-Hsi Lee — 2 papers, h 4
  • Hong-Hsi Lee — 1 paper, h 1

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
20172025
most citedIn vivo observation and biophysical interpretation of time-dependent diffusion in human cortical gray matter

126 citations · 504 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

physics.med-ph2023★ 1 cited

Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI

Hong-Hsi Lee, Mahesh Bharath Keerthivasan, Gregory Lemberskiy +3

Random matrix theory (RMT) combined with principal component analysis has resulted in a widely used MPPCA noise mapping and denoising algorithm, that utilizes the redundancy in mul…

physics.bio-ph2023★ 19 cited

Volume electron microscopy in injured rat brain validates white matter microstructure metrics from diffusion MRI

Ricardo Coronado-Leija, Ali Abdollahzadeh, Hong-Hsi Lee +8

Biophysical modeling of diffusion MRI (dMRI) offers the exciting potential of bridging the gap between the macroscopic MRI resolution and microscopic cellular features, effectively…

physics.med-ph2023★ 23 cited

Optimization and Validation of the DESIGNER dMRI preprocessing pipeline in white matter aging

Jenny Chen, Benjamin Ades-Aron, Hong-Hsi Lee +5

Various diffusion MRI (dMRI) preprocessing pipelines are currently available to yield more accurate diffusion parameters. Here, we evaluated accuracy and robustness of the optimize…

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