Chenyu Gao
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Explore the profile of Chenyu Gao including associated specialties, affiliations and a list of published articles.
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31
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24
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Recent Articles
1.
Schilling K, Ramadass K, Sairanen V, Kim M, Rheault F, Newlin N, et al.
Hum Brain Mapp
. 2025 Feb;
46(3):e70143.
PMID: 39935269
Head motion during diffusion magnetic resonance imaging (MRI) scans can cause numerous artifacts and biases subsequent quantification. However, a thorough characterization of motion across multiple scans, cohorts, and consortiums has...
2.
Saunders A, Kim M, Gao C, Remedios L, Krishnan A, Schilling K, et al.
Magn Reson Imaging
. 2025 Jan;
117:110322.
PMID: 39756665
While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. Changes in T1 in the brain reflect...
3.
Peterson A, Sathe A, Zaras D, Yang Y, Durant A, Deters K, et al.
Alzheimers Dement
. 2024 Dec;
21(1):e14343.
PMID: 39711105
Introduction: The effects of sex and apolipoprotein E (APOE)-Alzheimer's disease (AD) risk factors-on white matter microstructure are not well characterized. Methods: Diffusion magnetic resonance imaging data from nine well-established longitudinal...
4.
Xu H, Newlin N, Kim M, Gao C, Kanakaraj P, Krishnan A, et al.
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12926.
PMID: 39310215
Connectivity matrices derived from diffusion MRI (dMRI) provide an interpretable and generalizable way of understanding the human brain connectome. However, dMRI suffers from inter-site and between-scanner variation, which impedes analysis...
5.
Gao C, Kim M, Lee H, Yang Q, Khairi N, Kanakaraj P, et al.
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12926.
PMID: 39310214
Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimation of chronological age, and deviations from...
6.
Krishnan A, Xu K, Li T, Gao C, Remedios L, Kanakaraj P, et al.
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12926.
PMID: 39268356
The reconstruction kernel in computed tomography (CT) generation determines the texture of the image. Consistency in reconstruction kernels is important as the underlying CT texture can impact measurements during quantitative...
7.
Kim M, Lee H, Ramadass K, Gao C, Van Schaik K, Tkaczyk E, et al.
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12930.
PMID: 39220622
Mapping information from photographic images to volumetric medical imaging scans is essential for linking spaces with physical environments, such as in image-guided surgery. Current methods of accurate photographic image to...
8.
Topolnjak E, Gao C, Beason-Held L, Resnick S, Schilling K, Landman B
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12926.
PMID: 39220213
Subject head motion during the acquisition of diffusion-weighted imaging (DWI) of the brain induces artifacts and affects image quality. Information about the frequency and extent of motion could reveal which...
9.
Yu T, Li Y, Kim M, Gao C, Yang Q, Cai L, et al.
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12926.
PMID: 39220211
Diffusion MRI (dMRI) streamline tractography, the gold-standard for in vivo estimation of white matter (WM) pathways in the brain, has long been considered as a product of WM microstructure. However,...
10.
Gao C, Yang Q, Kim M, Khairi N, Cai L, Newlin N, et al.
J Med Imaging (Bellingham)
. 2024 Aug;
11(4):044007.
PMID: 39185477
Purpose: As large analyses merge data across sites, a deeper understanding of variance in statistical assessment across the sources of data becomes critical for valid analyses. Diffusion tensor imaging (DTI)...