Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Gao, Chenyu"'
Autor:
Gao, Chenyu, Kim, Michael E., Ramadass, Karthik, Kanakaraj, Praitayini, Krishnan, Aravind R., Saunders, Adam M., Newlin, Nancy R., Lee, Ho Hin, Yang, Qi, Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Barnes, Lisa L., Bennett, David A., Van Schaik, Katherine D., Archer, Derek B., Hohman, Timothy J., Jefferson, Angela L., Išgum, Ivana, Moyer, Daniel, Huo, Yuankai, Schilling, Kurt G., Zuo, Lianrui, Bao, Shunxing, Khairi, Nazirah Mohd, Li, Zhiyuan, Davatzikos, Christos, Landman, Bennett A.
Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting early detection and implementation of prevention strategies. Diffusion M
Externí odkaz:
http://arxiv.org/abs/2410.22454
Autor:
Kim, Michael E., Gao, Chenyu, Ramadass, Karthik, Kanakaraj, Praitayini, Newlin, Nancy R., Rudravaram, Gaurav, Schilling, Kurt G., Dewey, Blake E., Bennett, David A., OBryant, Sid, Barber, Robert C., Archer, Derek, Hohman, Timothy J., Bao, Shunxing, Li, Zhiyuan, Landman, Bennett A., Khairi, Nazirah Mohd, Initiative, The Alzheimers Disease Neuroimaging, Team, The HABSHD Study
Proper quality control (QC) is time consuming when working with large-scale medical imaging datasets, yet necessary, as poor-quality data can lead to erroneous conclusions or poorly trained machine learning models. Most efforts to reduce data QC time
Externí odkaz:
http://arxiv.org/abs/2409.17286
Autor:
Li, Zhiyuan, Yao, Tianyuan, Kanakaraj, Praitayini, Gao, Chenyu, Bao, Shunxing, Zuo, Lianrui, Kim, Michael E., Newlin, Nancy R., Rudravaram, Gaurav, Khairi, Nazirah M., Huo, Yuankai, Schilling, Kurt G., Kukull, Walter A., Toga, Arthur W., Archer, Derek B., Hohman, Timothy J., Landman, Bennett A.
An incomplete field-of-view (FOV) in diffusion magnetic resonance imaging (dMRI) can severely hinder the volumetric and bundle analyses of whole-brain white matter connectivity. Although existing works have investigated imputing the missing regions u
Externí odkaz:
http://arxiv.org/abs/2409.13846
Autor:
Saunders, Adam M., Kim, Michael E., Gao, Chenyu, Remedios, Lucas W., Krishnan, Aravind R., Schilling, Kurt G., O'Grady, Kristin P., Smith, Seth A., Landman, Bennett A.
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 chemical and physical changes in bra
Externí odkaz:
http://arxiv.org/abs/2409.13145
Autor:
Kim, Michael E., Ramadass, Karthik, Gao, Chenyu, Kanakaraj, Praitayini, Newlin, Nancy R., Rudravaram, Gaurav, Schilling, Kurt G., Dewey, Blake E., Archer, Derek, Hohman, Timothy J., Li, Zhiyuan, Bao, Shunxing, Landman, Bennett A., Khairi, Nazirah Mohd
Curating, processing, and combining large-scale medical imaging datasets from national studies is a non-trivial task due to the intense computation and data throughput required, variability of acquired data, and associated financial overhead. Existin
Externí odkaz:
http://arxiv.org/abs/2408.14611
Autor:
Gao, Chenyu, Bao, Shunxing, Kim, Michael, Newlin, Nancy, Kanakaraj, Praitayini, Yao, Tianyuan, Rudravaram, Gaurav, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt, Kukull, Walter, Toga, Arthur, Archer, Derek, Hohman, Timothy, Landman, Bennett, Li, Zhiyuan
Publikováno v:
Journal of Medical Imaging, Vol. 11, Issue 4, 044008 (August 2024)
Purpose: In diffusion MRI (dMRI), the volumetric and bundle analyses of whole-brain tissue microstructure and connectivity can be severely impeded by an incomplete field-of-view (FOV). This work aims to develop a method for imputing the missing slice
Externí odkaz:
http://arxiv.org/abs/2405.03652
Autor:
Yu, Tian, Li, Yunhe, Kim, Michael E., Gao, Chenyu, Yang, Qi, Cai, Leon Y., Resnick, Susane M., Beason-Held, Lori L., Moyer, Daniel C., Schilling, Kurt G., Landman, Bennett A.
Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure. However, recent advances in tractogra
Externí odkaz:
http://arxiv.org/abs/2403.18992
Autor:
Xu, Hanliang, Newlin, Nancy R., Kim, Michael E., Gao, Chenyu, Kanakaraj, Praitayini, Krishnan, Aravind R., Remedios, Lucas W., Khairi, Nazirah Mohd, Pechman, Kimberly, Archer, Derek, Hohman, Timothy J., Jefferson, Angela L., Team, The BIOCARD Study, Isgum, Ivana, Huo, Yuankai, Moyer, Daniel, Schilling, Kurt G., Landman, Bennett A.
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 across dat
Externí odkaz:
http://arxiv.org/abs/2401.06798
Autor:
Gao, Chenyu, Kim, Michael E., Lee, Ho Hin, Yang, Qi, Khairi, Nazirah Mohd, Kanakaraj, Praitayini, Newlin, Nancy R., Archer, Derek B., Jefferson, Angela L., Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Team, The BIOCARD Study, Huo, Yuankai, Van Schaik, Katherine D., Schilling, Kurt G., Moyer, Daniel, Išgum, Ivana, Landman, Bennett A.
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 expected results, from s
Externí odkaz:
http://arxiv.org/abs/2311.03500
Autor:
Krishnan, Aravind R., Xu, Kaiwen, Li, Thomas, Gao, Chenyu, Remedios, Lucas W., Kanakaraj, Praitayini, Lee, Ho Hin, Bao, Shunxing, Sandler, Kim L., Maldonado, Fabien, Isgum, Ivana, Landman, Bennett A.
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 image analysis. Harmoniz
Externí odkaz:
http://arxiv.org/abs/2309.12953