Zobrazeno 1 - 10
of 3 391
pro vyhledávání: '"KIM, MICHAEL"'
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:
McMaster, Elyssa M., Newlin, Nancy R., Cho, Chloe, Rudravaram, Gaurav, Saunders, Adam M., Krishnan, Aravind R., Remedios, Lucas W., Kim, Michael E., Xu, Hanliang, Schilling, Kurt G., Rheault, François, Cutting, Laurie E., Landman, Bennett A.
Purpose: Diffusion weighted MRI (dMRI) and its models of neural structure provide insight into human brain organization and variations in white matter. A recent study by McMaster, et al. showed that complex graph measures of the connectome, the graph
Externí odkaz:
http://arxiv.org/abs/2409.18255
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:
Hagopian, Raffi, Strebel, Timothy, Bernatz, Simon, Myers, Gregory A, Offerman, Erik, Zuniga, Eric, Kim, Cy Y, Ng, Angie T, Iwaz, James A, Singh, Sunny P, Carey, Evan P, Kim, Michael J, Schaefer, R Spencer, Yu, Jeannie, Gentili, Amilcare, Aerts, Hugo JWL
Coronary artery calcium (CAC) is highly predictive of cardiovascular events. While millions of chest CT scans are performed annually in the United States, CAC is not routinely quantified from scans done for non-cardiac purposes. A deep learning algor
Externí odkaz:
http://arxiv.org/abs/2409.09968
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:
McMaster, Elyssa M., Newlin, Nancy R., Rudravaram, Gaurav, Saunders, Adam M., Krishnan, Aravind R., Remedios, Lucas W., Kim, Michael E., Xu, Hanliang, Archer, Derek B., Schilling, Kurt G., Rheault, François, Cutting, Laurie E., Landman, Bennett A.
To date, there has been no comprehensive study characterizing the effect of diffusion-weighted magnetic resonance imaging voxel resolution on the resulting connectome for high resolution subject data. Similarity in results improved with higher resolu
Externí odkaz:
http://arxiv.org/abs/2408.01351
Autor:
Yu, Xin, Yang, Qi, Liu, Han, Lee, Ho Hin, Tang, Yucheng, Remedios, Lucas W., Kim, Michael E., Zhang, Rendong, Bao, Shunxing, Huo, Yuankai, Moore, Ann Zenobia, Ferrucci, Luigi, Landman, Bennett A.
2D single-slice abdominal computed tomography (CT) enables the assessment of body habitus and organ health with low radiation exposure. However, single-slice data necessitates the use of 2D networks for segmentation, but these networks often struggle
Externí odkaz:
http://arxiv.org/abs/2406.12254
Estimating heterogeneous treatment effects is important to tailor treatments to those individuals who would most likely benefit. However, conditional average treatment effect predictors may often be trained on one population but possibly deployed on
Externí odkaz:
http://arxiv.org/abs/2405.18206