Zobrazeno 1 - 10
of 499
pro vyhledávání: '"P. Kanakaraj"'
Synthesis of propellant grade HHTPB by hydrogenation of HTPB using Pd-activated charcoal as catalyst
Publikováno v:
FirePhysChem, Vol 5, Iss 1, Pp 7-14 (2025)
To derive more performance from the conventional composite propellant based on hydroxyl-terminated polybutadiene (HTPB) and ammonium perchlorate (AP), it is envisaged to hydrogenate HTPB, which increases the H/C (hydrogen to carbon ratio) of the base
Externí odkaz:
https://doaj.org/article/2c193cefa9e44fd09205780b85f07179
Autor:
Newlin, Nancy R., Schilling, Kurt, Koudoro, Serge, Chandio, Bramsh Qamar, Kanakaraj, Praitayini, Moyer, Daniel, Kelly, Claire E., Genc, Sila, Chen, Jian, Yang, Joseph Yuan-Mou, Wu, Ye, He, Yifei, Zhang, Jiawei, Zeng, Qingrun, Zhang, Fan, Adluru, Nagesh, Nath, Vishwesh, Pathak, Sudhir, Schneider, Walter, Gade, Anurag, Rathi, Yogesh, Hendriks, Tom, Vilanova, Anna, Chamberland, Maxime, Pieciak, Tomasz, Ciupek, Dominika, Vega, Antonio Tristán, Aja-Fernández, Santiago, Malawski, Maciej, Ouedraogo, Gani, Machnio, Julia, Ewert, Christian, Thompson, Paul M., Jahanshad, Neda, Garyfallidis, Eleftherios, Landman, Bennett A.
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (DW-MRI) to qualitatively identify changes in white matter microstructu
Externí odkaz:
http://arxiv.org/abs/2411.09618
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:
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:
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