Zobrazeno 1 - 10
of 694
pro vyhledávání: '"John J Lee"'
Autor:
Ki Yun Park, John J Lee, Donna Dierker, Laura M Marple, Carl D Hacker, Jarod L Roland, Daniel S Marcus, Mikhail Milchenko, Michelle M Miller-Thomas, Tammie L Benzinger, Joshua S Shimony, Abraham Z Snyder, Eric C Leuthardt
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0236423 (2020)
BackgroundUse of functional MRI (fMRI) in pre-surgical planning is a non-invasive method for pre-operative functional mapping for patients with brain tumors, especially tumors located near eloquent cortex. Currently, this practice predominantly invol
Externí odkaz:
https://doaj.org/article/f323f55c897744ce934070b1c37fcb1a
Publikováno v:
IET Blockchain, Vol 4, Iss 2, Pp 169-184 (2024)
Abstract With an increasing affinity towards patient‐centric care, sharing real‐time sensitive data for collaboration between multiple parties with finer access control becomes critical. Most existing studies based on the blockchain technology in
Externí odkaz:
https://doaj.org/article/686b5c4dab1e4463ac3035e94dcb1fa2
Autor:
Ki Yun Park, Abraham Z. Snyder, Michael Olufawo, Gabriel Trevino, Patrick H. Luckett, Bidhan Lamichhane, Tao Xie, John J. Lee, Joshua S. Shimony, Eric C. Leuthardt
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103476- (2023)
Glioblastoma, a highly aggressive form of brain tumor, is a brain-wide disease. We evaluated the impact of tumor burden on whole brain resting-state functional magnetic resonance imaging (rs-fMRI) activity. Specifically, we analyzed rs-fMRI signals i
Externí odkaz:
https://doaj.org/article/01c58dd38540433fb1a628c85126c6bd
Autor:
Patrick H. Luckett, John J. Lee, Ki Yun Park, Ryan V. Raut, Karin L. Meeker, Evan M. Gordon, Abraham Z. Snyder, Beau M. Ances, Eric C. Leuthardt, Joshua S. Shimony
Publikováno v:
Frontiers in Neurology, Vol 13 (2023)
IntroductionResting state functional MRI (RS-fMRI) is currently used in numerous clinical and research settings. The localization of resting state networks (RSNs) has been utilized in applications ranging from group analysis of neurodegenerative dise
Externí odkaz:
https://doaj.org/article/b54ac79f2f484c189520bf9251ea15ac
Autor:
Patrick H. Luckett, Ki Yun Park, John J. Lee, Eric J. Lenze, Julie Loebach Wetherell, Lisa T. Eyler, Abraham Z. Snyder, Beau M. Ances, Joshua S. Shimony, Eric C. Leuthardt
Publikováno v:
Journal of Neurosurgery. :1-12
OBJECTIVE Resting-state functional MRI (RS-fMRI) enables the mapping of function within the brain and is emerging as an efficient tool for the presurgical evaluation of eloquent cortex. Models capable of reliable and precise mapping of resting-state
Autor:
John S. Chorba, Avi M. Shapiro, Le Le, John Maidens, John Prince, Steve Pham, Mia M. Kanzawa, Daniel N. Barbosa, Caroline Currie, Catherine Brooks, Brent E. White, Anna Huskin, Jason Paek, Jack Geocaris, Dinatu Elnathan, Ria Ronquillo, Roy Kim, Zenith H. Alam, Vaikom S. Mahadevan, Sophie G. Fuller, Grant W. Stalker, Sara A. Bravo, Dina Jean, John J. Lee, Medeona Gjergjindreaj, Christos G. Mihos, Steven T. Forman, Subramaniam Venkatraman, Patrick M. McCarthy, James D. Thomas
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 9 (2021)
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinical
Externí odkaz:
https://doaj.org/article/e45493abbc90480aa8c8c373ac9ed160
Autor:
Patrick Luckett, John J. Lee, Ki Yun Park, Donna Dierker, Andy G. S. Daniel, Benjamin A. Seitzman, Carl D. Hacker, Beau M. Ances, Eric C. Leuthardt, Abraham Z. Snyder, Joshua S. Shimony
Publikováno v:
Frontiers in Neurology, Vol 11 (2020)
Background: Pre-surgical functional localization of eloquent cortex with task-based functional MRI (T-fMRI) is part of the current standard of care prior to resection of brain tumors. Resting state fMRI (RS-fMRI) is an alternative method currently un
Externí odkaz:
https://doaj.org/article/ab71781533024195a23f6224eaca6165
Publikováno v:
International Journal on Computational Science & Applications. 12:1-12
The pipelined processor architecture is the best way to increase instruction-level parallelism, and thus, understanding its operation is one of the keys in computer architecture learning. To help with the leaning process, we have devised a series of
Publikováno v:
Indian Pacing and Electrophysiology Journal, Vol 17, Iss 6, Pp 163-166 (2017)
Background: Recent studies have shown that insertable cardiac monitors (ICMs) can be implanted out of the traditional hospital setting and efforts are being made to explore the feasibility of implanting these devices in a specific standardized locati
Externí odkaz:
https://doaj.org/article/c838182be6584245b0a3890e70702f41
Autor:
John F. Palma, Stephanie J. Yaung, Lijing Yao, Nalin Tikoo, Nicolas Sommer, Richard Price, Alan Nicholas, Christoph Mancao, Alex Lovejoy, John J. Lee, Christine Ju, Herbert I. Hurwitz, Johanna C. Bendell, Xiaoju Max Ma
Supplementary Figure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f0820ef485cebc980515f1becfcc42a
https://doi.org/10.1158/1078-0432.22473869.v1
https://doi.org/10.1158/1078-0432.22473869.v1