Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Jeffrey T. Duda"'
Autor:
Nicholas J. Tustison, Philip A. Cook, Andrew J. Holbrook, Hans J. Johnson, John Muschelli, Gabriel A. Devenyi, Jeffrey T. Duda, Sandhitsu R. Das, Nicholas C. Cullen, Daniel L. Gillen, Michael A. Yassa, James R. Stone, James C. Gee, Brian B. Avants
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source software libraries which house top-performing algorithms used worldwide by scientific and research communities for processing and analyzing biologi
Externí odkaz:
https://doaj.org/article/8a730c2b91564fcbbff35342a39fe8ae
Autor:
Saurabh Sihag, Lauren Massimo, Sarah E Burke, Jeffrey S Phillips, Philip Cook, Jeffrey T Duda, James C. Gee, Theodore Satterthwaite, Murray Grossman, Michael Benatar, Corey T McMillan
Publikováno v:
Alzheimer's & Dementia. 18
Autor:
Martha J. Farah, Saul Sternberg, Terry Lohrenz, Libbie Sonnier, Jeffrey T. Duda, Thomas A. Nichols, P. Read Montague, Craig T. Ramey, Yi Luo, Sharon Landesman Ramey
Publikováno v:
Journal of Cognitive Neuroscience. 33:1197-1209
Does early exposure to cognitive and linguistic stimulation impact brain structure? Or do genetic predispositions account for the co-occurrence of certain neuroanatomical phenotypes and a tendency to engage children in cognitively stimulating activit
Autor:
ABHIJIT BHATTARU, CHAITANYA S ROJULPOTE, MAHESH K VIDULA, JEFFREY T DUDA, MATTHEW MACLEAN, JAMES GEE, JANICE PIERETTI, BRIAN DRACHMAN, ADAM COHEN, SHARMILA DORBALA, WALTER WITSCHEY, PACO E BRAVO
Publikováno v:
Chest. 162:A1560-A1561
Autor:
James C. Gee, Andrew Holbrook, John Muschelli, Michael A. Yassa, James R. Stone, Hans J. Johnson, Philip A. Cook, Brian B. Avants, Jeffrey T. Duda, Sandhitsu R. Das, Nicholas J. Tustison, Daniel L. Gillen, Gabriel A. Devenyi, Nicholas C. Cullen
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports
Scientific Reports
The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source software libraries which house top-performing algorithms used worldwide by scientific and research communities for processing and analyzing biological and m
Autor:
John A. Detre, Junghoon Kim, Naomi Love Gaggi, John Whyte, Sudipto Dolui, Jeffrey T. Duda, Robin Choi, Ramon Diaz-Arrastia, Jeffrey B. Ware
Publikováno v:
J Neurotrauma
Traumatic brain injury (TBI) is a leading cause of morbidity worldwide, for which biomarkers are needed to better understand the underlying pathophysiology. Microvascular injury represents a subset of pathological mechanisms contributing to cognitive
Autor:
Jared M. Roberts, James R. Stone, Andrew Holbrook, Brian B. Avants, Daniel L. Gillen, Zachariah M. Reagh, Alzheimer’s Disease Neuroimaging Initiative, Philip A. Cook, Nicholas J. Tustison, Michael A. Yassa, Jeffrey T. Duda
Publikováno v:
J Alzheimers Dis
Longitudinal studies of development and disease in the human brain have motivated the acquisition of large neuroimaging data sets and the concomitant development of robust methodological and statistical tools for quantifying neurostructural changes.
Autor:
Suyash Mohan, Ilya M. Nasrallah, Emmanuel J. Botzolakis, R. Nick Bryan, Po-Hao Chen, Jeffrey D. Rudie, James C. Gee, Andreas M. Rauschecker, Jeffrey T. Duda, Tessa S. Cook
Publikováno v:
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications.
In this work, we present the use of Bayesian networks for radiologist decision support during clinical interpretation. This computational approach has the advantage of avoiding incorrect diagnoses that result from known human cognitive biases such as
Autor:
Zachariah M. Reagh, Jeffrey T. Duda, Cook Pa, Jared M. Roberts, Nicholas J. Tustison, Daniel L. Gillen, Andrew Holbrook, Brian B. Avants, Stone, Michael A. Yassa
Longitudinal studies of development and disease in the human brain have motivated the acquisition of large neuroimaging data sets and the concomitant development of robust methodological and statistical tools for quantifying neurostructural changes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::498cff9becb44f7bbbcf39a9b4b63f02
Publikováno v:
Developmental Science. 16:641-652
Childhood socioeconomic status (SES) predicts executive function performance and measures of prefrontal cortical function, but little is known about its anatomical correlates. Structural MRI and demographic data from a sample of 283 healthy children