Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Camilo Bermudez"'
Autor:
Samuel Tomlinson, Chiara Conley, Camilo Bermudez, Merritt Brown, Brenda E Porter, Eric D Marsh
Publikováno v:
Frontiers in Neurology, Vol 7 (2016)
Synchronized cortical activity is implicated in both normative cognitive functioning andmany neurological disorders. For epilepsy patients with intractable seizures, irregular patterns ofsynchronization within the epileptogenic zone (EZ) is believed
Externí odkaz:
https://doaj.org/article/77aae90b4639439cbeab66e0e387bfab
Autor:
Sun, Yue, Gao, Kun, Wu, Zhengwang, Lei, Zhihao, Wei, Ying, Ma, Jun, Yang, Xiaoping, Feng, Xue, Zhao, Li, Phan, Trung Le, Shin, Jitae, Zhong, Tao, Zhang, Yu, Yu, Lequan, Li, Caizi, Basnet, Ramesh, Ahmad, M. Omair, Swamy, M. N. S., Ma, Wenao, Dou, Qi, Bui, Toan Duc, Noguera, Camilo Bermudez, Landman, Bennett, Gotlib, Ian H., Humphreys, Kathryn L., Shultz, Sarah, Li, Longchuan, Niu, Sijie, Lin, Weili, Jewells, Valerie, Li, Gang, Shen, Dinggang, Wang, Li
Publikováno v:
IEEE Transactions on Medical Imaging, 40(5), 1363-1376, 2021
To better understand early brain growth patterns in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). Deep learning-based met
Externí odkaz:
http://arxiv.org/abs/2007.02096
Akademický článek
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Autor:
Brian D. Boyd, Bennett A. Landman, Claire Ryan, Seth Christman, Sarah M. Szymkowicz, Damian Elson, Warren D. Taylor, Camilo Bermudez, Ryan Ahmed, Hakmook Kang
Publikováno v:
The American Journal of Geriatric Psychiatry. 30:1015-1025
Late-life depression (LLD) is characterized by accelerated biological aging. Accelerated brain aging, estimated from structural magnetic resonance imaging (sMRI) data by a machine learning algorithm, is associated with LLD diagnosis, poorer cognitive
Autor:
Camilo Bermudez, Timothy Lesnick, Swati More, Vijay Ramanan, David Knopman, Prashanthi Vemuri, Ronald Petersen, Jonathan Graff-Radford, John Chen
Publikováno v:
Wednesday, April 26.
Autor:
Vishwesh Nath, Shizhong Han, Camilo Bermudez, Riqiang Gao, Bennett A. Landman, Michael R. Savona, Yunqiang Chen, Yucheng Tang, Shunxing Bao, Dashan Gao, Ilwoo Lyu, Yuankai Huo
Publikováno v:
IEEE Trans Med Imaging
Body part regression is a promising new technique that enables content navigation through self-supervised learning. Using this technique, the global quantitative spatial location for each axial view slice is obtained from computed tomography (CT). Ho
Autor:
Li Zhao, Toan Duc Bui, Qi Dou, Yu Zhang, Sijie Niu, Trung Le Phan, Guannan Li, Longchuan Li, Sarah Shultz, Xiaopeng Zong, Wenao Ma, Gang Li, Yue Sun, Ying Wei, Xue Feng, Mallappa Kumara Swamy, Camilo Bermudez Noguera, Tao Zhong, Valerie Jewells, Li Wang, Weili Lin, Ramesh Basnet, Caizi Li, M. Omair Ahmad, Dinggang Shen, Zhihao Lei, Ian H. Gotlib, Kathryn L. Humphreys, Jun Ma, Bennett A. Landman, Jitae Shin, Kun Gao, Zhengwang Wu, Lequan Yu, Xiaoping Yang
Publikováno v:
IEEE Trans Med Imaging
To better understand early brain development in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). Deep learning-based methods
Autor:
Yunqiang Chen, Ho Hin Lee, Riqiang Gao, Bennett A. Landman, Yuankai Huo, Dashan Gao, Camilo Bermudez, Shunxing Bao, Yucheng Tang, Brent Savoie
Publikováno v:
Med Phys
PURPOSE: Dynamic contrast-enhanced computed tomography (CT) is widely used to provide dynamic tissue contrast for diagnostic investigation and vascular identification. However, the phase information of contrast injection is typically recorded manuall
Publikováno v:
Neurocomputing
Deep learning has achieved impressive performance across a variety of tasks, including medical image processing. However, recent research has shown that deep neural networks are susceptible to small adversarial perturbations in the image. We study th
Autor:
Cailey I. Kerley, Shikha Chaganti, Tin Q. Nguyen, Camilo Bermudez, Laurie E. Cutting, Lori L. Beason-Held, Thomas Lasko, Bennett A. Landman
Publikováno v:
Neuroinformatics
Along with the increasing availability of electronic medical record (EMR) data, phenome-wide association studies (PheWAS) and phenome-disease association studies (PheDAS) have become a prominent, first-line method of analysis for uncovering the secre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::232404a7f241c24d17b71d54c7642082
https://europepmc.org/articles/PMC9250547/
https://europepmc.org/articles/PMC9250547/