Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Arko Barman"'
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 7, p e27449 (2021)
The global and national response to the COVID-19 pandemic has been inadequate due to a collective lack of preparation and a shortage of available tools for responding to a large-scale pandemic. By applying lessons learned to create better preventativ
Externí odkaz:
https://doaj.org/article/87eeee3710ac497090ba9cc598acc59a
Autor:
Danilo Pena, Arko Barman, Jessika Suescun, Xiaoqian Jiang, Mya C. Schiess, Luca Giancardo, the Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Alzheimer's disease (AD) is the most common neurodegenerative disorder worldwide and is one of the leading sources of morbidity and mortality in the aging population. There is a long preclinical period followed by mild cognitive impairment (MCI). Cli
Externí odkaz:
https://doaj.org/article/4333297e73e04e718f53c92ddc67a1d8
Autor:
José C. Bravo, Lierni Ugartemendia, Arko Barman, Ana B. Rodríguez, José A. Pariente, Rafael Bravo
Animal welfare has evolved during the past decades to improve not only the quality of life of laboratory animals but also the quality and reproducibility of scientific investigations. Bibliometric analysis has become an important tool to complete the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75b1690ff3e3e8d3124b90241aec0bcd
https://doi.org/10.1101/2023.03.04.531085
https://doi.org/10.1101/2023.03.04.531085
Publikováno v:
2022 IEEE Frontiers in Education Conference (FIE).
Publikováno v:
2022 IEEE Frontiers in Education Conference (FIE).
Autor:
Shujuan Meng, Thi My Linh Tran, Mingzhe Hu, PanPan Wang, Thomas Yi, Zhusi Zhong, Luoyun Wang, Braden Vogt, Zhicheng Jiao, Arko Barman, Ugur Cetintemel, Ken Chang, Dat-Thanh Nguyen, Ferdinand K. Hui, Ian Pan, Bo Xiao, Li Yang, Hao Zhou, Harrison X. Bai
Publikováno v:
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 31(11)
In this study, we developed a deep learning pipeline that detects large vessel occlusion (LVO) and predicts functional outcome based on computed tomography angiography (CTA) images to improve the management of the LVO patients.A series identifier pic
Autor:
Kendall J. Kiser, Zhao Li, Peter Y. S. Park, Sonja Stieb, Nathan S. Doyle, W. Jim Zheng, Brandon J. Wang, Hesham Elhalawani, Sara Ahmed, Abdallah S.R. Mohamed, Arko Barman, Luca Giancardo, Clifton D. Fuller
Publikováno v:
Medical Physics
This manuscript describes a dataset of thoracic cavity segmentations and discrete pleural effusion segmentations we have annotated on 402 computed tomography (CT) scans acquired from patients with non-small cell lung cancer. The segmentation of these
Publikováno v:
JMIR Medical Informatics
The global and national response to the COVID-19 pandemic has been inadequate due to a collective lack of preparation and a shortage of available tools for responding to a large-scale pandemic. By applying lessons learned to create better preventativ
UNSTRUCTURED The global and national response to the COVID-19 pandemic has been inadequate due to a collective lack of preparation and a shortage of available tools for responding to a large-scale pandemic. By applying lessons learned to create bette
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b404fc00eed87518591ddafc7de63ab
https://doi.org/10.2196/preprints.27449
https://doi.org/10.2196/preprints.27449
Publikováno v:
Journal of Digital Imaging
Automated segmentation templates can save clinicians time compared to de novo segmentation but may still take substantial time to review and correct. It has not been thoroughly investigated which automated segmentation-corrected segmentation similari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a4efd0f95b03103689ab85f95f997c9