Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yun-Ju Shih"'
Autor:
Tai-Yuan Chen, Ching-Chung Ko, Te-Chang Wu, Li-Ching Lin, Yun-Ju Shih, Yi-Chieh Hung, Ming-Chung Chou
Publikováno v:
BMC Neuroscience, Vol 22, Iss 1, Pp 1-13 (2021)
Abstract Background Trigeminal neuralgia (TN) is the most common type of chronic neuropathic facial pain, but the etiology and pathophysiological mechanisms after treatment are still not well understood. The purpose of this study was to investigate t
Externí odkaz:
https://doaj.org/article/70e5e8d01fe74a8cb12ed387d5b3a71a
Autor:
Yan-Jen Chen, Hsun-Ping Hsieh, Kuo-Chuan Hung, Yun-Ju Shih, Sher-Wei Lim, Yu-Ting Kuo, Jeon-Hor Chen, Ching-Chung Ko
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection. The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs.MethodsFro
Externí odkaz:
https://doaj.org/article/382d270eaaea4d5392e1d203c144830e
Autor:
Yun-Ju Shih, Yan-Lin Liu, Jeon-Hor Chen, Chung-Han Ho, Cheng-Chun Yang, Tai-Yuan Chen, Te-Chang Wu, Ching-Chung Ko, Jonathan T. Zhou, Yang Zhang, Min-Ying Su
Publikováno v:
Diagnostics, Vol 12, Iss 7, p 1677 (2022)
(1) Background: Radiomics analysis of spontaneous intracerebral hemorrhages on computed tomography (CT) images has been proven effective in predicting hematoma expansion and poor neurologic outcome. In contrast, there is limited evidence on its predi
Externí odkaz:
https://doaj.org/article/93e9134798274224a7a89720717f6f06
Autor:
Yueh-Ting Tsai, Kuo-Chuan Hung, Yun-Ju Shih, Sher-Wei Lim, Cheng-Chun Yang, Yu-Ting Kuo, Jeon-Hor Chen, Ching-Chung Ko
Publikováno v:
Diagnostics, Vol 12, Iss 3, p 630 (2022)
The meta-analysis aimed to compare the preoperative apparent diffusion coefficient (ADC) values between low-grade meningiomas (LGMs) and high-grade meningiomas (HGMs). Medline, Cochrane, Scopus, and Embase databases were screened up to January 2022 f
Externí odkaz:
https://doaj.org/article/49088eaefc184e92a25c57bca9f29048
Publikováno v:
PeerJ, Vol 7, p e7757 (2019)
Background Patients with chronic kidney disease (CKD) are considered at risk of contrast-induced acute kidney injury and possible subsequent need for dialysis therapy. Computed tomography (CT) is the most commonly performed examination requiring intr
Externí odkaz:
https://doaj.org/article/a46c7fded23a4173bc225a804f9e5c4e
Autor:
Yun-Ju Shih, 施昀汝
105
Background Current strategies of systematic screening for active tuberculosis (TB) in resource-limited settings use prolonged cough or any TB symptoms as the initial screening criteria. The suboptimal sensitivity or specificity of these crit
Background Current strategies of systematic screening for active tuberculosis (TB) in resource-limited settings use prolonged cough or any TB symptoms as the initial screening criteria. The suboptimal sensitivity or specificity of these crit
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/86586017501647462127
Autor:
Yun-Ju Shih, Yan-Lin Liu, Jonathan T Zhou, Yang Zhang, Jeon-Hor Chen, Tai-Yuan Chen, Cheng-Chun Yang, Min-Ying Su
Publikováno v:
Journal of Clinical Neuroscience. 98:154-161
The aim of this study was to apply registration and three-dimensional (3D) display tools to assess the evolution of intraparenchymal hemorrhage (IPH) in patients with traumatic brain injury (TBI). We identified 109 TBI patients who had two computed t
Publikováno v:
Medicine. 101:e32272
Autor:
Yan-Jen Chen, Hsun-Ping Hsieh, Kuo-Chuan Hung, Yun-Ju Shih, Sher-Wei Lim, Yu-Ting Kuo, Jeon-Hor Chen, Ching-Chung Ko
Publikováno v:
Frontiers in oncology. 12
ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection. The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs.MethodsFro
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
A prediction model of prevalent pulmonary tuberculosis (TB) in HIV negative/unknown individuals was developed to assist systematic screening. Data from a large TB screening trial were used. A multivariable logistic regression model was developed in t