Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Furen, Xiao"'
Autor:
An-Ping Huang, Ching-Yao Yang, Furen Xiao, Shih-Hung Yang, Chang-Mu Chen, Dar-Ming Lai, Fon-Yih Tsuang
Publikováno v:
Asian Journal of Surgery, Vol 47, Iss 8, Pp 3448-3456 (2024)
Background/objective: The Tomita, revised Tokuhashi and Tokuhashi lung scores are commonly used tools to predict the survival of patients with spinal metastases and to guide decisions regarding surgical treatment. These prognostic scores, however, te
Externí odkaz:
https://doaj.org/article/72eeebee5bc948019cbe25814b06c5a4
Autor:
Chia-Jung Hsieh, Chun-Yu Wu, Yen-Heng Lin, Yu-Cheng Huang, Wen-Chi Yang, Tom Wei-Wu Chen, Wei-Li Ma, Wei-Hsin Lin, Feng-Ming Hsu, Furen Xiao, Shih-Hung Yang, Dar-Ming Lai, Chang-Mu Chen, Shin-Yi Chao, Fon-Yih Tsuang
Publikováno v:
Neurospine, Vol 20, Iss 4, Pp 1431-1442 (2023)
Objective The present study is to analyze the effects of the coronavirus disease 2019 (COVID 2019) outbreak and the subsequent lockdown on the outcomes of spinal metastasis patients. Methods The study was a retrospective analysis of data from a prosp
Externí odkaz:
https://doaj.org/article/caf470d762f140a99f4eb28a931e3a66
Publikováno v:
ACS Omega, Vol 6, Iss 30, Pp 19964-19972 (2021)
Externí odkaz:
https://doaj.org/article/ed77f2d686964ae28a0b90f0af7ab8ee
Publikováno v:
Molecules, Vol 28, Iss 8, p 3400 (2023)
A scheme for manufacturing heavy-duty rail grinding wheels with silicone-modified phenolic resin (SMPR) as a binder in the field of rail grinding is presented to improve the performance of grinding wheels. To optimize the heat resistance and mechanic
Externí odkaz:
https://doaj.org/article/545224e4a11640c5906e25ef089df061
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-7 (2020)
Abstract Although criteria for surgical treatment of acute subdural hematoma (SDH) have been proposed, interaction exists between SDH, midline shift (MLS), and intracranial pressure (ICP). Based on our half sphere finite-element model (FEM) of the su
Externí odkaz:
https://doaj.org/article/13f1f7751e6b4ca58790319cc30861a1
Publikováno v:
NeuroImage, Vol 244, Iss , Pp 118585- (2021)
We report the set-up of the Intracranial Tumor Segmentation (ICTS) dataset. This dataset was retrieved from clinical work of radiosurgery, contoured by qualified neurosurgeons and radiation oncologists. It contains contrast-enhanced T1-weighted image
Externí odkaz:
https://doaj.org/article/a32352259d944a5d920a47121d964254
Publikováno v:
Micromachines, Vol 13, Iss 12, p 2118 (2022)
High-speed rail grinding is a unique passive grinding maintenance strategy that differs from conventional grinding techniques. Its grinding behavior is dependent on the relative motion between the grinding wheel and rail; hence, it possesses great sp
Externí odkaz:
https://doaj.org/article/1ed087db2a954b21b33eed7c6339d4e6
Publikováno v:
Crystals, Vol 12, Iss 7, p 978 (2022)
High chromium and nickel indefinite chilled cast iron (ICCI), as an excellent hot roll material, is the preferred roll variety due to its good combination of surface roughness, hot crack resistance, and hot wear resistance. The microstructure and har
Externí odkaz:
https://doaj.org/article/1feb811428b142d6a9912c037481a2e1
Autor:
Siangruei Wu, Yihong Wu, Haoyun Chang, Florence T. Su, Hengchun Liao, Wanju Tseng, Chunchih Liao, Feipei Lai, Fengming Hsu, Furen Xiao
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 9180 (2021)
Semantic segmentation of medical images with deep learning models is rapidly being developed. In this study, we benchmarked state-of-the-art deep learning segmentation algorithms on our clinical stereotactic radiosurgery dataset. The dataset consists
Externí odkaz:
https://doaj.org/article/d3623995bec54978a59821eb62693d89
Publikováno v:
Metals, Vol 11, Iss 2, p 184 (2021)
Self-designed (NbTi)C nanoparticles were obtained by mechanical alloying, predispersed in Fe powder, and then added to 1045 steel to obtain modified cast steels. The microstructure of cast steels was investigated by an optical microscope, scanning el
Externí odkaz:
https://doaj.org/article/d298d3640c3a43a381ea0e4804ad2482