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Can Chang

Showing results (11-20 of 14) with videos related to

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Frontiers in Neurology|March 29, 2021
Net Water Uptake Calculated in Standardized and Blindly Outlined Regions of the Middle Cerebral Artery Territory Predicts the Development of Malignant Edema in Patients With Acute Large Hemispheric InfarctionHai-Bin Xu, Yu-Fei Sun, Na Luo, et al.
Journal of Neurointerventional Surgery|January 10, 2023
Predicting symptomatic intracranial hemorrhage in anterior circulation stroke patients with contrast enhancement after thrombectomy: the CAGA scoreGuo-Can Chang, Thanh N Nguyen, Jing Qiu, et al.
Scientific Reports|October 10, 2022
Contrast enhancement by location and volume is associated with long-term outcome after thrombectomy in acute ischemic strokeGuo-Can Chang, Dai-Chao Ma, Wei Li, et al.
Chinese Medical Journal|June 16, 2021
Individual mortality risk predictive system of patients with acute-on-chronic liver failure based on a random survival forest modelZhi-Qiao Zhang, Gang He, Zhao-Wen Luo, et al.
Pageof 2

Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Frontiers in Neurology|March 29, 2021
Net Water Uptake Calculated in Standardized and Blindly Outlined Regions of the Middle Cerebral Artery Territory Predicts the Development of Malignant Edema in Patients With Acute Large Hemispheric InfarctionHai-Bin Xu, Yu-Fei Sun, Na Luo, et al.
Journal of Neurointerventional Surgery|January 10, 2023
Predicting symptomatic intracranial hemorrhage in anterior circulation stroke patients with contrast enhancement after thrombectomy: the CAGA scoreGuo-Can Chang, Thanh N Nguyen, Jing Qiu, et al.
Scientific Reports|October 10, 2022
Contrast enhancement by location and volume is associated with long-term outcome after thrombectomy in acute ischemic strokeGuo-Can Chang, Dai-Chao Ma, Wei Li, et al.
Chinese Medical Journal|June 16, 2021
Individual mortality risk predictive system of patients with acute-on-chronic liver failure based on a random survival forest modelZhi-Qiao Zhang, Gang He, Zhao-Wen Luo, et al.
Pageof 2