| For: | Li ZQ, Liu W, Luo WL, Chen SQ, Deng YP. Artificial intelligence software for assessing brain ischemic penumbra/core infarction on computed tomography perfusion: A real-world accuracy study. World J Radiol 2024; 16(8): 329-336 [PMID: 39239246 DOI: 10.4329/wjr.v16.i8.329] |
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| URL: | https://www.wjgnet.com/1949-8470/full/v16/i8/329.htm |
| Number | Citing Articles |
| 1 |
Ziying Wang, Hongqing Zhu, Bingcang Huang, Zhong Zheng, Ning Chen, Kai Chen, Ying Wang. Prompt‐enhanced multi‐task learning network for acute ischemic stroke lesion and penumbra segmentation using computed tomography perfusion scans. Medical Physics 2025; 52(7) doi: 10.1002/mp.17934
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| 2 |
Qianshi Zhang, Xu Dong, Hong Huo, Ying Zhang, Mengyun Zhang, Dongyan Wang. Comprehensive management of ischemic stroke with traditional Chinese medicine: a new exploration. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1765941
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| 3 |
Jingyan Niu, Wencai Huang, Jiani Zou. Exploratory comparative analysis of automated morphologic and perfusion features derived from one-stop computed tomography angiography and computed tomography perfusion in large unruptured intracranial aneurysms. Clinical Neurology and Neurosurgery 2026; 269 doi: 10.1016/j.clineuro.2026.109547
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