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Mirzat Turhon
Capital Medical University - Department of Interventional Neuroradiology
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
Development and Validation of a Deep Learning Model to Predict Intracranial Aneurysm Instability: A Multicenter, Ambispective, Longitudinal Study
Number of pages: 37
Posted: 17 Apr 2023
Mirzat Turhon,
Jian Liu
,
Mengxing Li
,
Anxin Wang
,
Jiliang Huang
,
Fujunhui Zhang
,
Ying Zhang
,
Yisen Zhang
,
Kun Wang
,
Zeguang Ren
,
Tsz Lau
,
Shu Yu
,
Yin Yin
,
Chuanzhi Duan
,
Jieqing Wan
,
Zhong Wang
,
Jiasheng Yu
,
Aisha Maimaitili
,
Yan Qu
,
Lan Qin
,
Hongqi Zhang
and
Xinjian Yang
Capital Medical University - Department of Interventional Neuroradiology, Capital Medical University - Beijing Neurosurgical Institute, Capital Medical University - Department of Interventional Neuroradiology, Capital Medical University - Department of Neurology, Capital Medical University - Department of Interventional Neuroradiology, Capital Medical University - Department of Interventional Neuroradiology, Capital Medical University - Department of Interventional Neuroradiology, Capital Medical University - Department of Interventional Neuroradiology, Capital Medical University - Department of Interventional Neuroradiology, University of South Florida - Department of Neurosurgery and Brain Repair, University of South Florida - Department of Neurosurgery and Brain Repair, Capital Medical University - Beijing Neurosurgical Institute, Capital Medical University - Beijing Neurosurgical Institute, Southern Medical University - Department of Neurosurgery, Shanghai Jiao Tong University (SJTU) - Department of Neurosurgery, Soochow University - Neurosurgery & Brain and Nerve Research Laboratory, Huazhong University of Science and Technology - Department of Neurosurgery, Xinxiang Medical University - Department of Neurosurgery, Government of the People's Republic of China - Department of Neurosurgery, Capital Medical University - Beijing Neurosurgical Institute, Capital Medical University - Department of Neurosurgery and Capital Medical University - Department of Interventional Neuroradiology
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Abstract:
Intracranial aneurysm, Deep learning, Rupture risk
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