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Mirzat Turhon

Capital Medical University - Department of Interventional Neuroradiology

SCHOLARLY PAPERS

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Scholarly Papers (1)

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
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:

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Intracranial aneurysm, Deep learning, Rupture risk