Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks-Reference-Cited by-同舟云学术

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Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks

Published:2020-03-16 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2020: Computer-Aided Diagnosis
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Author:

Shiraz Bhurwani Mohammad Mahdi,Waqas Mohammad,Williams Kyle A.,Rava Ryan A.,Podgorsak Alexander R.,Snyder Kenneth V.,Levy Elad I.,Davies Jason M.,Siddiqui Adnan H.,Ionita Ciprian N.

Publisher

SPIE

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the radiological outcome of cerebral aneurysm treatment with machine learning algorithms; a systematic review and diagnostic meta-analysis;Interdisciplinary Neurosurgery;2024-06

2. Leveraging patient-specific simulated angiograms to characterize cerebral aneurysm hemodynamics using computational fluid dynamics;Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging;2022-04-04

3. Quantitative angiography prognosis of intracranial aneurysm treatment failure using parametric imaging and distal vessel analysis;Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging;2022-04-04

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