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Items: 3

1.

Assessment of a Bayesian Vitrea CT Perfusion Analysis to Predict Final Infarct and Penumbra Volumes in Patients with Acute Ischemic Stroke: A Comparison with RAPID.

Rava RA, Snyder KV, Mokin M, Waqas M, Allman AB, Senko JL, Podgorsak AR, Shiraz Bhurwani MM, Hoi Y, Siddiqui AH, Davies JM, Levy EI, Ionita CN.

AJNR Am J Neuroradiol. 2020 Feb;41(2):206-212. doi: 10.3174/ajnr.A6395. Epub 2020 Jan 16.

PMID:
31948951
2.

Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

Shiraz Bhurwani MM, Waqas M, Podgorsak AR, Williams KA, Davies JM, Snyder K, Levy E, Siddiqui A, Ionita CN.

J Neurointerv Surg. 2019 Dec 10. pii: neurintsurg-2019-015544. doi: 10.1136/neurintsurg-2019-015544. [Epub ahead of print]

PMID:
31822594
3.

Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms.

Podgorsak AR, Rava RA, Shiraz Bhurwani MM, Chandra AR, Davies JM, Siddiqui AH, Ionita CN.

J Neurointerv Surg. 2019 Aug 23. pii: neurintsurg-2019-015214. doi: 10.1136/neurintsurg-2019-015214. [Epub ahead of print]

PMID:
31444288

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