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Items: 10

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
4.

Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.

Podgorsak AR, Venkataraman AC, Nagesh SVS, Bednarek DR, Rudin S, Siddiqui A, Ionita CN.

Proc SPIE Int Soc Opt Eng. 2018 Feb;10578. pii: 105780L. doi: 10.1117/12.2292564. Epub 2018 Mar 12.

5.

Use of a CMOS-based micro-CT system to validate a ring artifact correction algorithm on low-dose image data.

Podgorsak AR, Nagesh SVS, Bednarek D, Rudin S, Ionita CN.

Proc SPIE Int Soc Opt Eng. 2018 Feb;10573. pii: 105733I. doi: 10.1117/12.2292581. Epub 2018 Mar 9.

6.

Design Optimization for Accurate Flow Simulations in 3D Printed Vascular Phantoms Derived from Computed Tomography Angiography.

Sommer K, Izzo RL, Shepard L, Podgorsak AR, Rudin S, Siddiqui AH, Wilson MF, Angel E, Said Z, Springer M, Ionita CN.

Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10138. pii: 101380R. doi: 10.1117/12.2253711. Epub 2017 Mar 13.

7.

Initial Simulated FFR Investigation Using Flow Measurements in Patient-specific 3D Printed Coronary Phantoms.

Shepard L, Sommer K, Izzo R, Podgorsak A, Wilson M, Said Z, Rybicki FJ, Mitsouras D, Rudin S, Angel E, Ionita CN.

Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10138. pii: 101380S. doi: 10.1117/12.2253889. Epub 2017 Mar 13.

8.

Implementation of material decomposition using an EMCCD and CMOS-based micro-CT system.

Podgorsak AR, Nagesh SS, Bednarek DR, Rudin S, Ionita CN.

Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10137. pii: 1013714. doi: 10.1117/12.2253892. Epub 2017 Mar 13.

9.

Investigation of signal thresholding to reduce the effects of instrument noise of an EMCCD based micro-CT system.

Podgorsak AR, Krishnakumar SB, Nagesh SS, Bednarek DR, Rudin S, Ionita CN.

Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9788. pii: 978803. doi: 10.1117/12.2216272. Epub 2016 Mar 29.

10.

Investigation of Noise and Contrast Sensitivity of an Electron Multiplying Charge-Coupled Device (EMCCD) based Cone Beam Micro-CT System.

Krishnakumar SB, Podgorsak AR, Nagesh SS, Jain A, Rudin S, Bednarek DR, Ionita CN.

Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9783. pii: 97831W. doi: 10.1117/12.2216794. Epub 2016 Mar 25.

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