| Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and … RA Rava, KV Snyder, M Mokin, M Waqas, X Zhang, AR Podgorsak, ... Journal of NeuroInterventional Surgery 13 (2), 130-135, 2021 | 57 | 2021 |
| Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms AR Podgorsak, RA Rava, MMS Bhurwani, AR Chandra, JM Davies, ... Journal of neurointerventional surgery 12 (4), 417-421, 2020 | 53 | 2020 |
| 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 RA Rava, KV Snyder, M Mokin, M Waqas, AB Allman, JL Senko, ... American Journal of Neuroradiology 41 (2), 206-212, 2020 | 47 | 2020 |
| Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction MMS Bhurwani, M Waqas, AR Podgorsak, KA Williams, JM Davies, ... Journal of neurointerventional surgery 12 (7), 714-719, 2020 | 43 | 2020 |
| CT artifact correction for sparse and truncated projection data using generative adversarial networks AR Podgorsak, MM Shiraz Bhurwani, CN Ionita Medical Physics 48 (2), 615-626, 2021 | 21 | 2021 |
| Realistic computer modelling of stent retriever thrombectomy: a hybrid finite-element analysis-smoothed particle hydrodynamics model SM Mousavi JS, D Faghihi, K Sommer, MMS Bhurwani, TR Patel, B Santo, ... Journal of the Royal Society Interface 18 (185), 20210583, 2021 | 16 | 2021 |
| Use of quantitative angiographic methods with a data-driven model to evaluate reperfusion status (mTICI) during thrombectomy MM Shiraz Bhurwani, KV Snyder, M Waqas, M Mokin, RA Rava, ... Neuroradiology, 1-11, 2021 | 16 | 2021 |
| Effect of computed tomography perfusion post-processing algorithms on optimal threshold selection for final infarct volume prediction RA Rava, KV Snyder, M Mokin, M Waqas, AB Allman, JL Senko, ... The neuroradiology journal 33 (4), 273-285, 2020 | 14 | 2020 |
| Use of a convolutional neural network for aneurysm identification in digital subtraction angiography AR Podgoršak, MM Bhurwani, RA Rava, AR Chandra, CN Ionita Medical imaging 2019: computer-aided diagnosis 10950, 1106-1118, 2019 | 12 | 2019 |
| Initial study of the radiomics of intracranial aneurysms using Angiographic Parametric Imaging (API) to evaluate contrast flow changes AR Chandra, AR Podgorsak, M Waqas, MMS Bhurwani, H Shallwani, ... Medical Imaging 2019: Physics of Medical Imaging 10948, 15-26, 2019 | 12 | 2019 |
| The Aneurysm Occlusion Assistant, an AI platform for real time surgical guidance of intracranial aneurysms KA Williams, AR Podgorsak, MMS Bhurwani, RA Rava, KN Sommer, ... Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | 11 | 2021 |
| Enhancing performance of a computed tomography perfusion software for improved prediction of final infarct volume in acute ischemic stroke patients RA Rava, KV Snyder, M Mokin, M Waqas, AR Podgorsak, AB Allman, ... The Neuroradiology Journal 34 (3), 222-237, 2021 | 9 | 2021 |
| Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy MMS Bhurwani, KV Snyder, M Waqas, M Mokin, RA Rava, AR Podgorsak, ... Medical Imaging 2021: Computer-Aided Diagnosis 11597, 328-336, 2021 | 9 | 2021 |
| Use of patient specific 3D printed neurovascular phantoms to simulate mechanical thrombectomy KN Sommer, MMS Bhurwani, V Tutino, A Siddiqui, J Davies, K Snyder, ... 3D Printing in Medicine 7, 1-10, 2021 | 8 | 2021 |
| Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging MMS Bhurwani, AR Podgorsak, AR Chandra, RA Rava, KV Snyder, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 584-597, 2019 | 8 | 2019 |
| Identification of infarct core and ischemic penumbra using computed tomography perfusion and deep learning MMS Bhurwani, T Boutelier, A Davis, G Gautier, D Swetz, RA Rava, ... Journal of Medical Imaging 10 (1), 014001-014001, 2023 | 6 | 2023 |
| Evaluation of challenges and limitations of mechanical thrombectomy using 3D printed neurovascular phantoms KN Sommer, MMS Bhurwani, M Mokin, CN Ionita Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and …, 2021 | 6 | 2021 |
| Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks MMS Bhurwani, M Waqas, KA Williams, RA Rava, AR Podgorsak, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 610-619, 2020 | 6 | 2020 |
| Use of 3D printed intracranial aneurysm phantoms to test the effect of flow diverters geometry on hemodynamics AB Allman, MMS Bhurwani, JL Senko, RA Rava, AR Podgorsak, S Rudin, ... Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020 | 4 | 2020 |
| Feasibility of locating infarct core with 2D angiographic parametric imaging (API) using computed tomography perfusion data RA Rava, AB Allman, MMS Bhurwani, KV Snyder, EI Levy, AH Siddiqui, ... Medical Imaging 2019: Physics of Medical Imaging 10948, 1350-1363, 2019 | 4 | 2019 |
Ciprian N. IonitaAssistant Professor, University at Buffalo, Biomedical Engineering DepartmentVerified email at buffalo.edu
