| 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, 2019 | 67 | 2019 |
| 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 | 65 | 2021 |
| 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 | 56 | 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 | 54 | 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 | 27 | 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 | 21 | 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 | 19 | 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 | 17 | 2020 |
| 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 | 14 | 2021 |
| 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 | 14 | 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 | 12 | 2021 |
| 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 |
| 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, ... Proceedings of SPIE--the International Society for Optical Engineering 11597 …, 2021 | 10 | 2021 |
| 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 | 9 | 2023 |
| 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 |
| 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 | 7 | 2020 |
| Barium sulfate and pigment admixture for photoacoustic and x-ray contrast imaging of the gut HI Kilian, H Zhang, MM Shiraz Bhurwani, AM Nilam, D Seong, M Jeon, ... Journal of Biomedical Optics 28 (8), 082803-082803, 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 |
| Enhancing cerebral vasculature analysis with pathlength‐corrected 2D angiographic parametric imaging: A feasibility study A Shields, K Williams, MMS Bhurwani, SV Setlur Nagesh, VK Chivukula, ... Medical Physics 51 (4), 2633-2647, 2024 | 5 | 2024 |
Ciprian N. IonitaAssociate Professor, University at Buffalo, Biomedical Engineering Department在 buffalo.edu 的电子邮件经过验证