| 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 | 54 | 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 |
| Assessment of an artificial intelligence algorithm for detection of intracranial hemorrhage RA Rava, SE Seymour, ME LaQue, BA Peterson, KV Snyder, M Mokin, ... World Neurosurgery 150, e209-e217, 2021 | 41 | 2021 |
| Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients RA Rava, BA Peterson, SE Seymour, KV Snyder, M Mokin, M Waqas, ... The Neuroradiology Journal 34 (5), 408-417, 2021 | 25 | 2021 |
| Method to simulate distal flow resistance in coronary arteries in 3D printed patient specific coronary models KN Sommer, V Iyer, KK Kumamaru, RA Rava, CN Ionita 3D Printing in Medicine 6, 1-10, 2020 | 18 | 2020 |
| Performance of angiographic parametric imaging in locating infarct core in large vessel occlusion acute ischemic stroke patients RA Rava, M Mokin, KV Snyder, M Waqas, AH Siddiqui, JM Davies, ... Journal of Medical Imaging 7 (1), 016001-016001, 2020 | 18 | 2020 |
| 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 | 15 | 2020 |
| Automated collateral flow assessment in patients with acute ischemic stroke using computed tomography with artificial intelligence algorithms RA Rava, SE Seymour, KV Snyder, M Waqas, JM Davies, EI Levy, ... World Neurosurgery 155, e748-e760, 2021 | 14 | 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 |
| 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 |
| Investigation of convolutional neural networks using multiple computed tomography perfusion maps to identify infarct core in acute ischemic stroke patients RA Rava, AR Podgorsak, M Waqas, KV Snyder, M Mokin, EI Levy, ... Journal of Medical Imaging 8 (1), 014505-014505, 2021 | 10 | 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 a convolutional neural network to identify infarct core using computed tomography perfusion parameters RA Rava, AR Podgorsak, M Waqas, KV Snyder, EI Levy, JM Davies, ... Proceedings of SPIE--the International Society for Optical Engineering 11596, 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 |
| 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 |
| 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 |
