| Applications of deep learning to neuro-imaging techniques G Zhu, B Jiang, L Tong, Y Xie, G Zaharchuk, M Wintermark Frontiers in neurology 10, 869, 2019 | 162 | 2019 |
| Use of deep learning to predict final ischemic stroke lesions from initial magnetic resonance imaging Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ... JAMA network open 3 (3), e200772-e200772, 2020 | 144 | 2020 |
| Use of gradient boosting machine learning to predict patient outcome in acute ischemic stroke on the basis of imaging, demographic, and clinical information Y Xie, B Jiang, E Gong, Y Li, G Zhu, P Michel, M Wintermark, G Zaharchuk American Journal of Roentgenology 212 (1), 44-51, 2019 | 103 | 2019 |
| Deep learning detection of penumbral tissue on arterial spin labeling in stroke K Wang, Q Shou, SJ Ma, D Liebeskind, XJ Qiao, J Saver, N Salamon, ... Stroke 51 (2), 489-497, 2020 | 49 | 2020 |
| Tissue at risk and ischemic core estimation using deep learning in acute stroke Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, S Christensen, MP Marks, ... American Journal of Neuroradiology 42 (6), 1030-1037, 2021 | 24 | 2021 |
| Prediction of clinical outcome in patients with large-vessel acute ischemic stroke: performance of machine learning versus SPAN-100 B Jiang, G Zhu, Y Xie, JJ Heit, H Chen, Y Li, V Ding, A Eskandari, ... American Journal of Neuroradiology 42 (2), 240-246, 2021 | 21 | 2021 |
| Application of deep learning to ischemic and hemorrhagic stroke computed tomography and magnetic resonance imaging G Zhu, H Chen, B Jiang, F Chen, Y Xie, M Wintermark Seminars in Ultrasound, CT and MRI 43 (2), 147-152, 2022 | 18 | 2022 |
| Artificial intelligence and stroke imaging: a west coast perspective G Zhu, B Jiang, H Chen, E Tong, Y Xie, TD Faizy, JJ Heit, G Zaharchuk, ... Neuroimaging Clinics 30 (4), 479-492, 2020 | 17 | 2020 |
| Applications of deep learning to neuro-imaging techniques. Front Neurol 2019; 10: 869 G Zhu, B Jiang, L Tong, Y Xie, G Zaharchuk, M Wintermark Epub 2019/09/03. https://doi. org/10.3389/fneur. 2019.00869 PMID: 31474928, 2019 | 7 | 2019 |
| Use of deep learning to predict final ischemic stroke lesions from initial magnetic resonance imaging. JAMA Netw Open 3 (3): e200772 Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ... | 6 | 2020 |
| Applications of deep learning to neuro-imaging techniques. Front Neurol 10: 869 G Zhu, B Jiang, L Tong, Y Xie, G Zaharchuk, M Wintermark | 5 | 2019 |
| Validation of Deep Learning Based Critical Hypoperfusion and Ischemic Core Prediction in a Multicenter External Randomized Controlled Trial Y Yu, Y Xie, S Christensen, E Gong, MG Lansberg, G Albers, G Zaharchuk STROKE 52, 2021 | | 2021 |
| Abstract P325: Validation of Deep Learning Based Critical Hypoperfusion and Ischemic Core Prediction in a Multicenter External Randomized Controlled Trial Y Yu, Y Xie, S Christensen, E Gong, MG Lansberg, G Albers, G Zaharchuk Stroke 52 (Suppl_1), AP325-AP325, 2021 | | 2021 |
| Abstract P319: Can Deep Learning Find the Ischemic Core on CT? Transfer Learning From Pre-Trained MRI-Based Networks Y Yu, S Christensen, Y Xie, E Gong, MG Lansberg, G Albers, G Zaharchuk Stroke 52 (Suppl_1), AP319-AP319, 2021 | | 2021 |
| Abstract WP79: The Value of Pre-Training for Deep Learning Acute Stroke Triaging Models Y Yu, Y Xie, E Gong, T Thamm, J Ouyang, S Christensen, M Lansberg, ... Stroke 51 (Suppl_1), AWP79-AWP79, 2020 | | 2020 |
| Deep learning based Ischemic core prediction from perfusion-weighted imaging in acute ischemic stroke Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, S Christensen, MP Marks, ... Proc. Intl. Soc. Mag. Reson. Med 28, 1648, 2020 | | 2020 |
| Deep learning-based penumbra estimation using DWI and ASL for acute ischemic stroke patients Y Xie, Y Yu, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ... JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 622-622, 2019 | | 2019 |
| Clinical validation of penumbra and ischemic core prediction from deep learning algorithm using baseline multimodal MRI in acute ischemic stroke patients: A multi-center study Y Yu, Y Xie, T Thamm, E Gong, C Huang, S Christensen, MG Lansberg, ... JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 10-11, 2019 | | 2019 |
| The feasibility of deep learning to predict final stroke lesion using baseline diffusion-weighted imaging only in non-recanalized acute ischemic stroke patients Y Yu, Y Xie, T Thamm, E Gong, S Christensen, MG Lansberg, GW Albers, ... JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 231-232, 2019 | | 2019 |
| Abstract WMP19: Prediction of Subacute Infarction in Acute Ischemic Stroke Using Baseline Multi-modal MRI and Deep Learning Y Yu, Y Xie, T Thamm, KT Chen, E Gong, G Zaharchuk Stroke 50 (Suppl_1), AWMP19-AWMP19, 2019 | | 2019 |
Greg ZaharchukStanford University在 stanford.edu 的电子邮件经过验证
