| 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 |
| Simultaneous phase‐contrast MRI and PET for noninvasive quantification of cerebral blood flow and reactivity in healthy subjects and patients with cerebrovascular disease Y Ishii, T Thamm, J Guo, MM Khalighi, M Wardak, D Holley, H Gandhi, ... Journal of Magnetic Resonance Imaging 51 (1), 183-194, 2020 | 32 | 2020 |
| Contralateral hemispheric cerebral blood flow measured with arterial spin labeling can predict outcome in acute stroke T Thamm, J Guo, J Rosenberg, T Liang, MP Marks, S Christensen, HM Do, ... Stroke 50 (12), 3408-3415, 2019 | 29 | 2019 |
| 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 |
| Correction for susceptibility distortions increases the performance of arterial spin labeling in patients with cerebrovascular disease VI Madai, SZ Martin, FC von Samson‐Himmelstjerna, CX Herzig, ... Journal of Neuroimaging 26 (4), 436-444, 2016 | 20 | 2016 |
| Diagnostic and prognostic benefit of arterial spin labeling in subacute stroke T Thamm, S Zweynert, SK Piper, VI Madai, M Livne, SZ Martin, CX Herzig, ... Brain and behavior 9 (5), e01271, 2019 | 15 | 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 |
| Improved prediction of the final infarct from acute stroke neuroimaging using deep learning Y Niu, E Gong, J Xu, T Thamm, J Pauly, G Zaharchuk Proceedings of the 26th International Society for Magnetic Resonance in …, 2018 | 3 | 2018 |
| Validation of Cerebrovascular Reactivity by Arterial Spin Labeling MRI in Moyamoya Disease with Simultaneously Measured 15O-PET and Phase-contrast MRI Y Ishii, T Thamm, J Guo, MM Khalighi, M Wardak, D Holley, H Gandhi, ... Joint Annual Meeting ISMRM-ESMRMB, 2018 | 1 | 2018 |
| Nicht-invasive MRT-Perfusionsbildgebung für Diagnosestellung, Therapiemanagement und Prognoseabschätzung bei Patienten mit ischämischem Schlaganfall TF Thamm Medizinische Fakultät Charité-Universitätsmedizin Berlin, 2021 | | 2021 |
| Nicht-invasive MRT-Perfusionsbildgebung für Diagnosestellung, Therapiemanagement und Prognoseabschätzung bei Patienten mit ischämischem Schlaganfall TF Thamm | | 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 |
| Arterial spin labeling underestimates cerebral blood flow in regions with fast arrival times: a simultaneous [O-15] PET/MRI study with acetazolamide challenge Y Ishii, T Thamn, J Guo, MM Khalighi, M Wardak, JH Park, GK Steinberg, ... JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 54-55, 2019 | | 2019 |
| 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 |
| Using convolutional neural networks to predict infarct development in acute ischemic stroke patients: does reperfusion status matter? Y Xie, Y Yu, T Thamm, C Huang, E Gong, S Christensen, M Lansberg, ... Proc. Intl. Soc. Mag. Reson. Med 27, 0030, 2019 | | 2019 |
| Quantitative Cerebral Blood Flow Measured With Arterial Spin Labeling MRI in the Unaffected Hemisphere Predicts Outcome in Acute Ischemic Stroke T Thamm, J Guo, J Rosenberg, T Liang, S Christensen, MP Marks, HM Do, ... Stroke 49 (Suppl_1), A118-A118, 2018 | | 2018 |
Greg ZaharchukStanford University在 stanford.edu 的电子邮件经过验证
Greg ZaharchukStanford University在 stanford.edu 的电子邮件经过验证