| 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 | 153 | 2020 |
| Defining core and penumbra in ischemic stroke: a voxel-and volume-based analysis of whole brain CT perfusion Y Yu, Q Han, X Ding, Q Chen, K Ye, S Zhang, S Yan, BCV Campbell, ... Scientific reports 6 (1), 20932, 2016 | 114 | 2016 |
| Prediction of hemorrhagic transformation severity in acute stroke from source perfusion MRI Y Yu, D Guo, M Lou, D Liebeskind, F Scalzo IEEE Transactions on Biomedical Engineering 65 (9), 2058-2065, 2017 | 86 | 2017 |
| Cerebral venous collaterals: a new fort for fighting ischemic stroke? L Tong, Z Guo, Y Ou, Y Yu, X Zhang, J Tang, JH Zhang, M Lou Progress in neurobiology 163, 172-193, 2018 | 74 | 2018 |
| 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 | 56 | 2020 |
| Association of anemia and hemoglobin decrease during acute stroke treatment with infarct growth and clinical outcome S Bellwald, R Balasubramaniam, M Nagler, MS Burri, SDA Fischer, ... PloS one 13 (9), e0203535, 2018 | 42 | 2018 |
| Middle cerebral artery geometric features are associated with plaque distribution and stroke YN Yu, ML Li, YY Xu, Y Meng, H Trieu, JP Villablanca, S Gao, F Feng, ... Neurology 91 (19), e1760-e1769, 2018 | 36 | 2018 |
| 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 | 28 | 2021 |
| Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques* MY Zhao, A Woodward, AP Fan, KT Chen, Y Yu, DY Chen, ME Moseley, ... Journal of Cerebral Blood Flow & Metabolism 42 (5), 700-717, 2022 | 23 | 2022 |
| Functional outcome prediction in acute ischemic stroke using a fused imaging and clinical deep learning model Y Liu, Y Yu, J Ouyang, B Jiang, G Yang, S Ostmeier, M Wintermark, ... Stroke 54 (9), 2316-2327, 2023 | 22 | 2023 |
| Predicting final ischemic stroke lesions from initial diffusion-weighted images using a deep neural network S Nazari-Farsani, Y Yu, RD Armindo, M Lansberg, DS Liebeskind, ... NeuroImage: Clinical 37, 103278, 2023 | 22 | 2023 |
| Early NT-ProBNP (N-terminal probrain natriuretic peptide) elevation predicts malignant edema and death after reperfusion therapy in acute ischemic stroke patients X Zhang, S Yan, W Zhong, Y Yu, M Lou Stroke 52 (2), 537-542, 2021 | 20 | 2021 |
| Predicting hypoperfusion lesion and target mismatch in stroke from diffusion-weighted MRI using deep learning Y Yu, S Christensen, J Ouyang, F Scalzo, DS Liebeskind, MG Lansberg, ... Radiology 307 (1), e220882, 2022 | 18 | 2022 |
| LSTM network for prediction of hemorrhagic transformation in acute stroke Y Yu, B Parsi, W Speier, C Arnold, M Lou, F Scalzo Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 18 | 2019 |
| Perfusion parameter thresholds that discriminate ischemic core vary with time from onset in acute ischemic stroke T Yoshie, Y Yu, H Jiang, T Honda, H Trieu, F Scalzo, JL Saver, ... American Journal of Neuroradiology 41 (10), 1809-1815, 2020 | 17 | 2020 |
| Improving ischemic stroke care with MRI and deep learning artificial intelligence Y Yu, JJ Heit, G Zaharchuk Topics in Magnetic Resonance Imaging 30 (4), 187-195, 2021 | 16 | 2021 |
| Middle cerebral artery plaque hyperintensity on T2-weighted vessel wall imaging is associated with ischemic stroke YN Yu, MW Liu, JP Villablanca, ML Li, YY Xu, S Gao, F Feng, ... American Journal of Neuroradiology 40 (11), 1886-1892, 2019 | 16 | 2019 |
| Quantitative score of the vessel morphology in middle cerebral artery atherosclerosis Y Meng, M Li, Y Yu, Y Xu, S Gao, F Feng, WH Xu Journal of the Neurological Sciences 399, 111-117, 2019 | 12 | 2019 |
| Different risk factors for poor outcome between patients with positive and negative susceptibility vessel sign S Yan, K Liu, L Tong, Y Yu, S Zhang, M Lou Journal of NeuroInterventional Surgery 8 (10), 1001-1005, 2016 | 12 | 2016 |
| Optimal magnetic resonance perfusion thresholds identifying ischemic penumbra and infarct core: A Chinese population‐based study S Zhang, H Tang, YN Yu, SQ Yan, MW Parsons, M Lou CNS Neuroscience & Therapeutics 21 (3), 289-295, 2015 | 12 | 2015 |
Fabien ScalzoAssociate Professor, Computer Science/Neurology, University of California Los Angeles (UCLA)Verified email at cs.ucla.edu
