Follow
Yannan Yu
Yannan Yu
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
1422020
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
822017
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
802016
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
722018
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
482020
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
362018
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
332018
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
242021
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
172019
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
162022
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
152021
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
152020
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
142022
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
142021
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
142019
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
122019
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
112023
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
112016
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
112015
Absent filling of the superficial middle cerebral vein is associated with reperfusion but not parenchymal hematoma in stroke patients undergoing thrombectomy: an observational …
S Zhang, R Zhang, B Jin, Z Shi, C Li, Y Yu, Z Wang
Annals of Translational Medicine 8 (21), 2020
82020
The system can't perform the operation now. Try again later.
Articles 1–20