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Xi Liu
Xi Liu
United Imaging
Verified email at pennmedicine.upenn.edu
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Cited by
Cited by
Year
Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function
B Qiu, Z Huang, X Liu, X Meng, Y You, G Liu, K Yang, A Maier, Q Ren, ...
Biomedical optics express 11 (2), 817-830, 2020
922020
Comparative study of deep learning models for optical coherence tomography angiography
Z Jiang, Z Huang, B Qiu, X Meng, Y You, X Liu, G Liu, C Zhou, K Yang, ...
Biomedical optics express 11 (3), 1580-1597, 2020
442020
A deep learning based pipeline for optical coherence tomography angiography
X Liu, Z Huang, Z Wang, C Wen, Z Jiang, Z Yu, J Liu, G Liu, X Huang, ...
Journal of Biophotonics 12 (10), e201900008, 2019
412019
Weakly supervised deep learning-based optical coherence tomography angiography
Z Jiang, Z Huang, B Qiu, X Meng, Y You, X Liu, M Geng, G Liu, C Zhou, ...
IEEE Transactions on Medical Imaging 40 (2), 688-698, 2020
262020
Adaptive classifier allows enhanced flow contrast in OCT angiography using a histogram-based motion threshold and 3D Hessian analysis-based shape filtering
P Li, Z Huang, S Yang, X Liu, Q Ren, P Li
Optics Letters 42 (23), 4816-4819, 2017
192017
Resolution-matched reflection mode photoacoustic microscopy and optical coherence tomography dual modality system
X Zhu, Z Huang, Z Li, W Li, X Liu, Z Chen, J Tian, C Li
Photoacoustics 19, 100188, 2020
102020
Perfusion microvessel density in the cerebral cortex of septic rats is negatively correlated with endothelial microparticles in circulating plasma
Z Wang, J Liu, X Liu, X Guo, T Li, R Pang, M Duan
Metabolic brain disease 36, 1029-1036, 2021
12021
Predicting Alzheimer’s Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data
X Liu, H Li, Y Fan
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023
2023
Asymmetric degeneration of the hippocampus predicts risk of Alzheimer’s disease
X Liu, H Li, Y Fan
Alzheimer's & Dementia 18, e066271, 2022
2022
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Articles 1–9