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1. Yang WS, Zhang SQ, Shen YQ, Wei X, Zhao LB, Xie XF, Deng L, Li XH, Lv XN, Lv FJ, Dowlatshahi D, Li Q*, Xie P*. Noncontrast Computed Tomography Makers as Predictors of Revised Hematoma Expansion in Acute Intracerebral Hemorrhage. J Am Heart Assoc. 2021 Feb 2;10(3):e018248.
2. Shen YQ#, Yang WS#, Xiong X, Li XH, Xiao ZS, Yu JL, Liu FY, Gui SW, Xie XF, Lv FJ, Zhao LB, Hu LB, Manaenko A,Xie P*, Li Q*. Integrated Multi-Omics Analysis Identifies a Novel Biomarker Associated With Prognosis in Intracerebral Hemorrhage. Oxid Med Cell Longev. 2021. Dec 14.
3. Yang WS, Shen YQ, Wei X, Zhao LB, Liu QJ, Xie XF, Zhang ZW, Deng L, Lv XN, Zhang SQ, Li XH, Li Q*, Xie P*. New Prediction Models of Functional Outcome in Acute Intracerebral Hemorrhage: The dICH Score and uICH Score [J]. Front Neurol. 2021 May 5;12:655800.
4. Yang WS, Shen YQ, Zhang XD, Zhao LB, Wei X, Xiong X, Xie XF, Li R, Deng L, Li XH, Lv XN, Lv FJ, Li Q*, Xie P*. Hydrocephalus Growth: Definition, Prevalence, Association with Poor Outcome in Acute Intracerebral Hemorrhage. Neurocrit Care. 2021 Aug;35(1):62-71.
5. Yang WS, Shen YQ, Yang X, Li XH, Xu SH, Zhao LB, Li R, Xiong X, Bai SJ, Wu QY, Manaenko A, Li Q*, Xie P*. MicroRNA transcriptomics analysis identifies dysregulated hedgehog signaling pathway in a mouse model of acute intracerebral hemorrhage exposed to hyperglycemia. J Stroke Cerebrovasc Dis. 2022 Jan 10;31(3):106281.
6. Yang WS, Liu JY, Shen YQ, Xie XF, Zhang SQ, Liu FY, Yu JL, Ma YB, Xiao ZS, Duan HW, Li Q, Chen SX, Xie P. Quantitative Imaging for Predicting Hematoma Expansion in Intracerebral Hemorrhage: A Multimodel Comparison. J Stroke Cerebrovasc Dis. 2024 Apr 22:107731.
7. Yang WS, Li Q, Li R, Liu QJ, Wang XC, Zhao LB, Xie P. Defining the Optimal Midline Shift Threshold to Predict Poor Outcome in Patients with Supratentorial Spontaneous Intracerebral Hemorrhage. Neurocrit Care. 2018 Jun;28(3):314-321.
8. Yang WS, Li R, Shen YQ, Wang XC, Liu QJ, Wang HY, Li Q, Yao GE, Xie P*. Importance of lipid ratios for predicting intracranial atherosclerotic stenosis. Lipids Health Dis. 2020 Jul 4;19(1):160. Li Q#, Yang WS#, Wang XC#, Cao D, Zhu D, Lv FJ, Liu Y, Yuan L, Zhang G, Xiong X, Li R, Hu YX, Qin XY, Xie P*. Blend sign predicts poor outcome in patients with intracerebral hemorrhage. PLoS One. 2017, 12(8): e0183082.
9. Luo S#, Yang WS#, Shen YQ, Chen P, Zhang SQ, Jia Z, Li Q, Zhao JT, Xie P. The clinical value of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and D-dimer-to-fibrinogen ratio for predicting pneumonia and poor outcomes in patients with acute intracerebral hemorrhage. Front Immunol. 2022 Oct 10;13:1037255.
10. Li XH#, Yang WS#, Shen YQ, et al. Analysis of Age-Dependent Transcriptomic Changes in Response to Intracerebral Hemorrhage in Mice. Front Mol Neurosci. 2022 May 23;15:908683.
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