Chen Q - Search Results

1

Blend Sign Is a Strong Predictor of the Extent of Early Hematoma Expansion in Spontaneous Intracerebral Hemorrhage.

Zhang M, Chen J, Zhan C, Liu J, Chen Q, Xia T, Zhang T, Zhu D, Chen C, Yang Y. Zhang M, et al. Among authors: chen j, chen q, chen c. Front Neurol. 2020 May 19;11:334. doi: 10.3389/fneur.2020.00334. eCollection 2020. Front Neurol. 2020. PMID: 32508731 Free PMC article.

2

Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.

Liu J, Xu H, Chen Q, Zhang T, Sheng W, Huang Q, Song J, Huang D, Lan L, Li Y, Chen W, Yang Y. Liu J, et al. Among authors: chen q, chen w. EBioMedicine. 2019 May;43:454-459. doi: 10.1016/j.ebiom.2019.04.040. Epub 2019 May 3. EBioMedicine. 2019. PMID: 31060901 Free PMC article.

3

Comparison of Ultra-Early Hematoma Growth and Common Noncontrast Computed Tomography Features in Predicting Hematoma Enlargement in Patients with Spontaneous Intracerebral Hemorrhage.

Xiang Y, Zhang T, Li Y, Liu J, Xu H, He W, Chen Q, Yang Y. Xiang Y, et al. Among authors: chen q. World Neurosurg. 2020 Feb;134:e75-e81. doi: 10.1016/j.wneu.2019.09.053. Epub 2019 Oct 21. World Neurosurg. 2020. PMID: 31648055

4

Association Between Eosinophilic Leukocyte Count and Hematoma Expansion in Acute Spontaneous Intracerebral Hemorrhage.

Chen Q, Liu J, Xu H, He W, Li Y, Jiao L, Xiang Y, Zhan C, Chen J, Yang X, Huang S, Yang Y. Chen Q, et al. Among authors: chen j. Front Neurol. 2019 Oct 31;10:1164. doi: 10.3389/fneur.2019.01164. eCollection 2019. Front Neurol. 2019. PMID: 31736868 Free PMC article.

5

Clinical-radiomics Nomogram for Risk Estimation of Early Hematoma Expansion after Acute Intracerebral Hemorrhage.

Chen Q, Zhu D, Liu J, Zhang M, Xu H, Xiang Y, Zhan C, Zhang Y, Huang S, Yang Y. Chen Q, et al. Acad Radiol. 2021 Mar;28(3):307-317. doi: 10.1016/j.acra.2020.02.021. Epub 2020 Mar 29. Acad Radiol. 2021. PMID: 32238303

6

Radiomics for intracerebral hemorrhage: are all small hematomas benign?

Zhan C, Chen Q, Zhang M, Xiang Y, Chen J, Zhu D, Chen C, Xia T, Yang Y. Zhan C, et al. Among authors: chen j, chen q, chen c. Br J Radiol. 2021 Mar 1;94(1119):20201047. doi: 10.1259/bjr.20201047. Epub 2020 Dec 17. Br J Radiol. 2021. PMID: 33332987 Free PMC article.

7

Radiomics in Stroke Neuroimaging: Techniques, Applications, and Challenges.

Chen Q, Xia T, Zhang M, Xia N, Liu J, Yang Y. Chen Q, et al. Aging Dis. 2021 Feb 1;12(1):143-154. doi: 10.14336/AD.2020.0421. eCollection 2021 Feb. Aging Dis. 2021. PMID: 33532134 Free PMC article. Review.

8

Predicting intraventricular hemorrhage growth with a machine learning-based, radiomics-clinical model.

Zhu DQ, Chen Q, Xiang YL, Zhan CY, Zhang MY, Chen C, Zhuge QC, Chen WJ, Yang XM, Yang YJ. Zhu DQ, et al. Among authors: chen q, chen wj, chen c. Aging (Albany NY). 2021 May 4;13(9):12833-12848. doi: 10.18632/aging.202954. Epub 2021 May 4. Aging (Albany NY). 2021. PMID: 33946042 Free PMC article.

9

Dilated Optic Nerve Sheath Diameter Predicts Poor Outcome in Acute Spontaneous Intracerebral Hemorrhage.

Xu H, Li Y, Liu J, Chen Z, Chen Q, Xiang Y, Zhang M, He W, Zhuang Y, Yang Y, Chen W, Chen Y. Xu H, et al. Among authors: chen z, chen q, chen w, chen y. Cerebrovasc Dis. 2022;51(2):199-206. doi: 10.1159/000518724. Epub 2021 Sep 16. Cerebrovasc Dis. 2022. PMID: 34569518

10

Development and Validation of CCTA-based Radiomics Signature for Predicting Coronary Plaques With Rapid Progression.

Chen Q, Xie G, Tang CX, Yang L, Xu P, Gao X, Lu M, Fu Y, Huo Y, Zheng S, Tao X, Xu H, Yin X, Zhang LJ. Chen Q, et al. Circ Cardiovasc Imaging. 2023 Sep;16(9):e015340. doi: 10.1161/CIRCIMAGING.123.015340. Epub 2023 Sep 19. Circ Cardiovasc Imaging. 2023. PMID: 37725670

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