Liu J - Search Results

1

Predicting the rupture status of small middle cerebral artery aneurysms using random forest modeling.

Zhou J, Xia N, Li Q, Zheng K, Jia X, Wang H, Zhao B, Liu J, Yang Y, Chen Y. Zhou J, et al. Among authors: liu j. Front Neurol. 2022 Jul 28;13:921404. doi: 10.3389/fneur.2022.921404. eCollection 2022. Front Neurol. 2022. PMID: 35968311 Free PMC article.

2

Metabolite changes in the ipsilateral and contralateral cerebral hemispheres in rats with middle cerebral artery occlusion.

Ruan L, Wang Y, Chen SC, Zhao T, Huang Q, Hu ZL, Xia NZ, Liu JJ, Chen WJ, Zhang Y, Cheng JL, Gao HC, Yang YJ, Sun HZ. Ruan L, et al. Neural Regen Res. 2017 Jun;12(6):931-937. doi: 10.4103/1673-5374.208575. Neural Regen Res. 2017. PMID: 28761426 Free PMC article.

3

Whole-brain CT perfusion imaging using increased sampling intervals: A pilot study.

Cao G, Chen W, Sun H, Guo X, Yang Y, Tang K, Liu J. Cao G, et al. Among authors: liu j. Exp Ther Med. 2017 Sep;14(3):2643-2649. doi: 10.3892/etm.2017.4816. Epub 2017 Jul 19. Exp Ther Med. 2017. PMID: 28962207 Free PMC article.

4

Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network.

Liu J, Chen Y, Lan L, Lin B, Chen W, Wang M, Li R, Yang Y, Zhao B, Hu Z, Duan Y. Liu J, et al. Eur Radiol. 2018 Aug;28(8):3268-3275. doi: 10.1007/s00330-017-5300-3. Epub 2018 Feb 23. Eur Radiol. 2018. PMID: 29476219

5

Reply to "letter to the editor: use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological issues".

Liu J, Yang Y, Zhao B. Liu J, et al. Eur Radiol. 2019 Jun;29(6):3317-3318. doi: 10.1007/s00330-018-5795-2. Epub 2018 Nov 9. Eur Radiol. 2019. PMID: 30413954 No abstract available.

6

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. 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.

7

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: liu j. World Neurosurg. 2020 Feb;134:e75-e81. doi: 10.1016/j.wneu.2019.09.053. Epub 2019 Oct 21. World Neurosurg. 2020. PMID: 31648055

8

Influence of cancellous bone microstructure on ultrasonic attenuation: a theoretical prediction.

Liu J, Lan L, Zhou J, Yang Y. Liu J, et al. Biomed Eng Online. 2019 Oct 25;18(1):103. doi: 10.1186/s12938-019-0724-4. Biomed Eng Online. 2019. PMID: 31653267 Free PMC article.

9

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: liu j. Front Neurol. 2019 Oct 31;10:1164. doi: 10.3389/fneur.2019.01164. eCollection 2019. Front Neurol. 2019. PMID: 31736868 Free PMC article.

10

Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling.

Liu J, Xiong Y, Zhong M, Yang Y, Guo X, Tan X, Zhao B. Liu J, et al. Neurosurgery. 2020 Sep 1;87(3):523-529. doi: 10.1093/neuros/nyaa052. Neurosurgery. 2020. PMID: 32171016

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