Liu J - Search Results

1

Image Quality Control in Lumbar Spine Radiography Using Enhanced U-Net Neural Networks.

Chen X, Deng Q, Wang Q, Liu X, Chen L, Liu J, Li S, Wang M, Cao G. Chen X, et al. Among authors: liu j, liu x. Front Public Health. 2022 Apr 26;10:891766. doi: 10.3389/fpubh.2022.891766. eCollection 2022. Front Public Health. 2022. PMID: 35558524 Free PMC article.

2

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.

3

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

4

Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia.

Lin L, Liu J, Deng Q, Li N, Pan J, Sun H, Quan S. Lin L, et al. Among authors: liu j. Front Public Health. 2021 Jun 15;9:663965. doi: 10.3389/fpubh.2021.663965. eCollection 2021. Front Public Health. 2021. PMID: 34211951 Free PMC article.

5

Coronary artery-bronchial artery fistula imaging characteristics and its correlation with pulmonary disease severity.

Chen Y, Lin L, Deng Q, Li N, Wang Z, Liu J, Sun H. Chen Y, et al. Among authors: liu j. Heart Vessels. 2022 Dec;37(12):2101-2106. doi: 10.1007/s00380-022-02106-y. Epub 2022 Jun 21. Heart Vessels. 2022. PMID: 35729428

6

Ratio of Injured Lung Volume Fraction in Prognosis Evaluation of Acute PQ Poisoning.

Liu J, Xiong Y, Jiang M. Liu J, et al. Biomed Res Int. 2018 Feb 13;2018:4501536. doi: 10.1155/2018/4501536. eCollection 2018. Biomed Res Int. 2018. PMID: 29651433 Free PMC article.

7

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.

8

Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique.

Xia N, Chen J, Zhan C, Jia X, Xiang Y, Chen Y, Duan Y, Lan L, Lin B, Chen C, Zhao B, Chen X, Yang Y, Liu J. Xia N, et al. Among authors: liu j. Front Neurol. 2020 Oct 29;11:538052. doi: 10.3389/fneur.2020.538052. eCollection 2020. Front Neurol. 2020. PMID: 33192969 Free PMC article.

9

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.

10

Radiomics analysis for prediction of lymph node metastasis after neoadjuvant chemotherapy based on pretreatment MRI in patients with locally advanced cervical cancer.

Liu J, Dong L, Zhang X, Wu Q, Yang Z, Zhang Y, Xu C, Wu Q, Wang M. Liu J, et al. Front Oncol. 2024 May 8;14:1376640. doi: 10.3389/fonc.2024.1376640. eCollection 2024. Front Oncol. 2024. PMID: 38779088 Free PMC article.

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