Liu J - Search Results

1

A short-term follow-up CT based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer.

Gong J, Bao X, Wang T, Liu J, Peng W, Shi J, Wu F, Gu Y. Gong J, et al. Among authors: liu j. Oncoimmunology. 2022 Jan 25;11(1):2028962. doi: 10.1080/2162402X.2022.2028962. eCollection 2022. Oncoimmunology. 2022. PMID: 35096486 Free PMC article.

2

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

Gong J, Liu J, Hao W, Nie S, Zheng B, Wang S, Peng W. Gong J, et al. Among authors: liu j. Eur Radiol. 2020 Apr;30(4):1847-1855. doi: 10.1007/s00330-019-06533-w. Epub 2019 Dec 6. Eur Radiol. 2020. PMID: 31811427

3

Volumetric segmentation of ground glass nodule based on 3D attentional cascaded residual U-Net and conditional random field.

Chen H, Liu J, Lu L, Wang T, Xu X, Chu A, Peng W, Gong J, Tang W, Gu Y. Chen H, et al. Among authors: liu j. Med Phys. 2022 Feb;49(2):1097-1107. doi: 10.1002/mp.15423. Epub 2022 Jan 13. Med Phys. 2022. PMID: 34951492

4

Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis.

Gong J, Liu J, Hao W, Nie S, Wang S, Peng W. Gong J, et al. Among authors: liu j. Phys Med Biol. 2019 Jul 5;64(13):135015. doi: 10.1088/1361-6560/ab2757. Phys Med Biol. 2019. PMID: 31167172

5

Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study.

Gong J, Liu J, Li H, Zhu H, Wang T, Hu T, Li M, Xia X, Hu X, Peng W, Wang S, Tong T, Gu Y. Gong J, et al. Among authors: liu j. Cancers (Basel). 2021 Jun 30;13(13):3300. doi: 10.3390/cancers13133300. Cancers (Basel). 2021. PMID: 34209366 Free PMC article.

6

Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules.

Gong J, Liu JY, Sun XW, Zheng B, Nie SD. Gong J, et al. Among authors: liu jy. Phys Med Biol. 2018 Feb 5;63(3):035036. doi: 10.1088/1361-6560/aaa610. Phys Med Biol. 2018. PMID: 29311420

7

Automatic detection of pulmonary nodules in CT images by incorporating 3D tensor filtering with local image feature analysis.

Gong J, Liu JY, Wang LJ, Sun XW, Zheng B, Nie SD. Gong J, et al. Among authors: liu jy. Phys Med. 2018 Feb;46:124-133. doi: 10.1016/j.ejmp.2018.01.019. Epub 2018 Feb 6. Phys Med. 2018. PMID: 29519398

8

Fusion of quantitative imaging features and serum biomarkers to improve performance of computer-aided diagnosis scheme for lung cancer: A preliminary study.

Gong J, Liu JY, Jiang YJ, Sun XW, Zheng B, Nie SD. Gong J, et al. Among authors: liu jy. Med Phys. 2018 Dec;45(12):5472-5481. doi: 10.1002/mp.13237. Epub 2018 Nov 8. Med Phys. 2018. PMID: 30317652

9

Computer-aided detection of pulmonary nodules using dynamic self-adaptive template matching and a FLDA classifier.

Gong J, Liu JY, Wang LJ, Zheng B, Nie SD. Gong J, et al. Among authors: liu jy. Phys Med. 2016 Dec;32(12):1502-1509. doi: 10.1016/j.ejmp.2016.11.001. Epub 2016 Nov 14. Phys Med. 2016. PMID: 27856118

10

Cyclin D2 promoter disrupted by t(12;22)(p13;q11.2) during transformation of chronic lymphocytic leukaemia to non-Hodgkin's lymphoma.

Qian L, Gong J, Liu J, Broome JD, Koduru PR. Qian L, et al. Among authors: liu j. Br J Haematol. 1999 Aug;106(2):477-85. doi: 10.1046/j.1365-2141.1999.01549.x. Br J Haematol. 1999. PMID: 10460609 Free article.

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