Zhang R - Search Results

1

Deep Network for the Automatic Segmentation and Quantification of Intracranial Hemorrhage on CT.

Xu J, Zhang R, Zhou Z, Wu C, Gong Q, Zhang H, Wu S, Wu G, Deng Y, Xia C, Ma J. Xu J, et al. Among authors: zhang r, zhang h. Front Neurosci. 2021 Jan 11;14:541817. doi: 10.3389/fnins.2020.541817. eCollection 2020. Front Neurosci. 2021. PMID: 33505231 Free PMC article.

2

A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis.

Xue Y, Zhang R, Deng Y, Chen K, Jiang T. Xue Y, et al. Among authors: zhang r. PLoS One. 2017 Jun 2;12(6):e0178992. doi: 10.1371/journal.pone.0178992. eCollection 2017. PLoS One. 2017. PMID: 28575070 Free PMC article.

3

Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas.

Liang S, Zhang R, Liang D, Song T, Ai T, Xia C, Xia L, Wang Y. Liang S, et al. Among authors: zhang r. Genes (Basel). 2018 Jul 30;9(8):382. doi: 10.3390/genes9080382. Genes (Basel). 2018. PMID: 30061525 Free PMC article.

4

Discrimination of smoking status by MRI based on deep learning method.

Wang S, Zhang R, Deng Y, Chen K, Xiao D, Peng P, Jiang T. Wang S, et al. Among authors: zhang r. Quant Imaging Med Surg. 2018 Dec;8(11):1113-1120. doi: 10.21037/qims.2018.12.04. Quant Imaging Med Surg. 2018. PMID: 30701165 Free PMC article.

5

Identification of benign and malignant pulmonary nodules on chest CT using improved 3D U-Net deep learning framework.

Yang K, Liu J, Tang W, Zhang H, Zhang R, Gu J, Zhu R, Xiong J, Ru X, Wu J. Yang K, et al. Among authors: zhang r, zhang h. Eur J Radiol. 2020 Aug;129:109013. doi: 10.1016/j.ejrad.2020.109013. Epub 2020 May 23. Eur J Radiol. 2020. PMID: 32505895

6

Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.

Wang M, Xia C, Huang L, Xu S, Qin C, Liu J, Cao Y, Yu P, Zhu T, Zhu H, Wu C, Zhang R, Chen X, Wang J, Du G, Zhang C, Wang S, Chen K, Liu Z, Xia L, Wang W. Wang M, et al. Among authors: zhang r, zhang c. Lancet Digit Health. 2020 Oct;2(10):e506-e515. doi: 10.1016/S2589-7500(20)30199-0. Epub 2020 Sep 22. Lancet Digit Health. 2020. PMID: 32984796 Free PMC article.

7

Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance.

Liu K, Li Q, Ma J, Zhou Z, Sun M, Deng Y, Tu W, Wang Y, Fan L, Xia C, Xiao Y, Zhang R, Liu S. Liu K, et al. Among authors: zhang r. Radiol Artif Intell. 2019 May 29;1(3):e180084. doi: 10.1148/ryai.2019180084. eCollection 2019 May. Radiol Artif Intell. 2019. PMID: 33937792 Free PMC article.

8

Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables.

Fan L, Li J, Zhang H, Yin H, Zhang R, Zhang J, Chen X. Fan L, et al. Among authors: zhang r, zhang j, zhang h. Abdom Radiol (NY). 2022 Apr;47(4):1209-1222. doi: 10.1007/s00261-021-03315-1. Epub 2022 Jan 28. Abdom Radiol (NY). 2022. PMID: 35089370 Clinical Trial.

9

Survey on deep learning for pulmonary medical imaging.

Ma J, Song Y, Tian X, Hua Y, Zhang R, Wu J. Ma J, et al. Among authors: zhang r. Front Med. 2020 Aug;14(4):450-469. doi: 10.1007/s11684-019-0726-4. Epub 2019 Dec 16. Front Med. 2020. PMID: 31840200 Review.

10

Development of a deep learning model for classifying thymoma as Masaoka-Koga stage I or II via preoperative CT images.

Yang L, Cai W, Yang X, Zhu H, Liu Z, Wu X, Lei Y, Zou J, Zeng B, Tian X, Zhang R, Luo H, Zhu Y. Yang L, et al. Among authors: zhang r. Ann Transl Med. 2020 Mar;8(6):287. doi: 10.21037/atm.2020.02.183. Ann Transl Med. 2020. PMID: 32355731 Free PMC article.

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