Hong N - Search Results

1

Clinical-radiomics nomograms for pre-operative differentiation of sacral chordoma and sacral giant cell tumor based on 3D computed tomography and multiparametric magnetic resonance imaging.

Yin P, Mao N, Wang S, Sun C, Hong N. Yin P, et al. Among authors: hong n. Br J Radiol. 2019 Sep;92(1101):20190155. doi: 10.1259/bjr.20190155. Epub 2019 Jul 9. Br J Radiol. 2019. PMID: 31276426 Free PMC article.

2

Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.

Yin P, Mao N, Zhao C, Wu J, Sun C, Chen L, Hong N. Yin P, et al. Among authors: hong n. Eur Radiol. 2019 Apr;29(4):1841-1847. doi: 10.1007/s00330-018-5730-6. Epub 2018 Oct 2. Eur Radiol. 2019. PMID: 30280245

3

Computerized Image Analysis to Differentiate Benign and Malignant Breast Tumors on Magnetic Resonance Diffusion Weighted Image: A Preliminary Study.

Mao N, Wang Q, Liu M, Dong J, Xiao C, Sun N, Zhang X, Xie H, Yin P, Hong N. Mao N, et al. Among authors: hong n. J Comput Assist Tomogr. 2019 Jan/Feb;43(1):93-97. doi: 10.1097/RCT.0000000000000793. J Comput Assist Tomogr. 2019. PMID: 30371609

4

A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI.

Yin P, Mao N, Zhao C, Wu J, Chen L, Hong N. Yin P, et al. Among authors: hong n. J Magn Reson Imaging. 2019 Mar;49(3):752-759. doi: 10.1002/jmri.26238. Epub 2018 Nov 14. J Magn Reson Imaging. 2019. PMID: 30430686

5

Added Value of Radiomics on Mammography for Breast Cancer Diagnosis: A Feasibility Study.

Mao N, Yin P, Wang Q, Liu M, Dong J, Zhang X, Xie H, Hong N. Mao N, et al. Among authors: hong n. J Am Coll Radiol. 2019 Apr;16(4 Pt A):485-491. doi: 10.1016/j.jacr.2018.09.041. Epub 2018 Dec 4. J Am Coll Radiol. 2019. PMID: 30528092

6

Can clinical radiomics nomogram based on 3D multiparametric MRI features and clinical characteristics estimate early recurrence of pelvic chondrosarcoma?

Yin P, Mao N, Liu X, Sun C, Wang S, Chen L, Hong N. Yin P, et al. Among authors: hong n. J Magn Reson Imaging. 2020 Feb;51(2):435-445. doi: 10.1002/jmri.26834. Epub 2019 Jun 18. J Magn Reson Imaging. 2020. PMID: 31215096

7

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study.

Mao N, Yin P, Li Q, Wang Q, Liu M, Ma H, Dong J, Che K, Wang Z, Duan S, Zhang X, Hong N, Xie H. Mao N, et al. Among authors: hong n. Eur Radiol. 2020 Dec;30(12):6732-6739. doi: 10.1007/s00330-020-07016-z. Epub 2020 Jun 30. Eur Radiol. 2020. PMID: 32607630

8

Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors.

Yin P, Mao N, Chen H, Sun C, Wang S, Liu X, Hong N. Yin P, et al. Among authors: hong n. Front Oncol. 2020 Oct 16;10:564725. doi: 10.3389/fonc.2020.564725. eCollection 2020. Front Oncol. 2020. PMID: 33178593 Free PMC article.

9

CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors.

Liu J, Yin P, Wang S, Liu T, Sun C, Hong N. Liu J, et al. Among authors: hong n. Front Oncol. 2021 Feb 26;11:628534. doi: 10.3389/fonc.2021.628534. eCollection 2021. Front Oncol. 2021. PMID: 33718203 Free PMC article.

10

Radiomics Models for the Preoperative Prediction of Pelvic and Sacral Tumor Types: A Single-Center Retrospective Study of 795 Cases.

Yin P, Zhi X, Sun C, Wang S, Liu X, Chen L, Hong N. Yin P, et al. Among authors: hong n. Front Oncol. 2021 Sep 9;11:709659. doi: 10.3389/fonc.2021.709659. eCollection 2021. Front Oncol. 2021. PMID: 34568036 Free PMC article.

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