Mao N - Search Results

1

Radiomics Model for Predicting TP53 Status Using CT and Machine Learning Approach in Laryngeal Squamous Cell Carcinoma.

Tian R, Li Y, Jia C, Mou Y, Zhang H, Wu X, Li J, Yu G, Mao N, Song X. Tian R, et al. Among authors: mao n. Front Oncol. 2022 Apr 28;12:823428. doi: 10.3389/fonc.2022.823428. eCollection 2022. Front Oncol. 2022. PMID: 35574352 Free PMC article.

2

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: mao n. Front Oncol. 2020 Oct 16;10:564725. doi: 10.3389/fonc.2020.564725. eCollection 2020. Front Oncol. 2020. PMID: 33178593 Free PMC article.

3

Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for Identifying Benign and Malignant Breast Lesions of Sub-1 cm.

Lin F, Wang Z, Zhang K, Yang P, Ma H, Shi Y, Liu M, Wang Q, Cui J, Mao N, Xie H. Lin F, et al. Among authors: mao n. Front Oncol. 2020 Oct 30;10:573630. doi: 10.3389/fonc.2020.573630. eCollection 2020. Front Oncol. 2020. PMID: 33194677 Free PMC article.

4

[Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer].

Jia CL, Cao Y, Song Q, Zhang WB, Li JJ, Wu XX, Yu PY, Mou YK, Mao N, Song XC. Jia CL, et al. Among authors: mao n. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2020 Dec 7;55(12):1154-1161. doi: 10.3760/cma.j.cn115330-20200719-00604. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2020. PMID: 33342131 Chinese.

5

Radiomics Nomogram of DCE-MRI for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer.

Mao N, Dai Y, Lin F, Ma H, Duan S, Xie H, Zhao W, Hong N. Mao N, et al. Front Oncol. 2020 Oct 27;10:541849. doi: 10.3389/fonc.2020.541849. eCollection 2020. Front Oncol. 2020. PMID: 33381444 Free PMC article.

6

[Diagnosis and treatment of 11 cases of subperiosteal orbital abscess caused by acute sinusitis].

Cao Y, Song Q, Zhang T, Liu Z, Sun Y, Mao N, Wang H, Chen X, Song X. Cao Y, et al. Among authors: mao n. Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2021 Feb;35(2):125-130. doi: 10.13201/j.issn.2096-7993.2021.02.008. Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2021. PMID: 33540993 Free PMC article. Chinese.

7

Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for the Prediction of Neoadjuvant Chemotherapy-Insensitive Breast Cancers.

Wang Z, Lin F, Ma H, Shi Y, Dong J, Yang P, Zhang K, Guo N, Zhang R, Cui J, Duan S, Mao N, Xie H. Wang Z, et al. Among authors: mao n. Front Oncol. 2021 Feb 22;11:605230. doi: 10.3389/fonc.2021.605230. eCollection 2021. Front Oncol. 2021. PMID: 33692950 Free PMC article.

8

Radiomic Analysis of Contrast-Enhanced Mammography With Different Image Types: Classification of Breast Lesions.

Wang S, Mao N, Duan S, Li Q, Li R, Jiang T, Wang Z, Xie H, Gu Y. Wang S, et al. Among authors: mao n. Front Oncol. 2021 May 28;11:600546. doi: 10.3389/fonc.2021.600546. eCollection 2021. Front Oncol. 2021. PMID: 34123776 Free PMC article.

9

Radiomics Nomogram for Identifying Sub-1 cm Benign and Malignant Thyroid Lesions.

Wu X, Li J, Mou Y, Yao Y, Cui J, Mao N, Song X. Wu X, et al. Among authors: mao n. Front Oncol. 2021 Jun 7;11:580886. doi: 10.3389/fonc.2021.580886. eCollection 2021. Front Oncol. 2021. PMID: 34164333 Free PMC article.

10

Mammography-based radiomics for predicting the risk of breast cancer recurrence: a multicenter study.

Mao N, Yin P, Zhang H, Zhang K, Song X, Xing D, Chu T. Mao N, et al. Br J Radiol. 2021 Nov 1;94(1127):20210348. doi: 10.1259/bjr.20210348. Epub 2021 Sep 14. Br J Radiol. 2021. PMID: 34520235 Free PMC article.

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