Zhang H - Search Results

1

Deep Learning Model for the Differential Diagnosis of Nasal Polyps and Inverted Papilloma by CT Images: A Multicenter Study.

Wang Y, Liu F, Zhang H, Wang Q, Yu P, Wang J, Zhang Z, Wang G, Zhang Y, Yang Y, Mou Y, Mao N, Song X. Wang Y, et al. Among authors: zhang z, zhang h, zhang y. Acad Radiol. 2024 Dec 26:S1076-6332(24)00959-0. doi: 10.1016/j.acra.2024.12.011. Online ahead of print. Acad Radiol. 2024. PMID: 39730250

2

CT Radiomics-Based Nomogram for Predicting the Lateral Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Prospective Multicenter Study.

Dong L, Han X, Yu P, Zhang W, Wang C, Sun Q, Song F, Zhang H, Zheng G, Mao N, Song X. Dong L, et al. Among authors: zhang w, zhang h. Acad Radiol. 2023 Dec;30(12):3032-3046. doi: 10.1016/j.acra.2023.03.039. Epub 2023 May 18. Acad Radiol. 2023. PMID: 37210266

3

Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma.

Mou Y, Han X, Li J, Yu P, Wang C, Song Z, Wang X, Zhang M, Zhang H, Mao N, Song X. Mou Y, et al. Among authors: zhang m, zhang h. Acad Radiol. 2024 May;31(5):1805-1817. doi: 10.1016/j.acra.2023.11.030. Epub 2023 Dec 9. Acad Radiol. 2024. PMID: 38071100

4

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. Among authors: zhang k, zhang h. 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.

5

Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.

Li J, Wu X, Mao N, Zheng G, Zhang H, Mou Y, Jia C, Mi J, Song X. Li J, et al. Among authors: zhang h. Front Endocrinol (Lausanne). 2021 Oct 21;12:741698. doi: 10.3389/fendo.2021.741698. eCollection 2021. Front Endocrinol (Lausanne). 2021. PMID: 34745008 Free PMC article.

6

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: zhang h. Front Oncol. 2022 Apr 28;12:823428. doi: 10.3389/fonc.2022.823428. eCollection 2022. Front Oncol. 2022. PMID: 35574352 Free PMC article.

7

Radiomics Analysis of Computed Tomography for Prediction of Thyroid Capsule Invasion in Papillary Thyroid Carcinoma: A Multi-Classifier and Two-Center Study.

Wu X, Yu P, Jia C, Mao N, Che K, Li G, Zhang H, Mou Y, Song X. Wu X, et al. Among authors: zhang h. Front Endocrinol (Lausanne). 2022 May 25;13:849065. doi: 10.3389/fendo.2022.849065. eCollection 2022. Front Endocrinol (Lausanne). 2022. PMID: 35692398 Free PMC article.

8

Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter Study.

Yu P, Wu X, Li J, Mao N, Zhang H, Zheng G, Han X, Dong L, Che K, Wang Q, Li G, Mou Y, Song X. Yu P, et al. Among authors: zhang h. Front Endocrinol (Lausanne). 2022 Jun 1;13:874396. doi: 10.3389/fendo.2022.874396. eCollection 2022. Front Endocrinol (Lausanne). 2022. PMID: 35721715 Free PMC article. Clinical Trial.

9

Applying a nomogram based on preoperative CT to predict early recurrence of laryngeal squamous cell carcinoma after surgery.

Yao Y, Jia C, Zhang H, Mou Y, Wang C, Han X, Yu P, Mao N, Song X. Yao Y, et al. Among authors: zhang h. J Xray Sci Technol. 2023;31(3):435-452. doi: 10.3233/XST-221320. J Xray Sci Technol. 2023. PMID: 36806538 Clinical Trial.

10

Intra- and Peritumoral Radiomics of Contrast-Enhanced Mammography Predicts Axillary Lymph Node Metastasis in Patients With Breast Cancer: A Multicenter Study.

Wang Z, Zhang H, Lin F, Zhang R, Ma H, Shi Y, Yang P, Zhang K, Zhao F, Mao N, Xie H. Wang Z, et al. Among authors: zhang r, zhang k, zhang h. Acad Radiol. 2023 Sep;30 Suppl 2:S133-S142. doi: 10.1016/j.acra.2023.02.005. Epub 2023 Apr 21. Acad Radiol. 2023. PMID: 37088646

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