Yin H - Search Results

1

Development and Validation of a Computed Tomography-Based Model for Noninvasive Prediction of the T Stage in Gastric Cancer: Multicenter Retrospective Study.

Tao J, Liu D, Hu FB, Zhang X, Yin H, Zhang H, Zhang K, Huang Z, Yang K. Tao J, et al. Among authors: yin h. J Med Internet Res. 2024 Oct 9;26:e56851. doi: 10.2196/56851. J Med Internet Res. 2024. PMID: 39382960 Free PMC article.

2

Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant).

Huang Z, Zhang W, He D, Cui X, Tian S, Yin H, Song B. Huang Z, et al. Among authors: yin h. Medicine (Baltimore). 2020 Mar;99(10):e19428. doi: 10.1097/MD.0000000000019428. Medicine (Baltimore). 2020. PMID: 32150094 Free PMC article.

3

Differentiation of pulmonary sclerosing pneumocytoma from solid malignant pulmonary nodules by radiomic analysis on multiphasic CT.

Ni XQ, Yin HK, Fan GH, Shi D, Xu L, Jin D. Ni XQ, et al. J Appl Clin Med Phys. 2021 Feb;22(2):158-164. doi: 10.1002/acm2.13154. Epub 2020 Dec 28. J Appl Clin Med Phys. 2021. PMID: 33369106 Free PMC article.

4

A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.

Liu H, Chen Y, Zhang Y, Wang L, Luo R, Wu H, Wu C, Zhang H, Tan W, Yin H, Wang D. Liu H, et al. Among authors: yin h. Eur Radiol. 2021 Aug;31(8):5902-5912. doi: 10.1007/s00330-020-07659-y. Epub 2021 Jan 26. Eur Radiol. 2021. PMID: 33496829 Clinical Trial.

5

Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer.

Zhang W, Huang Z, Zhao J, He D, Li M, Yin H, Tian S, Zhang H, Song B. Zhang W, et al. Among authors: yin h. Ann Transl Med. 2021 Jan;9(2):134. doi: 10.21037/atm-20-7673. Ann Transl Med. 2021. PMID: 33569436 Free PMC article.

6

Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.

Zhang W, Yin H, Huang Z, Zhao J, Zheng H, He D, Li M, Tan W, Tian S, Song B. Zhang W, et al. Among authors: yin h. Cancer Med. 2021 Jun;10(12):4164-4173. doi: 10.1002/cam4.3957. Epub 2021 May 8. Cancer Med. 2021. PMID: 33963688 Free PMC article. Clinical Trial.

7

A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study.

Liu D, Zhang W, Hu F, Yu P, Zhang X, Yin H, Yang L, Fang X, Song B, Wu B, Hu J, Huang Z. Liu D, et al. Among authors: yin h. Front Oncol. 2021 Dec 3;11:777760. doi: 10.3389/fonc.2021.777760. eCollection 2021. Front Oncol. 2021. PMID: 34926287 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: yin 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

Multiphase Dual-Energy Spectral CT-Based Deep Learning Method for the Noninvasive Prediction of Head and Neck Lymph Nodes Metastasis in Patients With Papillary Thyroid Cancer.

Jin D, Ni X, Zhang X, Yin H, Zhang H, Xu L, Wang R, Fan G. Jin D, et al. Among authors: yin h. Front Oncol. 2022 Apr 20;12:869895. doi: 10.3389/fonc.2022.869895. eCollection 2022. Front Oncol. 2022. PMID: 35515110 Free PMC article.

10

A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.

Liu H, Yin H, Li J, Dong X, Zheng H, Zhang T, Yin Q, Zhang Z, Lu M, Zhang H, Wang D. Liu H, et al. Among authors: yin q, yin h. J Magn Reson Imaging. 2022 Dec;56(6):1659-1668. doi: 10.1002/jmri.28237. Epub 2022 May 19. J Magn Reson Imaging. 2022. PMID: 35587946

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