Tan H - Search Results

1

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence.

Tan H, Gan F, Wu Y, Zhou J, Tian J, Lin Y, Wang M. Tan H, et al. Acad Radiol. 2020 Sep;27(9):1217-1225. doi: 10.1016/j.acra.2019.11.004. Epub 2019 Dec 24. Acad Radiol. 2020. PMID: 31879160

2

[Application value on localization and evaluation of sentinel lymph nodes in early-stage breast cancer with CT lymphography].

Wang PG, Tan HN, Wang B, Xiao HJ, Gao JB. Wang PG, et al. Among authors: tan hn. Zhonghua Yi Xue Za Zhi. 2017 Sep 19;97(35):2762-2765. doi: 10.3760/cma.j.issn.0376-2491.2017.35.011. Zhonghua Yi Xue Za Zhi. 2017. PMID: 28954335 Chinese.

3

Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.

Wu M, Tan H, Gao F, Hai J, Ning P, Chen J, Zhu S, Wang M, Dou S, Shi D. Wu M, et al. Among authors: tan h. Eur Radiol. 2019 Jun;29(6):2802-2811. doi: 10.1007/s00330-018-5787-2. Epub 2018 Nov 7. Eur Radiol. 2019. PMID: 30406313

4

[Relationship between one-stop CT spectral perfusion imaging parameters and expression of lymphatic microvessel density and vascular endothelial growth factor-C in axillary lymph nodes of rabbit VX2 breast cancer].

Wang B, Tan HN, Liang P, Hou P, Cui L, Gao JB. Wang B, et al. Among authors: tan hn. Zhonghua Yi Xue Za Zhi. 2019 Apr 2;99(13):1024-1027. doi: 10.3760/cma.j.issn.0376-2491.2019.13.013. Zhonghua Yi Xue Za Zhi. 2019. PMID: 30955317 Chinese.

5

Radiological and clinical findings in sclerosing adenosis of the breast.

Tan H, Zhang H, Lei Z, Fu F, Wang M. Tan H, et al. Medicine (Baltimore). 2019 Sep;98(39):e17061. doi: 10.1097/MD.0000000000017061. Medicine (Baltimore). 2019. PMID: 31574804 Free PMC article.

6

Evaluating the HER-2 status of breast cancer using mammography radiomics features.

Zhou J, Tan H, Bai Y, Li J, Lu Q, Chen R, Zhang M, Feng Q, Wang M. Zhou J, et al. Among authors: tan h. Eur J Radiol. 2019 Dec;121:108718. doi: 10.1016/j.ejrad.2019.108718. Epub 2019 Oct 22. Eur J Radiol. 2019. PMID: 31711023

7

Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer.

Tan H, Wu Y, Bao F, Zhou J, Wan J, Tian J, Lin Y, Wang M. Tan H, et al. Br J Radiol. 2020 Jul;93(1111):20191019. doi: 10.1259/bjr.20191019. Epub 2020 May 27. Br J Radiol. 2020. PMID: 32401540 Free PMC article.

8

Radiomics Signatures Based on Multiparametric MRI for the Preoperative Prediction of the HER2 Status of Patients with Breast Cancer.

Zhou J, Tan H, Li W, Liu Z, Wu Y, Bai Y, Fu F, Jia X, Feng A, Liu H, Wang M. Zhou J, et al. Among authors: tan h. Acad Radiol. 2021 Oct;28(10):1352-1360. doi: 10.1016/j.acra.2020.05.040. Epub 2020 Jul 22. Acad Radiol. 2021. PMID: 32709582

9

Annotation-efficient deep learning for automatic medical image segmentation.

Wang S, Li C, Wang R, Liu Z, Wang M, Tan H, Wu Y, Liu X, Sun H, Yang R, Liu X, Chen J, Zhou H, Ben Ayed I, Zheng H. Wang S, et al. Among authors: tan h. Nat Commun. 2021 Oct 8;12(1):5915. doi: 10.1038/s41467-021-26216-9. Nat Commun. 2021. PMID: 34625565 Free PMC article.

10

An [¹⁸F]FDG PET/3D-ultrashort echo time MRI-based radiomics model established by machine learning facilitates preoperative assessment of lymph node status in non-small cell lung cancer.

Meng N, Feng P, Yu X, Wu Y, Fu F, Li Z, Luo Y, Tan H, Yuan J, Yang Y, Wang Z, Wang M. Meng N, et al. Among authors: tan h. Eur Radiol. 2024 Jan;34(1):318-329. doi: 10.1007/s00330-023-09978-2. Epub 2023 Aug 2. Eur Radiol. 2024. PMID: 37530809

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