haizhu, xie - Search Results

Year	Number of Results
2013	1
2014	2
2015	3
2016	4
2017	2
2018	3
2019	4
2020	12
2021	12
2022	12
2023	12
2024	3

1

Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study.

Zheng T, Lin F, Li X, Chu T, Gao J, Zhang S, Li Z, Gu Y, Wang S, Zhao F, Ma H, Xie H, Xu C, Zhang H, Mao N. Zheng T, et al. Among authors: xie h. EClinicalMedicine. 2023 Mar 17;58:101913. doi: 10.1016/j.eclinm.2023.101913. eCollection 2023 Apr. EClinicalMedicine. 2023. PMID: 36969336 Free PMC article.

2

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: xie 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

3

Remission of "mistletoe sign" after treatment.

Xu X, Bai W, Ma H, Dong P, Xie H, Shi Y, Sun C, Yang J. Xu X, et al. Among authors: xie h. J Cardiovasc Comput Tomogr. 2020 Nov-Dec;14(6):e118-e119. doi: 10.1016/j.jcct.2019.08.002. Epub 2019 Aug 7. J Cardiovasc Comput Tomogr. 2020. PMID: 31409552 Free article.

4

Intra- and peritumoral radiomics for predicting malignant BiRADS category 4 breast lesions on contrast-enhanced spectral mammography: a multicenter study.

Zhang S, Shao H, Li W, Zhang H, Lin F, Zhang Q, Zhang H, Wang Z, Gao J, Zhang R, Gu Y, Wang Y, Mao N, Xie H. Zhang S, et al. Among authors: xie h. Eur Radiol. 2023 Aug;33(8):5411-5422. doi: 10.1007/s00330-023-09513-3. Epub 2023 Apr 4. Eur Radiol. 2023. PMID: 37014410

5

Altered dynamic amplitude of low-frequency fluctuations in patients with postpartum depression.

Dong F, Zhang Z, Chu T, Che K, Li Y, Gai Q, Shi Y, Ma H, Zhao F, Mao N, Xie H. Dong F, et al. Among authors: xie h. Behav Brain Res. 2022 Sep 5;433:113980. doi: 10.1016/j.bbr.2022.113980. Epub 2022 Jul 6. Behav Brain Res. 2022. PMID: 35809693

6

Pregnancy leads to changes in the brain functional network: a connectome analysis.

Chu T, Li Y, Che K, Dong F, Ma H, Shi Y, Gong P, Zhao F, Song X, Xie H, Mao N. Chu T, et al. Among authors: xie h. Brain Imaging Behav. 2022 Apr;16(2):811-819. doi: 10.1007/s11682-021-00561-1. Epub 2021 Sep 30. Brain Imaging Behav. 2022. PMID: 34590214

7

Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study.

Mao N, Zhang H, Dai Y, Li Q, Lin F, Gao J, Zheng T, Zhao F, Xie H, Xu C, Ma H. Mao N, et al. Among authors: xie h. Br J Cancer. 2023 Mar;128(5):793-804. doi: 10.1038/s41416-022-02092-y. Epub 2022 Dec 15. Br J Cancer. 2023. PMID: 36522478 Free PMC article.

8

Classification of major depression disorder via using minimum spanning tree of individual high-order morphological brain network.

Li Y, Chu T, Liu Y, Zhang H, Dong F, Gai Q, Shi Y, Ma H, Zhao F, Che K, Mao N, Xie H. Li Y, et al. Among authors: xie h. J Affect Disord. 2023 Feb 15;323:10-20. doi: 10.1016/j.jad.2022.11.029. Epub 2022 Nov 18. J Affect Disord. 2023. PMID: 36403803

9

Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI.

Gao J, Zhong X, Li W, Li Q, Shao H, Wang Z, Dai Y, Ma H, Shi Y, Zhang H, Duan S, Zhang K, Yang P, Zhao F, Zhang H, Xie H, Mao N. Gao J, et al. Among authors: xie h. J Magn Reson Imaging. 2023 Jun;57(6):1842-1853. doi: 10.1002/jmri.28464. Epub 2022 Oct 11. J Magn Reson Imaging. 2023. PMID: 36219519

10

Abnormalities of cortical structures in patients with postpartum depression: A surface-based morphometry study.

Li Y, Chu T, Che K, Dong F, Shi Y, Ma H, Zhao F, Mao N, Xie H. Li Y, et al. Among authors: xie h. Behav Brain Res. 2021 Jul 23;410:113340. doi: 10.1016/j.bbr.2021.113340. Epub 2021 May 1. Behav Brain Res. 2021. PMID: 33945830

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