Zhang H - Search Results

1

Two untargeted metabolomics reveals yogurt-associated metabolic alterations in women with multiple metabolic disorders from a randomized controlled study.

Du S, Chen Y, Liu X, Zhang Z, Jiang Y, Zhou Y, Zhang H, Li Q, XuemeiWang, Wang Y, Feng R. Du S, et al. Among authors: zhang z, zhang h. J Proteomics. 2022 Feb 10;252:104394. doi: 10.1016/j.jprot.2021.104394. Epub 2021 Oct 16. J Proteomics. 2022. PMID: 34666202 Clinical Trial.

2

Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer.

Zhou Y, Zhang HX, Zhang XS, Sun YF, He KB, Sang XQ, Zhu YM, Kuai ZX. Zhou Y, et al. Cancer Imaging. 2019 Jun 19;19(1):39. doi: 10.1186/s40644-019-0228-2. Cancer Imaging. 2019. PMID: 31217036 Free PMC article.

3

Histogram peritumoral enhanced features on MRI arterial phase with extracellular contrast agent can improve prediction of microvascular invasion of hepatocellular carcinoma.

Wang X, Sun Y, Zhou X, Shen Z, Zhang H, Xing J, Zhou Y. Wang X, et al. Among authors: zhang h. Quant Imaging Med Surg. 2022 Feb;12(2):1372-1384. doi: 10.21037/qims-21-499. Quant Imaging Med Surg. 2022. PMID: 35111631 Free PMC article.

4

Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.

Zhang HX, Zhang XS, Kuai ZX, Zhou Y, Sun YF, Ba ZC, He KB, Sang XQ, Yao YF, Chu CY, Zhu YM. Zhang HX, et al. Transl Oncol. 2018 Dec;11(6):1370-1378. doi: 10.1016/j.tranon.2018.08.011. Epub 2018 Sep 11. Transl Oncol. 2018. PMID: 30216762 Free PMC article.

5

Clinical prediction of microvascular invasion in hepatocellular carcinoma using an MRI-based graph convolutional network model integrated with nomogram.

Liu Y, Zhang Z, Zhang H, Wang X, Wang K, Yang R, Han P, Luan K, Zhou Y. Liu Y, et al. Among authors: zhang z, zhang h. Br J Radiol. 2024 May 7;97(1157):938-946. doi: 10.1093/bjr/tqae056. Br J Radiol. 2024. PMID: 38552308

6

Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging.

Han X, Yang H, Jin S, Sun Y, Zhang H, Shan M, Cheng W. Han X, et al. Among authors: zhang h. Cancer Med. 2023 Jan;12(2):1389-1398. doi: 10.1002/cam4.5019. Epub 2022 Jul 13. Cancer Med. 2023. PMID: 35822639 Free PMC article.

7

A Clinical Assessment of a Magnetic Resonance Computer-Aided Diagnosis System in the Detection of Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer.

Peng H, Yan S, Chen X, Hu J, Chen K, Wang P, Zhang H, Zhang X, Meng W. Peng H, et al. Among authors: zhang h, zhang x. Front Oncol. 2022 Mar 3;12:784839. doi: 10.3389/fonc.2022.784839. eCollection 2022. Front Oncol. 2022. PMID: 35311124 Free PMC article.

8

Combination of DCE-MRI and NME-DWI via Deep Neural Network for Predicting Breast Cancer Molecular Subtypes.

Ba ZC, Zhang HX, Liu AY, Zhou XX, Liu L, Wang XY, Nanding A, Sang XQ, Kuai ZX. Ba ZC, et al. Clin Breast Cancer. 2024 Jul;24(5):e417-e427. doi: 10.1016/j.clbc.2024.03.006. Epub 2024 Mar 13. Clin Breast Cancer. 2024. PMID: 38555225

9

Application of random survival forest to establish a nomogram combining clinlabomics-score and clinical data for predicting brain metastasis in primary lung cancer.

Shi Z, Chen Y, Liu A, Zeng J, Xie W, Lin X, Cheng Y, Xu H, Zhou J, Gao S, Feng C, Zhang H, Sun Y. Shi Z, et al. Among authors: zhang h. Clin Transl Oncol. 2024 Sep 3. doi: 10.1007/s12094-024-03688-x. Online ahead of print. Clin Transl Oncol. 2024. PMID: 39225959

10

An Unsupervised Deep Learning Approach for Dynamic-Exponential Intravoxel Incoherent Motion MRI Modeling and Parameter Estimation in the Liver.

Zhou XX, Wang XY, Liu EH, Zhang L, Zhang HX, Zhang XS, Zhu YM, Kuai ZX. Zhou XX, et al. J Magn Reson Imaging. 2022 Sep;56(3):848-859. doi: 10.1002/jmri.28074. Epub 2022 Jan 22. J Magn Reson Imaging. 2022. PMID: 35064945

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