Zhang H - Search Results

1

Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institution.

Chen X, Wang Y, Shen M, Yang B, Zhou Q, Yi Y, Liu W, Zhang G, Yang G, Zhang H. Chen X, et al. Among authors: zhang g, zhang h. Eur Radiol. 2020 Sep;30(9):4985-4994. doi: 10.1007/s00330-020-06870-1. Epub 2020 Apr 26. Eur Radiol. 2020. PMID: 32337640

2

Evaluation of primary adnexal masses by 3T MRI: categorization with conventional MR imaging and diffusion-weighted imaging.

Zhang H, Zhang GF, He ZY, Li ZY, Zhu M, Zhang GX. Zhang H, et al. Among authors: zhang gf, zhang gx. J Ovarian Res. 2012 Nov 14;5(1):33. doi: 10.1186/1757-2215-5-33. J Ovarian Res. 2012. PMID: 23148860 Free PMC article.

3

Prospective evaluation of 3T MRI findings for primary adnexal lesions and comparison with the final histological diagnosis.

Zhang H, Zhang GF, He ZY, Li ZY, Zhang GX. Zhang H, et al. Among authors: zhang gf, zhang gx. Arch Gynecol Obstet. 2014 Feb;289(2):357-64. doi: 10.1007/s00404-013-2990-x. Epub 2013 Aug 10. Arch Gynecol Obstet. 2014. PMID: 23934242

4

Value of 3.0 T diffusion-weighted imaging in discriminating thecoma and fibrothecoma from other adnexal solid masses.

Zhang H, Zhang GF, Wang TP, Zhang H. Zhang H, et al. Among authors: zhang gf. J Ovarian Res. 2013 Aug 21;6(1):58. doi: 10.1186/1757-2215-6-58. J Ovarian Res. 2013. PMID: 23962187 Free PMC article.

5

Hyaluronic acid-modified magnetic iron oxide nanoparticles for MR imaging of surgically induced endometriosis model in rats.

Zhang H, Li J, Sun W, Hu Y, Zhang G, Shen M, Shi X. Zhang H, et al. Among authors: zhang g. PLoS One. 2014 Apr 10;9(4):e94718. doi: 10.1371/journal.pone.0094718. eCollection 2014. PLoS One. 2014. PMID: 24722347 Free PMC article.

6

Magnetic resonance and diffusion-weighted imaging in categorization of uterine sarcomas: correlation with pathological findings.

Zhang GF, Zhang H, Tian XM, Zhang H. Zhang GF, et al. Among authors: zhang h. Clin Imaging. 2014 Nov-Dec;38(6):836-44. doi: 10.1016/j.clinimag.2014.06.004. Epub 2014 Jun 12. Clin Imaging. 2014. PMID: 25027800

7

Intravoxel incoherent motion diffusion-weighted imaging in differentiating uterine fibroid from focal adenomyosis: initial results.

Tian T, Zhang GF, Zhang H, Liu H. Tian T, et al. Among authors: zhang gf, zhang h. Springerplus. 2016 Jan 4;5(1):9. doi: 10.1186/s40064-015-1635-x. eCollection 2016. Springerplus. 2016. PMID: 26759748 Free PMC article.

8

Folic acid-targeted iron oxide nanoparticles as contrast agents for magnetic resonance imaging of human ovarian cancer.

Zhang H, Li J, Hu Y, Shen M, Shi X, Zhang G. Zhang H, et al. Among authors: zhang g. J Ovarian Res. 2016 Mar 29;9:19. doi: 10.1186/s13048-016-0230-2. J Ovarian Res. 2016. PMID: 27025582 Free PMC article.

9

MR findings of primary ovarian granulosa cell tumor with focus on the differentiation with other ovarian sex cord-stromal tumors.

Zhang H, Zhang H, Gu S, Zhang Y, Liu X, Zhang G. Zhang H, et al. Among authors: zhang g, zhang y. J Ovarian Res. 2018 Jun 5;11(1):46. doi: 10.1186/s13048-018-0416-x. J Ovarian Res. 2018. PMID: 29871662 Free PMC article.

10

Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.

Zhang H, Mao Y, Chen X, Wu G, Liu X, Zhang P, Bai Y, Lu P, Yao W, Wang Y, Yu J, Zhang G. Zhang H, et al. Among authors: zhang p, zhang g. Eur Radiol. 2019 Jul;29(7):3358-3371. doi: 10.1007/s00330-019-06124-9. Epub 2019 Apr 8. Eur Radiol. 2019. PMID: 30963272

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