Li H - Search Results

1

Automated measurement method and tool of glomerular filtration rate using triphasic helical computed tomography images.

Li H, Janosko E, Gong J, Cai Q, Geng P, Kang Y. Li H, et al. Urology. 2011 May;77(5):1259-64. doi: 10.1016/j.urology.2010.09.029. Epub 2010 Dec 23. Urology. 2011. PMID: 21185066

2

Automatic heart positioning method in computed tomography scout images.

Li H, Liu K, Sun H, Bao N, Wang X, Tian S, Qi S, Kang Y. Li H, et al. Biomed Mater Eng. 2014;24(6):3277-86. doi: 10.3233/BME-141150. Biomed Mater Eng. 2014. PMID: 25227037

3

Fiducial markers configuration optimization in image-guided surgery.

Bao N, Chen Y, Yue Y, Li H, Cui Z, Zhuang J, Tian S, Kang Y. Bao N, et al. Among authors: li h. Biomed Mater Eng. 2014;24(6):3361-71. doi: 10.3233/BME-141159. Biomed Mater Eng. 2014. PMID: 25227046

4

Robust boundary detection of left ventricles on ultrasound images using ASM-level set method.

Zhang Y, Gao Y, Li H, Teng Y, Kang Y. Zhang Y, et al. Among authors: li h. Biomed Mater Eng. 2015;26 Suppl 1:S1291-6. doi: 10.3233/BME-151427. Biomed Mater Eng. 2015. PMID: 26405890

5

Fast axial and lateral displacement estimation in myocardial elastography based on RF signals with predictions.

Zhang Y, Sun T, Teng Y, Li H, Kang Y. Zhang Y, et al. Among authors: li h. Biomed Mater Eng. 2015;26 Suppl 1:S1633-9. doi: 10.3233/BME-151462. Biomed Mater Eng. 2015. PMID: 26405928

6

A renal vascular compartment segmentation method based on dynamic contrast-enhanced images.

Li H, Bao N, Xu X, Zhang Y, Jin S, Jin Y, Sun H. Li H, et al. Technol Health Care. 2016 Apr 29;24 Suppl 2:S631-9. doi: 10.3233/THC-161190. Technol Health Care. 2016. PMID: 27163326

7

Automated fiducial marker detection and fiducial point localization in CT images for lung biopsy image-guided surgery systems.

Bao N, Li A, Zhao W, Cui Z, Tian X, Yue Y, Li H, Qian W. Bao N, et al. Among authors: li h, li a. J Xray Sci Technol. 2019;27(3):417-429. doi: 10.3233/XST-180464. J Xray Sci Technol. 2019. PMID: 30958321

8

Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI.

Li H, Sun H, Liu S, Zhang W, Arukalam FM, Ma H, Qian W. Li H, et al. J Magn Reson Imaging. 2019 Aug;50(2):465-473. doi: 10.1002/jmri.26646. Epub 2019 Jan 28. J Magn Reson Imaging. 2019. PMID: 30688398

9

Breast Cancer Segmentation Methods: Current Status and Future Potentials.

Michael E, Ma H, Li H, Kulwa F, Li J. Michael E, et al. Among authors: li j, li h. Biomed Res Int. 2021 Jul 20;2021:9962109. doi: 10.1155/2021/9962109. eCollection 2021. Biomed Res Int. 2021. PMID: 34337066 Free PMC article. Review.

10

A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation.

Zhang J, Li C, Kulwa F, Zhao X, Sun C, Li Z, Jiang T, Li H, Qi S. Zhang J, et al. Among authors: li c, li z, li h. Biomed Res Int. 2020 Jul 7;2020:4621403. doi: 10.1155/2020/4621403. eCollection 2020. Biomed Res Int. 2020. PMID: 32724802 Free PMC article.

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