Li D - Search Results

1

Attention-aware fully convolutional neural network with convolutional long short-term memory network for ultrasound-based motion tracking.

Huang P, Yu G, Lu H, Liu D, Xing L, Yin Y, Kovalchuk N, Xing L, Li D. Huang P, et al. Among authors: li d. Med Phys. 2019 May;46(5):2275-2285. doi: 10.1002/mp.13510. Epub 2019 Apr 22. Med Phys. 2019. PMID: 30912590

2

Deformable registration using edge-preserving scale space for adaptive image-guided radiation therapy.

Li D, Wang H, Yin Y, Wang X. Li D, et al. J Appl Clin Med Phys. 2011 Nov 15;12(4):3527. doi: 10.1120/jacmp.v12i4.3527. J Appl Clin Med Phys. 2011. PMID: 22089007 Free PMC article.

3

Multiscale registration of medical images based on edge preserving scale space with application in image-guided radiation therapy.

Li D, Li H, Wan H, Chen J, Gong G, Wang H, Wang L, Yin Y. Li D, et al. Among authors: li h. Phys Med Biol. 2012 Aug 21;57(16):5187-204. doi: 10.1088/0031-9155/57/16/5187. Epub 2012 Jul 27. Phys Med Biol. 2012. PMID: 22842788

4

Dosimetric differences among volumetric modulated arc radiotherapy (RapidArc) plans based on different target volumes in radiotherapy of hepatocellular carcinoma.

Gong G, Yin Y, Guo Y, Liu T, Chen J, Lu J, Ma C, Sun T, Bai T, Zhang G, Li D, Wang R. Gong G, et al. Among authors: li d. J Radiat Res. 2013 Jan;54(1):182-9. doi: 10.1093/jrr/rrs068. Epub 2012 Aug 21. J Radiat Res. 2013. PMID: 22915784 Free PMC article. Clinical Trial.

5

Three-dimensional positron emission tomography image texture analysis of esophageal squamous cell carcinoma: relationship between tumor 18F-fluorodeoxyglucose uptake heterogeneity, maximum standardized uptake value, and tumor stage.

Dong X, Xing L, Wu P, Fu Z, Wan H, Li D, Yin Y, Sun X, Yu J. Dong X, et al. Among authors: li d. Nucl Med Commun. 2013 Jan;34(1):40-6. doi: 10.1097/MNM.0b013e32835ae50c. Nucl Med Commun. 2013. PMID: 23111378

6

Registration of PET and CT images based on multiresolution gradient of mutual information demons algorithm for positioning esophageal cancer patients.

Jin S, Li D, Wang H, Yin Y. Jin S, et al. Among authors: li d. J Appl Clin Med Phys. 2013 Jan 7;14(1):3931. doi: 10.1120/jacmp.v14i1.3931. J Appl Clin Med Phys. 2013. PMID: 23318381 Free PMC article.

7

A study of the anatomic changes and dosimetric consequences in adaptive CRT of non-small-cell lung cancer using deformable CT and CBCT image registration.

Ma C, Hou Y, Li H, Li D, Zhang Y, Chen S, Yin Y. Ma C, et al. Among authors: li d, li h. Technol Cancer Res Treat. 2014 Apr;13(2):95-100. doi: 10.7785/tcrt.2012.500365. Epub 2013 Aug 2. Technol Cancer Res Treat. 2014. PMID: 23919391 Free article.

8

Performance evaluations of demons and free form deformation algorithms for the liver region.

Wang H, Gong G, Wang H, Li D, Yin Y, Lu J. Wang H, et al. Among authors: li d. Technol Cancer Res Treat. 2014 Apr;13(2):101-8. doi: 10.7785/tcrt.2012.500369. Epub 2013 Aug 2. Technol Cancer Res Treat. 2014. PMID: 23919395 Free article.

9

Accelerated gradient-based free form deformable registration for online adaptive radiotherapy.

Yu G, Liang Y, Yang G, Shu H, Li B, Yin Y, Li D. Yu G, et al. Among authors: li d, li b. Phys Med Biol. 2015 Apr 7;60(7):2765-83. doi: 10.1088/0031-9155/60/7/2765. Epub 2015 Mar 13. Phys Med Biol. 2015. PMID: 25767898

10

Evaluation of Demons- and FEM-Based Registration Algorithms for Lung Cancer.

Yang J, Li D, Yin Y, Zhao F, Wang H. Yang J, et al. Among authors: li d. Technol Cancer Res Treat. 2016 Apr;15(2):275-84. doi: 10.1177/1533034615574950. Epub 2015 Mar 27. Technol Cancer Res Treat. 2016. PMID: 25817713 Free article.

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