Li XA - Search Results

1

Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study.

Buchanan L, Hamdan S, Zhang Y, Chen X, Li XA. Buchanan L, et al. Among authors: li xa. Front Oncol. 2023 Jan 18;13:939951. doi: 10.3389/fonc.2023.939951. eCollection 2023. Front Oncol. 2023. PMID: 36741025 Free PMC article.

2

Online adaptive replanning method for prostate radiotherapy.

Ahunbay EE, Peng C, Holmes S, Godley A, Lawton C, Li XA. Ahunbay EE, et al. Among authors: li xa. Int J Radiat Oncol Biol Phys. 2010 Aug 1;77(5):1561-72. doi: 10.1016/j.ijrobp.2009.10.013. Epub 2010 Apr 1. Int J Radiat Oncol Biol Phys. 2010. PMID: 20362401

3

Combined online and offline adaptive radiation therapy: a dosimetric feasibility study.

Yang C, Liu F, Ahunbay E, Chang YW, Lawton C, Schultz C, Wang D, Firat S, Erickson B, Li XA. Yang C, et al. Among authors: li xa. Pract Radiat Oncol. 2014 Jan-Feb;4(1):e75-83. doi: 10.1016/j.prro.2013.02.012. Epub 2013 Apr 10. Pract Radiat Oncol. 2014. PMID: 24621436

4

MRI-based IMRT planning for MR-linac: comparison between CT- and MRI-based plans for pancreatic and prostate cancers.

Prior P, Chen X, Botros M, Paulson ES, Lawton C, Erickson B, Li XA. Prior P, et al. Among authors: li xa. Phys Med Biol. 2016 May 21;61(10):3819-42. doi: 10.1088/0031-9155/61/10/3819. Epub 2016 Apr 18. Phys Med Biol. 2016. PMID: 27089554

5

Technical Note: Dose effects of 1.5 T transverse magnetic field on tissue interfaces in MRI-guided radiotherapy.

Chen X, Prior P, Chen GP, Schultz CJ, Li XA. Chen X, et al. Among authors: li xa. Med Phys. 2016 Aug;43(8):4797. doi: 10.1118/1.4959534. Med Phys. 2016. PMID: 27487897

6

Technical Note: Is bulk electron density assignment appropriate for MRI-only based treatment planning for lung cancer?

Prior P, Chen X, Gore E, Johnstone C, Li XA. Prior P, et al. Among authors: li xa. Med Phys. 2017 Jul;44(7):3437-3443. doi: 10.1002/mp.12267. Epub 2017 May 12. Med Phys. 2017. PMID: 28391596

7

A Technique to Rapidly Generate Synthetic Computed Tomography for Magnetic Resonance Imaging-Guided Online Adaptive Replanning: An Exploratory Study.

Ahunbay EE, Thapa R, Chen X, Paulson E, Li XA. Ahunbay EE, et al. Among authors: li xa. Int J Radiat Oncol Biol Phys. 2019 Apr 1;103(5):1261-1270. doi: 10.1016/j.ijrobp.2018.12.008. Epub 2018 Dec 11. Int J Radiat Oncol Biol Phys. 2019. PMID: 30550817

8

Measurement validation of treatment planning for a MR-Linac.

Chen X, Paulson ES, Ahunbay E, Sanli A, Klawikowski S, Li XA. Chen X, et al. Among authors: li xa. J Appl Clin Med Phys. 2019 Jul;20(7):28-38. doi: 10.1002/acm2.12651. Epub 2019 Jun 29. J Appl Clin Med Phys. 2019. PMID: 31254376 Free PMC article.

9

Texture-based, automatic contour validation for online adaptive replanning: A feasibility study on abdominal organs.

Zhang Y, Plautz TE, Hao Y, Kinchen C, Li XA. Zhang Y, et al. Among authors: li xa. Med Phys. 2019 Sep;46(9):4010-4020. doi: 10.1002/mp.13697. Epub 2019 Jul 26. Med Phys. 2019. PMID: 31274193

10

Indications of Online Adaptive Replanning Based On Organ Deformation.

Lim SN, Ahunbay EE, Nasief H, Zheng C, Lawton C, Li XA. Lim SN, et al. Among authors: li xa. Pract Radiat Oncol. 2020 Mar-Apr;10(2):e95-e102. doi: 10.1016/j.prro.2019.08.007. Epub 2019 Aug 22. Pract Radiat Oncol. 2020. PMID: 31446149

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