Valdes G - Search Results

1

Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.

Luna JM, Chao HH, Diffenderfer ES, Valdes G, Chinniah C, Ma G, Cengel KA, Solberg TD, Berman AT, Simone CB 2nd. Luna JM, et al. Among authors: valdes g. Radiother Oncol. 2019 Apr;133:106-112. doi: 10.1016/j.radonc.2019.01.003. Epub 2019 Jan 23. Radiother Oncol. 2019. PMID: 30935565

2

A mathematical framework for virtual IMRT QA using machine learning.

Valdes G, Scheuermann R, Hung CY, Olszanski A, Bellerive M, Solberg TD. Valdes G, et al. Med Phys. 2016 Jul;43(7):4323. doi: 10.1118/1.4953835. Med Phys. 2016. PMID: 27370147

3

Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.

Valdes G, Solberg TD, Heskel M, Ungar L, Simone CB 2nd. Valdes G, et al. Phys Med Biol. 2016 Aug 21;61(16):6105-20. doi: 10.1088/0031-9155/61/16/6105. Epub 2016 Jul 27. Phys Med Biol. 2016. PMID: 27461154 Free PMC article.

4

MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine.

Valdes G, Luna JM, Eaton E, Simone CB 2nd, Ungar LH, Solberg TD. Valdes G, et al. Sci Rep. 2016 Nov 30;6:37854. doi: 10.1038/srep37854. Sci Rep. 2016. PMID: 27901055 Free PMC article.

5

IMRT QA using machine learning: A multi-institutional validation.

Valdes G, Chan MF, Lim SB, Scheuermann R, Deasy JO, Solberg TD. Valdes G, et al. J Appl Clin Med Phys. 2017 Sep;18(5):279-284. doi: 10.1002/acm2.12161. Epub 2017 Aug 17. J Appl Clin Med Phys. 2017. PMID: 28815994 Free PMC article.

6

Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.

Valdes G, Simone CB 2nd, Chen J, Lin A, Yom SS, Pattison AJ, Carpenter CM, Solberg TD. Valdes G, et al. Radiother Oncol. 2017 Dec;125(3):392-397. doi: 10.1016/j.radonc.2017.10.014. Epub 2017 Nov 20. Radiother Oncol. 2017. PMID: 29162279

7

Correcting TG 119 confidence limits.

Kearney V, Solberg T, Jensen S, Cheung J, Chuang C, Valdes G. Kearney V, et al. Among authors: valdes g. Med Phys. 2018 Mar;45(3):1001-1008. doi: 10.1002/mp.12759. Epub 2018 Feb 19. Med Phys. 2018. PMID: 29360150

8

Deep nets vs expert designed features in medical physics: An IMRT QA case study.

Interian Y, Rideout V, Kearney VP, Gennatas E, Morin O, Cheung J, Solberg T, Valdes G. Interian Y, et al. Among authors: valdes g. Med Phys. 2018 Jun;45(6):2672-2680. doi: 10.1002/mp.12890. Epub 2018 Apr 18. Med Phys. 2018. PMID: 29603278

9

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

Valdes G, Chang AJ, Interian Y, Owen K, Jensen ST, Ungar LH, Cunha A, Solberg TD, Hsu IC. Valdes G, et al. Int J Radiat Oncol Biol Phys. 2018 Jul 1;101(3):694-703. doi: 10.1016/j.ijrobp.2018.03.001. Epub 2018 Mar 13. Int J Radiat Oncol Biol Phys. 2018. PMID: 29709315

10

Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs.

Feng M, Valdes G, Dixit N, Solberg TD. Feng M, et al. Among authors: valdes g. Front Oncol. 2018 Apr 17;8:110. doi: 10.3389/fonc.2018.00110. eCollection 2018. Front Oncol. 2018. PMID: 29719815 Free PMC article.

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