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Gilmer Valdes, PhD

Title(s)Assistant Professor, Radiation Oncology
SchoolSchool of Medicine
Phone415-353-8659
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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Luna JM, Gennatas ED, Ungar LH, Eaton E, Diffenderfer ES, Jensen ST, Simone CB, Friedman JH, Solberg TD, Valdes G. Building more accurate decision trees with the additive tree. Proc Natl Acad Sci U S A. 2019 Sep 16. PMID: 31527280.
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    2. Morin O, Chen WC, Nassiri F, Susko M, Magill ST, Vasudevan HN, Wu A, Vallières M, Gennatas ED, Valdes G, Pekmezci M, Alcaide-Leon P, Choudhury A, Interian Y, Mortezavi S, Turgutlu K, Bush NAO, Solberg TD, Braunstein SE, Sneed PK, Perry A, Zadeh G, McDermott MW, Villanueva-Meyer JE, Raleigh DR. Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival. Neurooncol Adv. 2019 May-Dec; 1(1):vdz011. PMID: 31608329.
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    3. Chen J, Morin O, Weethee B, Perez-Andujar A, Phillips J, Held M, Kearney V, Han DY, Cheung J, Chuang C, Valdes G, Sudhyadhom A, Solberg T. Optimizing beam models for dosimetric accuracy over a wide range of treatments. Phys Med. 2019 Feb; 58:47-53. PMID: 30824149.
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    4. Luna JM, Chao HH, Diffenderfer ES, Valdes G, Chinniah C, Ma G, Cengel KA, Solberg TD, Berman AT, Simone CB. Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning. Radiother Oncol. 2019 Apr; 133:106-112. PMID: 30935565.
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    5. Deist TM, Dankers FJWM, Valdes G, Wijsman R, Hsu IC, Oberije C, Lustberg T, van Soest J, Hoebers F, Jochems A, El Naqa I, Wee L, Morin O, Raleigh DR, Bots W, Kaanders JH, Belderbos J, Kwint M, Solberg T, Monshouwer R, Bussink J, Dekker A, Lambin P. Erratum: "Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers" [Med. Phys. 45 (7), 3449-3459 (2018)]. Med Phys. 2019 Feb; 46(2):1080-1087. PMID: 30730570.
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    6. Valdes G, Chang AJ, Cunnan A, Solberg TD, Hsu IC, Interian Y, Owen K, Jensen ST, Ungar LH. In Reply to Gensheimer and Trister. Int J Radiat Oncol Biol Phys. 2018 12 01; 102(5):1594-1596. PMID: 31014789.
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    7. Kearney V, Chan JW, Valdes G, Solberg TD, Yom SS. The application of artificial intelligence in the IMRT planning process for head and neck cancer. Oral Oncol. 2018 12; 87:111-116. PMID: 30527225.
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    8. Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial Intelligence in Radiation Oncology Imaging. Int J Radiat Oncol Biol Phys. 2018 11 15; 102(4):1159-1161. PMID: 30353870.
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    9. Gennatas ED, Wu A, Braunstein SE, Morin O, Chen WC, Magill ST, Gopinath C, Villaneueva-Meyer JE, Perry A, McDermott MW, Solberg TD, Valdes G, Raleigh DR. Preoperative and postoperative prediction of long-term meningioma outcomes. PLoS One. 2018; 13(9):e0204161. PMID: 30235308.
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    10. Kearney V, Haaf S, Sudhyadhom A, Valdes G, Solberg TD. An unsupervised convolutional neural network-based algorithm for deformable image registration. Phys Med Biol. 2018 09 17; 63(18):185017. PMID: 30109996.
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    11. Morin O, Vallières M, Jochems A, Woodruff HC, Valdes G, Braunstein SE, Wildberger JE, Villanueva-Meyer JE, Kearney V, Yom SS, Solberg TD, Lambin P. A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change. Int J Radiat Oncol Biol Phys. 2018 11 15; 102(4):1074-1082. PMID: 30170101.
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    12. El Naqa I, Ruan D, Valdes G, Dekker A, McNutt T, Ge Y, Wu QJ, Oh JH, Thor M, Smith W, Rao A, Fuller C, Xiao Y, Manion F, Schipper M, Mayo C, Moran JM, Ten Haken R. Machine learning and modeling: Data, validation, communication challenges. Med Phys. 2018 Oct; 45(10):e834-e840. PMID: 30144098.
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    13. Chao HH, Valdes G, Luna JM, Heskel M, Berman AT, Solberg TD, Simone CB. Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapy. J Appl Clin Med Phys. 2018 Sep; 19(5):539-546. PMID: 29992732.
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    14. Deist TM, Dankers FJWM, Valdes G, Wijsman R, Hsu IC, Oberije C, Lustberg T, van Soest J, Hoebers F, Jochems A, El Naqa I, Wee L, Morin O, Raleigh DR, Bots W, Kaanders JH, Belderbos J, Kwint M, Solberg T, Monshouwer R, Bussink J, Dekker A, Lambin P. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers. Med Phys. 2018 Jul; 45(7):3449-3459. PMID: 29763967.
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    15. Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation? Radiother Oncol. 2018 12; 129(3):421-426. PMID: 29907338.
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    16. Hara JH, Wu A, Villanueva-Meyer JE, Valdes G, Daggubati V, Mueller S, Solberg TD, Braunstein SE, Morin O, Raleigh DR. Clinical Applications of Quantitative 3-Dimensional MRI Analysis for Pediatric Embryonal Brain Tumors. Int J Radiat Oncol Biol Phys. 2018 11 15; 102(4):744-756. PMID: 30108003.
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    17. Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. The Future of Artificial Intelligence in Radiation Oncology. Int J Radiat Oncol Biol Phys. 2018 10 01; 102(2):247-248. PMID: 30191856.
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    18. Interian Y, Rideout V, Kearney VP, Gennatas E, Morin O, Cheung J, Solberg T, Valdes G. Deep nets vs expert designed features in medical physics: An IMRT QA case study. Med Phys. 2018 Jun; 45(6):2672-2680. PMID: 29603278.
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    19. Feng M, Valdes G, Dixit N, Solberg TD. Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs. Front Oncol. 2018; 8:110. PMID: 29719815.
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    20. Valdes G, Interian Y. Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'. Phys Med Biol. 2018 03 15; 63(6):068001. PMID: 29424369.
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    21. Valdes G, Chang AJ, Interian Y, Owen K, Jensen ST, Ungar LH, Cunha A, Solberg TD, Hsu IC. Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis. Int J Radiat Oncol Biol Phys. 2018 07 01; 101(3):694-703. PMID: 29709315.
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    22. Kearney V, Solberg T, Jensen S, Cheung J, Chuang C, Valdes G. Correcting TG 119 confidence limits. Med Phys. 2018 Mar; 45(3):1001-1008. PMID: 29360150.
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    23. Valdes G, Simone CB, Chen J, Lin A, Yom SS, Pattison AJ, Carpenter CM, Solberg TD. Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making. Radiother Oncol. 2017 12; 125(3):392-397. PMID: 29162279.
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    24. Valdes G, Chan MF, Lim SB, Scheuermann R, Deasy JO, Solberg TD. IMRT QA using machine learning: A multi-institutional validation. J Appl Clin Med Phys. 2017 Sep; 18(5):279-284. PMID: 28815994.
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    25. Valdes G, Lee C, Tenn S, Lee P, Robinson C, Iwamoto K, Low D, Lamb JM. The relative accuracy of 4D dose accumulation for lung radiotherapy using rigid dose projection versus dose recalculation on every breathing phase. Med Phys. 2017 Mar; 44(3):1120-1127. PMID: 28019649.
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    26. Valdes G, Luna JM, Eaton E, Simone CB, Ungar LH, Solberg TD. MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine. Sci Rep. 2016 11 30; 6:37854. PMID: 27901055.
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    27. Valdes G, Solberg TD, Heskel M, Ungar L, Simone CB. Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy. Phys Med Biol. 2016 08 21; 61(16):6105-20. PMID: 27461154.
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    28. Valdes G, Morin O, Valenciaga Y, Kirby N, Pouliot J, Chuang C. Use of TrueBeam developer mode for imaging QA. J Appl Clin Med Phys. 2015 07 08; 16(4):322–333. PMID: 26219002.
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    29. Valdes G, Robinson C, Lee P, Morel D, Low D, Iwamoto KS, Lamb JM. Tumor control probability and the utility of 4D vs 3D dose calculations for stereotactic body radiotherapy for lung cancer. Med Dosim. 2015; 40(1):64-9. PMID: 25542785.
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    30. Takahashi M, Valdes G, Hiraoka K, Inagaki A, Kamijima S, Micewicz E, Gruber HE, Robbins JM, Jolly DJ, McBride WH, Iwamoto KS, Kasahara N. Radiosensitization of gliomas by intracellular generation of 5-fluorouracil potentiates prodrug activator gene therapy with a retroviral replicating vector. Cancer Gene Ther. 2014 Oct; 21(10):405-410. PMID: 25301172.
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    31. Valdes G, Schulte RW, Ostermeier M, Iwamoto KS. The high-affinity maltose switch MBP317-347 has low affinity for glucose: implications for targeting tumors with metabolically directed enzyme prodrug therapy. Chem Biol Drug Des. 2014 Mar; 83(3):266-71. PMID: 24131788.
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    32. Valdes G, Iwamoto KS. Re-evaluation of cellular radiosensitization by 5-fluorouracil: high-dose, pulsed administration is effective and preferable to conventional low-dose, chronic administration. Int J Radiat Biol. 2013 Oct; 89(10):851-62. PMID: 23607451.
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