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Physics and Imaging in Radiation Oncology|May 2, 2020
Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapySharif Elguindi, Michael J Zelefsky, Jue Jiang, et al.Seminars in Radiation Oncology|September 13, 2024
Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision MakingJoseph O DeasyPhysics in Medicine and Biology|November 16, 2002
The generalized equivalent uniform dose function as a basis for intensity-modulated treatment planningBeong Choi, Joseph O DeasyMedical Physics|March 6, 2004
Beamlet dose distribution compression and reconstruction using wavelets for intensity modulated treatment planningConstantine Zakarian, Joseph O DeasyComputational and Mathematical Methods in Medicine|October 3, 2014
Modeling the relationship between fluorodeoxyglucose uptake and tumor radioresistance as a function of the tumor microenvironmentJeho Jeong, Joseph O DeasyCancer Treatment and Research|February 2, 2008
Image-based modeling of normal tissue complication probability for radiation therapyJoseph O Deasy, Issam El NaqaEuropean Urology|March 26, 2013
Patterns and predictors of amelioration of genitourinary toxicity after high-dose intensity-modulated radiation therapy for localized prostate cancer: implications for defining postradiotherapy urinary toxicityPirus Ghadjar, Andrew Jackson, Daniel E Spratt, et al.Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|March 14, 2018
Inter-institutional analysis demonstrates the importance of lower than previously anticipated dose regions to prevent late rectal bleeding following prostate radiotherapyMaria Thor, Andrew Jackson, Michael J Zelefsky, et al.Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|February 25, 2014
Modeling positioning uncertainties of prostate cancer external beam radiation therapy using pre-treatment dataPer Munck af Rosenschöld, Neil B Desai, Jung Hun Oh, et al.BMC Bioinformatics|August 1, 2014
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithmJung Hun Oh, Joseph O DeasyPageof 54