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Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI Space.
McGarry SD, Bukowy JD, Iczkowski KA, Unteriner JG, Duvnjak P, Lowman AK, Jacobsohn K, Hohenwalter M, Griffin MO, Barrington AW, Foss HE, Keuter T, Hurrell SL, See WA, Nevalainen MT, Banerjee A, LaViolette PS. McGarry SD, et al. Among authors: keuter t. Tomography. 2019 Mar;5(1):127-134. doi: 10.18383/j.tom.2018.00033. Tomography. 2019. PMID: 30854450 Free PMC article.
Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer.
McGarry SD, Hurrell SL, Iczkowski KA, Hall W, Kaczmarowski AL, Banerjee A, Keuter T, Jacobsohn K, Bukowy JD, Nevalainen MT, Hohenwalter MD, See WA, LaViolette PS. McGarry SD, et al. Among authors: keuter t. Int J Radiat Oncol Biol Phys. 2018 Aug 1;101(5):1179-1187. doi: 10.1016/j.ijrobp.2018.04.044. Epub 2018 Apr 24. Int J Radiat Oncol Biol Phys. 2018. PMID: 29908785 Free PMC article.
Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer.
McGarry SD, Bukowy JD, Iczkowski KA, Lowman AK, Brehler M, Bobholz S, Nencka A, Barrington A, Jacobsohn K, Unteriner J, Duvnjak P, Griffin M, Hohenwalter M, Keuter T, Huang W, Antic T, Paner G, Palangmonthip W, Banerjee A, LaViolette PS. McGarry SD, et al. Among authors: keuter t. J Med Imaging (Bellingham). 2020 Sep;7(5):054501. doi: 10.1117/1.JMI.7.5.054501. Epub 2020 Sep 9. J Med Imaging (Bellingham). 2020. PMID: 32923510 Free PMC article.