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Tomography (Ann Arbor, Mich.)|October 25, 2016
Magnetic Resonance Imaging-Based Radiomic Profiles Predict Patient Prognosis in Newly Diagnosed Glioblastoma Before TherapySean D McGarry, Sarah L Hurrell, Amy L Kaczmarowski, et al.International Journal of Radiation Oncology, Biology, Physics|June 18, 2018
Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate CancerSean D McGarry, Sarah L Hurrell, Kenneth A Iczkowski, et al.Journal of Medical Imaging (Bellingham, Wash.)|November 4, 2017
Optimized b-value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using diffusion weighted imagingSarah L Hurrell, Sean D McGarry, Amy Kaczmarowski, et al.Journal of Medical Imaging (Bellingham, Wash.)|October 16, 2020
Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural networkJohn D Bukowy, Halle Foss, Sean D McGarry, et al.Tomography (Ann Arbor, Mich.)|March 12, 2019
Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI SpaceSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.Journal of Magnetic Resonance Imaging : JMRI|November 12, 2021
Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer AggressivenessSean D McGarry, Michael Brehler, John D Bukowy, et al.Pageof 1