Publications by authors named "Sean D McGarry"

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Vessel Metrics: A software tool for automated analysis of vascular structure in confocal imaging.
Sean D McGarry, Cynthia Adjekukor, Suchit Ahuja, Jasper Greysson-Wong, Idy Vien

Microvasc Res· January 2024

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Multi-Site Concordance of Diffusion-Weighted Imaging Quantification for Assessing Prostate Cancer Aggressiveness.
Sean D McGarry, Michael Brehler, John D Bukowy, Allison K Lowman, Samuel A Bobholz

J Magn Reson Imaging· June 2022

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The impeded diffusion fraction quantitative imaging assay demonstrated in multi-exponential diffusion phantom and prostate cancer.
Dariya I Malyarenko, Scott D Swanson, Sean D McGarry, Peter S LaViolette, Thomas L Chenevert

Magn Reson Med· April 2022

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Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer.
Sean D McGarry, John D Bukowy, Kenneth A Iczkowski, Allison K Lowman, Michael Brehler

J Med Imaging (Bellingham)· September 2020

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Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network.
John D Bukowy, Halle Foss, Sean D McGarry, Allison K Lowman, Sarah L Hurrell

J Med Imaging (Bellingham)· September 2020

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Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI Space.
Sean D McGarry, John D Bukowy, Kenneth A Iczkowski, Jackson G Unteriner, Petar Duvnjak

Tomography· March 2019

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An integrated iterative annotation technique for easing neural network training in medical image analysis.
Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D McGarry, Peter S LaViolette

Nat Mach Intell· February 2019

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Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer.
Sean D McGarry, Sarah L Hurrell, Kenneth A Iczkowski, William Hall, Amy L Kaczmarowski

Int J Radiat Oncol Biol Phys· August 2018

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Optimized -value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using diffusion weighted imaging.
Sarah L Hurrell, Sean D McGarry, Amy Kaczmarowski, Kenneth A Iczkowski, Kenneth Jacobsohn

J Med Imaging (Bellingham)· January 2018

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Magnetic Resonance Imaging-Based Radiomic Profiles Predict Patient Prognosis in Newly Diagnosed Glioblastoma Before Therapy.
Sean D McGarry, Sarah L Hurrell, Amy L Kaczmarowski, Elizabeth J Cochran, Jennifer Connelly

Tomography· September 2016

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