Showing results (1-10 of 10) with videos related to
Sort By:
Pageof 1
Magnetic Resonance in Medicine|November 14, 2021
The impeded diffusion fraction quantitative imaging assay demonstrated in multi-exponential diffusion phantom and prostate cancerDariya I Malyarenko, Scott D Swanson, Sean D McGarry, et al.Microvascular Research|September 22, 2023
Vessel Metrics: A software tool for automated analysis of vascular structure in confocal imagingSean D McGarry, Cynthia Adjekukor, Suchit Ahuja, et al.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.Nature Machine Intelligence|June 13, 2019
An integrated iterative annotation technique for easing neural network training in medical image analysisBrendon Lutnick, Brandon Ginley, Darshana Govind, 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 <i>b</i>-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.)|September 14, 2020
Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancerSean D McGarry, John D Bukowy, Kenneth A Iczkowski, 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