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IEEE Transactions on Medical Imaging|July 18, 2015
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital PathologyShoshana B Ginsburg, George Lee, Sahirzeeshan Ali, et al.Academic Radiology|September 11, 2012
Automated texture-based quantification of centrilobular nodularity and centrilobular emphysema in chest CT imagesShoshana B Ginsburg, David A Lynch, Russell P Bowler, et al.Academic Radiology|August 31, 2016
Texture-based Quantification of Centrilobular Emphysema and Centrilobular Nodularity in Longitudinal CT Scans of Current and Former SmokersShoshana B Ginsburg, Jason Zhao, Stephen Humphries, et al.Journal of Magnetic Resonance Imaging : JMRI|June 11, 2016
Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation methodShoshana B Ginsburg, Pekka Taimen, Harri Merisaari, et al.Journal of Magnetic Resonance Imaging : JMRI|June 20, 2014
Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumorsShoshana B Ginsburg, Satish E Viswanath, B Nicolas Bloch, et al.Journal of Magnetic Resonance Imaging : JMRI|December 20, 2016
Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional studyShoshana B Ginsburg, Ahmad Algohary, Shivani Pahwa, et al.Pageof 1