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Computer Vision and Image Understanding : CVIU|July 27, 2013
Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histologyRachel Sparks, Anant MadabhushiIEEE Transactions on Medical Imaging|May 14, 2005
Interplay between intensity standardization and inhomogeneity correction in MR image processingAnant Madabhushi, Jayaram K UdupaJournal of Medical Imaging (Bellingham, Wash.)|March 2, 2022
History of the SPIE Medical Imaging Digital Pathology ConferenceAnant Madabhushi, Metin N GurcanIEEE Transactions on Medical Imaging|April 29, 2003
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesionsAnant Madabhushi, Dimitris N MetaxasMedical Physics|October 7, 2006
New methods of MR image intensity standardization via generalized scaleAnant Madabhushi, Jayaram K UdupaIEEE Transactions on Medical Imaging|February 22, 2011
Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulationsJames Peter Monaco, Anant MadabhushiMedical Image Analysis|September 19, 2012
Class-specific weighting for Markov random field estimation: application to medical image segmentationJames P Monaco, Anant MadabhushiScientific Reports|September 30, 2017
Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle BiopsiesHaibo Wang, Satish Viswanath, Anant MadabhushiPlos One|May 21, 2015
Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancerAjay Basavanhally, Satish Viswanath, Anant MadabhushiAmerican Society of Clinical Oncology Educational Book. American Society of Clinical Oncology. Annual Meeting|September 21, 2018
Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical ApplicationsKaustav Bera, Vamsidhar Velcheti, Anant MadabhushiPageof 41