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Annual Review of Biomedical Engineering|July 16, 2016
Emerging Themes in Image Informatics and Molecular Analysis for Digital PathologyRohit Bhargava, Anant MadabhushiMedical Image Analysis|July 16, 2013
Explicit shape descriptors: novel morphologic features for histopathology classificationRachel Sparks, Anant MadabhushiScientific Reports|June 7, 2016
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology ImagesRachel Sparks, Anant MadabhushiMedical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Novel morphometric based classification via diffeomorphic based shape representation using manifold learningRachel Sparks, Anant MadabhushiJournal of Pathology Informatics|August 27, 2016
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use casesAndrew Janowczyk, Anant MadabhushiIEEE Transactions on Medical Imaging|June 6, 2012
Multifeature landmark-free active appearance models: application to prostate MRI segmentationRobert Toth, Anant MadabhushiJournal of Pathology Informatics|July 20, 2012
Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathologySahirzeeshan Ali, Anant MadabhushiStem Cells (Dayton, Ohio)|October 29, 2025
Opportunities with artificial intelligence in assessing the potency of mesenchymal stromal cellsRaghavan Chinnadurai, Anant MadabhushiMedical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Aggregated distance metric learning (ADM) for image classification in presence of limited training dataGaoyu Xiao, Anant MadabhushiMedical Image Analysis|July 18, 2016
Image analysis and machine learning in digital pathology: Challenges and opportunitiesAnant Madabhushi, George LeePageof 74