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Medical 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 Madabhushi
Journal of Pathology Informatics|August 27, 2016
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use casesAndrew Janowczyk, Anant Madabhushi
IEEE Transactions on Medical Imaging|June 6, 2012
Multifeature landmark-free active appearance models: application to prostate MRI segmentationRobert Toth, Anant Madabhushi
Journal of Pathology Informatics|July 20, 2012
Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathologySahirzeeshan Ali, Anant Madabhushi
Stem Cells (Dayton, Ohio)|October 29, 2025
Opportunities with artificial intelligence in assessing the potency of mesenchymal stromal cellsRaghavan Chinnadurai, Anant Madabhushi
Medical 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 Madabhushi
Annual Review of Biomedical Engineering|July 16, 2016
Emerging Themes in Image Informatics and Molecular Analysis for Digital PathologyRohit Bhargava, Anant Madabhushi
Medical Image Analysis|July 18, 2016
Image analysis and machine learning in digital pathology: Challenges and opportunitiesAnant Madabhushi, George Lee
IEEE Transactions on Medical Imaging|April 14, 2012
An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagerySahirzeeshan Ali, Anant Madabhushi
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