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Ajay Basavanhally

Showing results (1-10 of 13) with videos related to

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Plos 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 Madabhushi
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 5, 2016
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathologyAndrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Variable importance in nonlinear kernels (VINK): classification of digitized histopathologyShoshana Ginsburg, Sahirzeeshan Ali, George Lee, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 22, 2011
Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal dataAnant Madabhushi, Shannon Agner, Ajay Basavanhally, et al.
Journal of Pathology Informatics|July 20, 2012
Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DXAjay Basavanhally, Michael Feldman, Natalie Shih, et al.
IEEE Transactions on Bio-Medical Engineering|February 9, 2013
Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slidesAjay Basavanhally, Shridar Ganesan, Michael Feldman, et al.
Clinical Chemistry and Laboratory Medicine|May 25, 2010
Integrated diagnostics: a conceptual framework with examplesAnant Madabhushi, Scott Doyle, George Lee, et al.
IEEE Transactions on Bio-Medical Engineering|February 23, 2010
Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathologyHussain Fatakdawala, Jun Xu, Ajay Basavanhally, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network featuresHaibo Wang, Angel Cruz-Roa, Ajay Basavanhally, et al.
Experimental Biology and Medicine (Maywood, N.J.)|June 4, 2009
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imagingGabriela Lexe, James Monaco, Scott Doyle, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Plos 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 Madabhushi
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|July 5, 2016
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathologyAndrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Variable importance in nonlinear kernels (VINK): classification of digitized histopathologyShoshana Ginsburg, Sahirzeeshan Ali, George Lee, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 22, 2011
Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal dataAnant Madabhushi, Shannon Agner, Ajay Basavanhally, et al.
Journal of Pathology Informatics|July 20, 2012
Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DXAjay Basavanhally, Michael Feldman, Natalie Shih, et al.
IEEE Transactions on Bio-Medical Engineering|February 9, 2013
Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slidesAjay Basavanhally, Shridar Ganesan, Michael Feldman, et al.
Clinical Chemistry and Laboratory Medicine|May 25, 2010
Integrated diagnostics: a conceptual framework with examplesAnant Madabhushi, Scott Doyle, George Lee, et al.
IEEE Transactions on Bio-Medical Engineering|February 23, 2010
Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathologyHussain Fatakdawala, Jun Xu, Ajay Basavanhally, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network featuresHaibo Wang, Angel Cruz-Roa, Ajay Basavanhally, et al.
Experimental Biology and Medicine (Maywood, N.J.)|June 4, 2009
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imagingGabriela Lexe, James Monaco, Scott Doyle, et al.
Pageof 2