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Ajay Basavanhally
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2010 – 2019
- 2017
- [j5]Andrew Janowczyk, Ajay Basavanhally
, Anant Madabhushi
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Comput. Medical Imaging Graph. 57: 50-61 (2017) - 2014
- [c11]Haibo Wang, Angel Cruz-Roa
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Digital Pathology 2014: 90410B - [c10]Angel Cruz-Roa
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology 2014: 904103 - 2013
- [j4]Ajay Basavanhally
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. IEEE Trans. Biomed. Eng. 60(8): 2089-2099 (2013) - [c9]Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. MICCAI (2) 2013: 238-245 - [c8]Ajay Basavanhally
EM-based segmentation-driven color standardization of digitized histopathology. Digital Pathology 2013: 86760G - 2011
- [j3]Anant Madabhushi
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput. Medical Imaging Graph. 35(7-8): 506-514 (2011) - [c7]Ajay Basavanhally
A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. ISBI 2011: 125-128 - [c6]Ajay Basavanhally
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. Computer-Aided Diagnosis 2011: 796310 - 2010
- [j2]Ajay Basavanhally
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57(3): 642-653 (2010) - [j1]Hussain Fatakdawala, Jun Xu, Ajay Basavanhally
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57(7): 1676-1689 (2010) - [c5]Ajay Basavanhally
Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. ISBI 2010: 229-232 - [c4]Anant Madabhushi
Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. ISBI 2010: 1415-1418
2000 – 2009
- 2009
- [c3]Hussain Fatakdawala, Ajay Basavanhally
Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. BIBE 2009: 69-76 - [c2]Ajay Basavanhally
Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. ISBI 2009: 851-854 - [c1]Jay Naik, Scott Doyle, Ajay Basavanhally
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Computer-Aided Diagnosis 2009: 72603F
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