Ajay Basavanhally

Publication Activity (10 Years)

Years Active: 2009-2017
Publications (10 Years): 1

Top Topics

Automatic Detection

Images Of Natural Scenes

Expectation Maximisation

Top Venues

Medical Imaging: Digital Pathology

IEEE Trans. Biomed. Eng.

Comput. Medical Imaging Graph.

Publications

Andrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Comput. Medical Imaging Graph. 57 (2017)
Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Medical Imaging: Digital Pathology (2014)
Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Medical Imaging: Digital Pathology (2014)
Ajay Basavanhally, Anant Madabhushi
EM-based segmentation-driven color standardization of digitized histopathology. Medical Imaging: Digital Pathology (2013)
Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Anant Madabhushi
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. IEEE Trans. Biomed. Eng. 60 (8) (2013)
Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. MICCAI (2) (2013)
Anant Madabhushi, Shannon Agner, Ajay Basavanhally, Scott Doyle, George Lee
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput. Medical Imaging Graph. 35 (7-8) (2011)
Ajay Basavanhally, Elaine Yu, Jun Xu, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. Medical Imaging: Computer-Aided Diagnosis (2011)
Ajay Basavanhally, Shridar Ganesan, Natalie Shih, Carolyn Mies, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. ISBI (2011)
Ajay Basavanhally, Shridar Ganesan, Shannon Agner, James Monaco, Michael D. Feldman, John Tomaszewski, Gyan Bhanot, Anant Madabhushi
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57 (3) (2010)
Ajay Basavanhally, Scott Doyle, Anant Madabhushi
Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. ISBI (2010)
Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57 (7) (2010)
Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Shannon Agner, George Lee
Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. ISBI (2010)
Jay Naik, Scott Doyle, Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, John E. Tomaszewski, Anant Madabhushi
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Medical Imaging: Computer-Aided Diagnosis (2009)
Ajay Basavanhally, Jun Xu, Shridar Ganesan, Anant Madabhushi
Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. ISBI (2009)
Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. BIBE (2009)