Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. - Ajay Basavanhally; Jun Xu 005; Shridar Ganesan; Anant Madabhushi (ISBI, 2009)

A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. - Jay Naik; Scott Doyle; Ajay Basavanhally; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (Computer-Aided Diagnosis, 2009)

Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. - Ajay Basavanhally; Scott Doyle; Anant Madabhushi (ISBI, 2010)

Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. - Anant Madabhushi; Ajay Basavanhally; Scott Doyle; Shannon Agner; George Lee 002 (ISBI, 2010)

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. - Ajay Basavanhally; Shridar Ganesan; Shannon Agner; James Monaco; Michael D. Feldman; John Tomaszewski 001; Gyan Bhanot; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. - Hussain Fatakdawala; Jun Xu 005; Ajay Basavanhally; Gyan Bhanot; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. - Ajay Basavanhally; Shridar Ganesan; Natalie Shih; Carolyn Mies; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (ISBI, 2011)

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. - Ajay Basavanhally; Elaine Yu; Jun Xu 005; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. - Anant Madabhushi; Shannon Agner; Ajay Basavanhally; Scott Doyle; George Lee 002 (Comput. Medical Imaging Graph., 2011)

Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. - Shoshana Ginsburg; Sahirzeeshan Ali; George Lee 002; Ajay Basavanhally; Anant Madabhushi (MICCAI (2), 2013)

EM-based segmentation-driven color standardization of digitized histopathology. - Ajay Basavanhally; Anant Madabhushi (Digital Pathology, 2013)

Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. - Ajay Basavanhally; Shridar Ganesan; Michael D. Feldman; Natalie Shih; Carolyn Mies; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2013)

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. - Angel Cruz-Roa; Ajay Basavanhally; Fabio A. González 001; Hannah Gilmore; Michael D. Feldman; Shridar Ganesan; Natalie Shih; John Tomaszewski 001; Anant Madabhushi (Digital Pathology, 2014)

Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. - Haibo Wang; Angel Cruz-Roa; Ajay Basavanhally; Hannah Gilmore; Natalie Shih; Mike Feldman; John Tomaszewski 001; Fabio A. González 001; Anant Madabhushi (Digital Pathology, 2014)

Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. - Andrew Janowczyk; Ajay Basavanhally; Anant Madabhushi (Comput. Medical Imaging Graph., 2017)