Ajay Basavanhally

16 papers C 1Journal 5Unranked 10
YearRankTypeTitle / Venue / Authors
2017 J jnl
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.
Comput. Medical Imaging Graph.
Andrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
2014 — conf
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks.
Digital Pathology
Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi
2014 — conf
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection.
Digital Pathology
Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi
2013 — conf
EM-based segmentation-driven color standardization of digitized histopathology.
Digital Pathology
Ajay Basavanhally, Anant Madabhushi
2013 J jnl
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides.
IEEE Trans. Biomed. Eng.
Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Anant Madabhushi
2013 — conf
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology.
MICCAI (2)
Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi
2011 — conf
A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology.
ISBI
Ajay Basavanhally, Shridar Ganesan, Natalie Shih, Carolyn Mies, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011 J jnl
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.
Comput. Medical Imaging Graph.
Anant Madabhushi, Shannon Agner, Ajay Basavanhally, Scott Doyle, George Lee
2011 — conf
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods.
Computer-Aided Diagnosis
Ajay Basavanhally, Elaine Yu, Jun Xu, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2010 — conf
Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis.
ISBI
Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Shannon Agner, George Lee
2010 J jnl
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng.
Ajay Basavanhally, Shridar Ganesan, Shannon Agner, James Monaco, Michael D. Feldman, John Tomaszewski, Gyan Bhanot, Anant Madabhushi
2010 J jnl
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng.
Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2010 — conf
Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis.
ISBI
Ajay Basavanhally, Scott Doyle, Anant Madabhushi
2009 — conf
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology.
Computer-Aided Diagnosis
Jay Naik, Scott Doyle, Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2009 — conf
Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay.
ISBI
Ajay Basavanhally, Jun Xu, Shridar Ganesan, Anant Madabhushi
2009 C conf
Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
BIBE
Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi