Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.
Comput. Medical Imaging Graph., 2017
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides.
IEEE Trans. Biomed. Eng., 2013
EM-based segmentation-driven color standardization of digitized histopathology.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.
Comput. Medical Imaging Graph., 2011
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010
Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009