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)

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. - Jun Xu 005; Lei Xiang; Guanhao Wang; Shridar Ganesan; Michael D. Feldman; Natalie N. C. Shih; Hannah Gilmore; Anant Madabhushi (Comput. Medical Imaging Graph., 2015)

Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. - David Romo-Bucheli; Andrew Janowczyk; Eduardo Romero 001; Hannah Gilmore; Anant Madabhushi (Digital Pathology, 2016)

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. - Jun Xu 005; Xiaofei Luo; Guanhao Wang; Hannah Gilmore; Anant Madabhushi (Neurocomputing, 2016)

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. - Jun Xu 005; Lei Xiang; Qingshan Liu 001; Hannah Gilmore; Jianzhong Wu; Jinghai Tang; Anant Madabhushi (IEEE Trans. Medical Imaging, 2016)

A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. - Andrew Janowczyk; Scott Doyle; Hannah Gilmore; Anant Madabhushi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)