Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. - Pratik Patel; Jonathan Chappelow; John Tomaszewski 001; Michael D. Feldman; Mark Rosen; Natalie Shih; Anant Madabhushi (EMBC, 2011)

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. - Elaine Yu; James P. Monaco; John Tomaszewski 001; Natalie Shih; Michael D. Feldman; Anant Madabhushi (EMBC, 2011)

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)

Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. - Scott Doyle; Michael D. Feldman; John Tomaszewski 001; Natalie Shih; Anant Madabhushi (ISBI, 2011)

HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. - Jonathan Chappelow; John Tomaszewski 001; Michael D. Feldman; Natalie Shih; Anant Madabhushi (Comput. Medical Imaging Graph., 2011)

Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework. - Robert Toth; Jonathan Chappelow; Christoph Vetter; Oliver Kutter; Christoph Russ; Michael D. Feldman; John Tomaszewski 001; Natalie Shih; Anant Madabhushi (Computer-Aided Diagnosis, 2012)

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. - Scott Doyle; Michael D. Feldman; Natalie Shih; John Tomaszewski 001; Anant Madabhushi (BMC Bioinform., 2012)

Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. - George Lee 002; Rachel Sparks; Sahirzeeshan Ali; Anant Madabhushi; Michael D. Feldman; Stephen R. Master; Natalie Shih; John Tomaszewski 001 (ISBI, 2013)

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. - Asha Singanamalli; Rachel Sparks; Mirabela Rusu; Natalie Shih; Amy Ziober; John Tomaszewski 001; Mark Rosen; Michael D. Feldman; 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)

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI. - Geert J. S. Litjens; R. Elliott; Natalie Shih; Michael D. Feldman; Jelle O. Barentsz; Christina A. Hulsbergen van de Kaa; Iringo Kovacs; Henkjan J. Huisman; Anant Madabhushi (Computer-Aided Diagnosis, 2014)

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)

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. - Geert Litjens 001; Henkjan J. Huisman; R. Elliott; Natalie Shih; Michael D. Feldman; Satish Viswanath; Jurgen J. Fütterer; J. Bomers; Anant Madabhushi (Image-Guided Procedures, 2014)

Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. - Eileen Hwuang; Mirabela Rusu; Sudha Karthigeyan; Shannon Agner; Rachel Sparks; Natalie Shih; John Tomaszewski 001; Mark Rosen; Michael D. Feldman; Anant Madabhushi (Image Processing, 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)

Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer. - George Lee 002; Asha Singanamalli; Haibo Wang; Michael D. Feldman; Stephen R. Master; Natalie N. C. Shih; Elaine Spangler; Timothy R. Rebbeck; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Medical Imaging, 2015)