An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets. - George Lee 002; Carlos Rodriguez; Anant Madabhushi (ISBRA, 2007)

Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies. - George Lee 002; Carlos Rodriguez; Anant Madabhushi (IEEE ACM Trans. Comput. Biol. Bioinform., 2008)

A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology. - George Lee 002; Scott Doyle; James Monaco; Michael D. Feldman; Stephen R. Master; John Tomaszewski 001; Anant Madabhushi (ISBI, 2009)

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)

Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data. - George Lee 002; Anant Madabhushi (PRIB, 2010)

Evaluating feature selection strategies for high dimensional, small sample size datasets. - Abhishek Golugula; George Lee 002; Anant Madabhushi (EMBC, 2011)

Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures. - Abhishek Golugula; George Lee 002; Stephen R. Master; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (EMBC, 2011)

Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data. - Pallavi Tiwari; Satish Viswanath; George Lee 002; Anant Madabhushi (ISBI, 2011)

Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. - Abhishek Golugula; George Lee 002; Stephen R. Master; Michael D. Feldman; John Tomaszewski 001; David W. Speicher; Anant Madabhushi (BMC Bioinform., 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)

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)

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

Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays. - George Lee 002; Sahirzeeshan Ali; Robert Veltri; Jonathan I. Epstein; Christhunesa Christudass; Anant Madabhushi (MICCAI (3), 2013)

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)

Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images. - Patrick Leo; George Lee 002; Anant Madabhushi (Digital Pathology, 2016)

Image analysis and machine learning in digital pathology: Challenges and opportunities. - Anant Madabhushi; George Lee 002 (Medical Image Anal., 2016)

Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. - Shoshana B. Ginsburg; George Lee 002; Sahirzeeshan Ali; Anant Madabhushi (IEEE Trans. Medical Imaging, 2016)

Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. - Satish Viswanath; Pallavi Tiwari; George Lee 002; Anant Madabhushi (BMC Medical Imaging, 2017)