George Lee

Publication Activity (10 Years)

Years Active: 2007-2017
Publications (10 Years): 5

Top Topics

Feature Importance

Deformable Registration

Dimensionality Reduction

Magnetic Resonance Spectroscopy

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

Satish Viswanath, Pallavi Tiwari, George Lee, Anant Madabhushi
Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. BMC Medical Imaging 17 (1) (2017)
Patrick Leo, George Lee, Anant Madabhushi
Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images. Medical Imaging: Digital Pathology (2016)
Shoshana B. Ginsburg, George Lee, Sahirzeeshan Ali, Anant Madabhushi
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. IEEE Trans. Medical Imaging 35 (1) (2016)
Anant Madabhushi, George Lee
Image analysis and machine learning in digital pathology: Challenges and opportunities. Medical Image Anal. 33 (2016)
George Lee, Asha Singanamalli, Haibo Wang, Michael D. Feldman, Stephen R. Master, Natalie N. C. Shih, Elaine Spangler, Timothy R. Rebbeck, John Tomaszewski, Anant Madabhushi
Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer. IEEE Trans. Medical Imaging 34 (1) (2015)
George Lee, Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi
Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays. MICCAI (3) (2013)
George Lee, Rachel Sparks, Sahirzeeshan Ali, Anant Madabhushi, Michael D. Feldman, Stephen R. Master, Natalie Shih, John Tomaszewski
Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. ISBI (2013)
Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. MICCAI (2) (2013)
Anant Madabhushi, Shannon Agner, Ajay Basavanhally, Scott Doyle, George Lee
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput. Medical Imaging Graph. 35 (7-8) (2011)
Pallavi Tiwari, Satish Viswanath, George Lee, Anant Madabhushi
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data. ISBI (2011)
Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John E. Tomaszewski, Anant Madabhushi
Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures. EMBC (2011)
Abhishek Golugula, George Lee, Anant Madabhushi
Evaluating feature selection strategies for high dimensional, small sample size datasets. EMBC (2011)
Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, David W. Speicher, Anant Madabhushi
Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. BMC Bioinform. 12 (2011)
George Lee, Anant Madabhushi
Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data. PRIB (2010)
Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Shannon Agner, George Lee
Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. ISBI (2010)
George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi
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. ISBI (2009)
George Lee, Carlos Rodriguez, Anant Madabhushi
Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies. IEEE ACM Trans. Comput. Biol. Bioinform. 5 (3) (2008)
George Lee, Carlos Rodriguez, Anant Madabhushi
An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets. ISBRA (2007)