George Lee

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Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data

George Lee, Anant Madabhushi, 2010, PRIB.

Supervised multi-view canonical correlation analysis: fused multimodal prediction of disease diagnosis and prognosis

George Lee, Anant Madabhushi, John E. Tomaszewski, 2014, Medical Imaging.

Advances in the computational and molecular understanding of the prostate cancer cell nucleus

George Lee, Anant Madabhushi, Neil M Carleton, 2018, Journal of cellular biochemistry.

Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images

George Lee, Anant Madabhushi, Patrick Leo, 2016, SPIE Medical Imaging.

Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases

George Lee, Anant Madabhushi, Pallavi Tiwari, 2017, BMC Medical Imaging.

An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets

George Lee, Anant Madabhushi, Carlos Rodriguez, 2007, ISBRA.

Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures

George Lee, Anant Madabhushi, Michael D. Feldman, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies

George Lee, Anant Madabhushi, Carlos Rodriguez, 2008, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Evaluating feature selection strategies for high dimensional, small sample size datasets

George Lee, Anant Madabhushi, Abhishek Golugula, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Learning user preferences for wireless services provisioning

John Wroclawski, George Lee, Peyman Faratin, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

The Joint Agency Commercial Imagery Evaluation team: overview and IKONOS joint characterization approach

George Lee, Robert E. Ryan, Greg Snyder, 2003 .

A user-guided cognitive agent for network service selection in pervasive computing environments

John Wroclawski, George Lee, Peyman Faratin, 2004, Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the.

Shake Table Study of Bridge with Precast Post-Tensioned Segmental Columns

George Lee, Lan Haiyan, Na-Si Zhang, 2014 .

Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer

Haibo Wang, George Lee, Anant Madabhushi, 2015, IEEE Transactions on Medical Imaging.

Image analysis and machine learning in digital pathology: Challenges and opportunities

George Lee, Anant Madabhushi, A. Madabhushi, 2016, Medical Image Anal..

DISSECT: An experiment in infusing computational thinking in K-12 science curricula

Enrico Pontelli, George Lee, Sarah Hug, 2014, 2014 IEEE Frontiers in Education Conference (FIE) Proceedings.

Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery

George Lee, Anant Madabhushi, Michael D. Feldman, 2011, BMC Bioinformatics.

The Unified Logging Infrastructure for Data Analytics at Twitter pdf

Chuang Liu, Jimmy J. Lin, George Lee, 2012, Proc. VLDB Endow..

Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis

George Lee, Anant Madabhushi, Ajay Basavanhally, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Adaptive charging network for electric vehicles

Steven H. Low, George Lee, Ted Lee, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Construction of a 2- by 2-foot transonic adaptive-wall test section at the NASA Ames Research Center

George Lee, Daniel G. Morgan, 1986 .

Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology

George Lee, Anant Madabhushi, Ajay Basavanhally, 2013, MICCAI.

MobiCom poster: the personal router

Xiaowei Yang, John Wroclawski, Ben Leong, 2003, MOCO.

A Decomposition Approach for Balancing Large-Scale Acyclic Data Flow Graphs

George Lee, Pro Rong Chang, George Lee, 1990, IEEE Trans. Computers.

Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data

George Lee, Anant Madabhushi, Pallavi Tiwari, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Human factors in railway operations

George Lee, Karen Priestley, 2008 .

Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images

George Lee, Anant Madabhushi, Michael D Feldman, 2016, Journal of medical imaging.

Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data

George Lee, Anant Madabhushi, Ajay Basavanhally, 2011, Comput. Medical Imaging Graph..

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, Anant Madabhushi, Michael D. Feldman, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2013, MICCAI.

Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2016, IEEE Transactions on Medical Imaging.

Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data

George Lee, Anant Madabhushi, David Edmundo Romo Bucheli, 2016, PloS one.

Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer

George Lee, Anant Madabhushi, Michael D. Feldman, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Histomorphometry of digital pathology: Case study in prostate cancer

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2014 .

Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings.

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2016, European urology focus.