Viswanath, S. E., Tiwari, P., Lee, G., & Madabhushi, A.(2017).Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.. BMC medical imaging, 17(1), 2.
De Leon, A., Lee, G., Shih, N., Elliott, R., Feldman, M., & Madabhushi, A.(2016).Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.. Journal of medical imaging (Bellingham, Wash.), 3(4), 047502.
Madabhushi, A., & Lee, G.(2016).Image analysis and machine learning in digital pathology: Challenges and opportunities.. Medical image analysis, 33(), 170-5.
Ginsburg, S., Lee, G., Karabalin, R., & Madabhushi, A.(2016).Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology.. IEEE transactions on medical imaging, 35(1), 76-88.
Veltri, R., Zhu, G., Lee, G., Karabalin, R., Madabhushi, A., & Cheng, C.(2015).Histomorphometry of Digital Pathology: Case Study in Prostate Cancer. FRONTIERS OF MEDICAL IMAGING,(), 301-325.
Lee, G., Singanamalli, A., Wang, Z., Feldman, M., Master, S., Shih, N., ... Madabhushi, A.(2015).Supervised multi-view canonical correlation analysis (sMVCCA): integrating histologic and proteomic features for predicting recurrent prostate cancer.. IEEE transactions on medical imaging, 34(1), 284-97.
Lee, G., Sparks, R., Karabalin, R., Shih, N., Feldman, M., Spangler, E., ... Madabhushi, A.(2014).Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients.. PloS one, 9(5), e97954.
Lee, G., Karabalin, R., Veltri, R., Epstein, J., Christudass, C., & Madabhushi, A.(2013).Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16(Pt 3), 396-403.
Ginsburg, S., Karabalin, R., Lee, G., Basavanhally, A., & Madabhushi, A.(2013).Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16(Pt 2), 238-45.
Golugula, A., Lee, G., Master, S., Feldman, M., Tomaszewski, J., Speicher, D., ... Madabhushi, A.(2011).Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.. BMC bioinformatics, 12(), 483.
Madabhushi, A., Agner, S., Basavanhally, A., Doyle, S., & Lee, G.(2011).Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 35(7-8), 506-14.
Tiwari, P., Viswanath, S. E., Lee, G., & Madabhushi, A.(2011).MULTI-MODAL DATA FUSION SCHEMES FOR INTEGRATED CLASSIFICATION OF IMAGING AND NON-IMAGING BIOMEDICAL DATA.. Proceedings. IEEE International Symposium on Biomedical Imaging, 2011(), 165-168.
Golugula, A., Lee, G., & Madabhushi, A.(2011).Evaluating feature selection strategies for high dimensional, small sample size datasets.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2011(), 949-52.
Golugula, A., Lee, G., Master, S., Feldman, M., Tomaszewski, J., & Madabhushi, A.(2011).Supervised regularized canonical correlation analysis: integrating histologic and proteomic data for predicting biochemical failures.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2011(), 6434-7.
Madabhushi, A., Doyle, S., Lee, G., Basavanhally, A., Monaco, J., Masters, S., ... Feldman, M.(2010).Integrated diagnostics: a conceptual framework with examples.. Clinical chemistry and laboratory medicine, 48(7), 989-98.
Lee, G., Rodriguez, C., & Madabhushi, A.(2008).Investigating the efficacy of nonlinear dimensionality reduction schemes in classifying gene and protein expression studies.. IEEE/ACM transactions on computational biology and bioinformatics, 5(3), 368-84.
