Shridar Ganesan

Patents Pending

2010, "Image-based risk score-a prognostic predictor of survival and outcome from digital histopathology" US20120106821, Anant Madabhushi, Ajay Basavanhally, & Shridar Ganesan.

Publications

Li, H., Bera, K., Toro, P., Fu, P., Zhang, Z., Lu, C., Feldman, M., Ganesan, S., Goldstein, L., Davidson, N., & Others, N. (2021). Collagen fiber orientation disorder from H\&E images is prognostic for early stage breast cancer: clinical trial validation. npj Breast Cancer, 7 (1), 1--10.
Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Lu, C., Romo-Bucheli, D., WAng, X., Janowczyk, A., Ganesan, S., Gilmore, H., Rimm, D., & Madabhushi, A. (2018). Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation, 98 (11), 1438-1448.
Lu, C., Romo-Bucheli, D., WAng, X., Janowczyk, A., Ganesan, S., Gilmore, H., Rimm, D., & Madabhushi, A. (2018). Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers. Laboratory Investigation.
Whitney, J., Corredor-Prada, G., Janowczyk, A., Ganesan, S., Doyle, S., Tomaszewski, J., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer, 18 (1).
Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N., Tomaszewski, J., Madabhushi, A., & Gonz�lez, F. (2018). High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection. PLoS ONE, 13 (5).
Verma, N., Harding, D., Mohammadi, A., Goldstein, L., Gilmore, H., Feldman, M., Tomaszewski, J., Basavanhally, A., Lloyd, M., Fu, P., Ganesan, S., Davidson, N., Madabhushi, A., & Monaco, J. (2018). Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197.. Journal of Clinical Oncology, 36 (15_suppl), 540-540.
Whitney, J., Romeo-Bucheli, D., Janowczyk, A., Ganesan, S., Feldman, M., Gilmore, H., & Madabhushi, A. (2018). Abstract P4-09-11: Computer extracted features of tumor grade from H&E images predict oncotype DX risk categories for early stage ER+ breast cancer. Cancer Research, 78 (4 Supplement), P4-09-11-P4-09-11.
Karabalin, R., Rimm, D., Ganesan, S., & Madabhushi, A. (2016). Abstract P5-07-12: Local nuclear architecture features from H&E images predict early versus distant recurrence in lymph node negative, ER+ breast cancers. Cancer Research [00085472], 76 (4 Supplement), P5-07-12-P5-07-12.
Xu, J., Xiang, L., Wang, P., Ganesan, S., Feldman, M., Shih, N., Gilmore, H., & Madabhushi, A. (2015). Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 46 Pt 1 , 20-9.
Basavanhally, A., Ganesan, S., Feldman, M., Shih, N., Miesner, C., Tomaszewski, J., & Madabhushi, A. (2013). Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.. IEEE transactions on bio-medical engineering, 60 (8), 2089-99.
Basavanhally, A., Feldman, M., Shih, N., Miesner, C., Tomaszewski, J., Ganesan, S., & Madabhushi, A. (2011). Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX.. Journal of pathology informatics, 2 , S1.
Fatakdawala, H., Xu, J., Basavanhally, A., Bhanot, G., Ganesan, S., Feldman, M., Tomaszewski, J., & Madabhushi, A. (2010). Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology.. IEEE transactions on bio-medical engineering, 57 (7), 1676-89.
Juan, D., Alexe, G., Antes, T., Liu, H., Madabhushi, A., Delisi, C., Ganesan, S., Bhanot, G., & Liou, L. (2010). Identification of a microRNA panel for clear-cell kidney cancer.. Urology, 75 (4), 835-41.
Basavanhally, A., Ganesan, S., Agner, S., Monaco, J., Feldman, M., Tomaszewski, J., Bhanot, G., & Madabhushi, A. (2010). Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.. IEEE transactions on bio-medical engineering, 57 (3), 642-53.
Alexe, G., Monaco, J., Doyle, S., Basavanhally, A., Reddy, A., Seiler, M., Ganesan, S., Bhanot, G., & Madabhushi, A. (2009). Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging.. Experimental biology and medicine (Maywood, N.J.), 234 (8), 860-79.