2010,"System and Method for Automated Segmentation, Characterization, and Classification of possibly malignant Lesions and Stratification of Malignant tumors"US 2011/0026798 A1,Anant Madabhushi, Shannon Agner, & Mark Rosen.
Publications
Agner, S., Rosen, M., Englander, S., Tomaszewski, J., Feldman, M., Zhang, P., Miesner, C., Schnall, M., & Madabhushi, A.(2014).Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study..Radiology,272(1),91-9.
Agner, S., Rosen, M., Englander, S., Tomaszewski, J., Feldman, M., Zhang, P., Miesner, C., Schnall, M., & Madabhushi, A.(2014).Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study..Radiology.
Madabhushi, A., & Agner, S.(2013).Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.Medical Physics,40(3),feature article.
Agner, S., Xu, J., & Madabhushi, A.(2013).Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging..Medical physics,40(3),032305.
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.
Agner, S., Soman, S., Libfeld, E., McDonald, M., Thomas, K., Englander, S., Rosen, M., Chin, D., Nosher, J., & Madabhushi, A.(2011).Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification..Journal of digital imaging,24(3),446-63.
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.
