Shannon C. Agner, Ph.D.
Affiliations: | 2011 | Graduate School - New Brunswick | Rutgers University, New Brunswick, New Brunswick, NJ, United States |
Area:
Biomedical Engineering, OncologyGoogle:
"Shannon Agner"Parents
Sign in to add mentor| Anant Madabhushi | grad student | 2011 | Rutgers, New Brunswick | |
| (A computerized image analysis framework for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with applications to breast cancer.) | ||||
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Publications
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| Agner SC, Rosen MA, Englander S, et al. (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: 91-9 |
| Hwuang E, Rusu M, Karthigeyan S, et al. (2014) Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9034 |
| Agner SC, 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: 032305 |
| Madabhushi A, Agner S, Basavanhally A, et al. (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: 506-14 |
| Agner SC, Soman S, Libfeld E, et al. (2011) Textural kinetics: A novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification Journal of Digital Imaging. 24: 446-463 |
| Agner SC, Xu J, Rosen M, et al. (2011) Spectral embedding based active contour (SEAC): Application to breast lesion segmentation on DCE-MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7963 |
| Basavanhally AN, Ganesan S, Agner S, et al. (2010) Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology. Ieee Transactions On Bio-Medical Engineering. 57: 642-53 |
| Madabhushi A, Basavanhally A, Doyle S, et al. (2010) Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis 2010 7th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2010 - Proceedings. 1415-1418 |
| Agner SC, Xu J, Fatakdawala H, et al. (2009) Segmentation and classification of triple negative breast cancers using dce-mri Proceedings - 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Isbi 2009. 1227-1230 |
| Agner SC, Soman S, Libfeld E, et al. (2008) Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6915 |