C. Miesner

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.
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.
Brunner, K., Miesner, C., Abstreiter, G., Kienzle, O., & Ernst, F. (2000). Self-Organized Periodic Arrays of SiGe Wires and Ge Islands on Miscut Si Substrates. Physica A, 7 , 881–886.