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Early DCE-MRI Changes after Longitudinal Registration May Predict Breast Cancer Response to Neoadjuvant Chemotherapy.

, , , , , , , , , and . WBIR, volume 7359 of Lecture Notes in Computer Science, page 229-235. Springer, (2012)

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Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRI., , , , , , and . IEEE Trans. Medical Imaging, 31 (2): 504-511 (2012)Early DCE-MRI Changes after Longitudinal Registration May Predict Breast Cancer Response to Neoadjuvant Chemotherapy., , , , , , , , , and . WBIR, volume 7359 of Lecture Notes in Computer Science, page 229-235. Springer, (2012)Curvelets as a sparse basis for compressed sensing magnetic resonance imaging., , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866929. SPIE, (2013)Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 978811. SPIE, (2016)Towards quantitative quasi-static elastography with a gravity-induced deformation source., , , , and . Medical Imaging: Image-Guided Procedures, volume 10135 of SPIE Proceedings, page 1013502. SPIE, (2017)