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Lori R. Arlinghaus
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2010 – 2019
- 2017
- [j4]Dong Wang
, Lori R. Arlinghaus
, Thomas E. Yankeelov
, Xiaoping Yang, David S. Smith
:
Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. Int. J. Biomed. Imaging 2017: 7835749:1-7835749:11 (2017) - [c4]Rebekah H. Griesenauer
, Jared A. Weis, Lori R. Arlinghaus
, Ingrid M. Meszoely, Michael I. Miga:
Towards quantitative quasi-static elastography with a gravity-induced deformation source. Medical Imaging: Image-Guided Procedures 2017: 1013502 - 2016
- [c3]Joseph B. DeGrandchamp
, Jennifer G. Whisenant, Lori R. Arlinghaus
, Vandana G. Abramson, Thomas E. Yankeelov
, Julio Cárdenas-Rodríguez:
Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978811 - 2015
- [j3]Rebekah H. Conley
, Ingrid M. Meszoely, Jared A. Weis
, Thomas S. Pheiffer, Lori R. Arlinghaus
, Thomas E. Yankeelov
, Michael I. Miga:
Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. Int. J. Comput. Assist. Radiol. Surg. 10(12): 1985-1996 (2015) - 2013
- [j2]Subramani Mani, Yukun Chen, Xia Li, Lori R. Arlinghaus
, A. Bapsi Chakravarthy, Vandana G. Abramson
, Sandeep R. Bhave, Mia A. Levy, Hua Xu, Thomas E. Yankeelov
:
Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. J. Am. Medical Informatics Assoc. 20(4): 688-695 (2013) - [c2]David S. Smith
, Lori R. Arlinghaus
, Thomas E. Yankeelov
, Edward B. Welch:
Curvelets as a sparse basis for compressed sensing magnetic resonance imaging. Medical Imaging: Image Processing 2013: 866929 - 2012
- [j1]David S. Smith
, Xia Li, James V. Gambrell, Lori R. Arlinghaus
, Christopher Chad Quarles, Thomas E. Yankeelov
, E. Brian Welch
:
Robustness of Quantitative Compressive Sensing MRI: The Effect of Random Undersampling Patterns on Derived Parameters for DCE- and DSC-MRI. IEEE Trans. Medical Imaging 31(2): 504-511 (2012) - [c1]Xia Li, Lori R. Arlinghaus
, A. Bapsi Chakravarthy, Jaime Farley, Ingrid A. Mayer, Vandana G. Abramson, Mark C. Kelley, Ingrid M. Meszoely, Julie Means-Powell, Thomas E. Yankeelov
:
Early DCE-MRI Changes after Longitudinal Registration May Predict Breast Cancer Response to Neoadjuvant Chemotherapy. WBIR 2012: 229-235
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