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ORCIDShoshana Ginsburg
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2010 – 2019
- 2016
[j1]Shoshana B. Ginsburg, George Lee, Sahirzeeshan Ali, Anant Madabhushi
:
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. IEEE Trans. Medical Imaging 35(1): 76-88 (2016)- 2014
- [c5]Shoshana B. Ginsburg, Mirabela Rusu, John Kurhanewicz, Anant Madabhushi:
Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer. Medical Imaging: Computer-Aided Diagnosis 2014: 903509 - [c4]Haibo Wang, Asha Singanamalli, Shoshana Ginsburg, Anant Madabhushi:
Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis. MICCAI (3) 2014: 385-392 - 2013
- [c3]Shoshana B. Ginsburg, B. Nicolas Bloch, Neil M. Rofsky, Elizabeth M. Genega, Robert E. Lenkinski, Anant Madabhushi:
Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI. Medical Imaging: Computer-Aided Diagnosis 2013: 86701J - [c2]Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi:
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. MICCAI (2) 2013: 238-245 - 2011
- [c1]Shoshana Ginsburg, Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi:
Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading. Prostate Cancer Imaging 2011: 146-157
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