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Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides., , , , , , и . IEEE Trans. Biomed. Eng., 60 (8): 2089-2099 (2013)Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk., , , , , , , и . IEEE Trans. Biomed. Eng., 62 (6): 1585-1594 (2015)Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 8315 из SPIE Proceedings, стр. 831525. SPIE, (2012)Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 90350X. SPIE, (2014)A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology., , , , , , и . ISBI, стр. 125-128. IEEE, (2011)Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk., , , , , , и . MICCAI (2), том 8150 из Lecture Notes in Computer Science, стр. 295-302. Springer, (2013)A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model., , , , , , и . MICCAI (3), том 6893 из Lecture Notes in Computer Science, стр. 546-553. Springer, (2011)