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Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk.

, , , , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 295-302. Springer, (2013)

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A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model., , , , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 546-553. Springer, (2011)Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk., , , , , , , and . IEEE Trans. Biomed. Eng., 62 (6): 1585-1594 (2015)Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90350X. SPIE, (2014)PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care., , , , , , , , , and 1 other author(s). CoRR, (2024)A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk., , , , , and . IEEE Trans. Medical Imaging, 32 (4): 637-648 (2013)Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk., , , , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 295-302. Springer, (2013)Mammographic parenchymal texture as an imaging marker of hormonal activity: a comparative study between pre- and post-menopausal women., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79631N. SPIE, (2011)OsteoConduct: wireless body-area communication based on bone conduction., , , , , and . BODYNETS, page 9. ICST, (2007)