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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.

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Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score., , , , , and . Medical Image Analysis, 13 (4): 609-620 (2009)Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge., , , , , , , , , and 18 other author(s). Medical Image Analysis, 18 (2): 359-373 (2014)eCurves: A Temporal Shape Encoding., , , , , , , , and . IEEE Trans. Biomed. Engineering, 65 (4): 733-744 (2018)Field of View Normalization in Multi-Site Brain MRI., , , , , , , , , and . Neuroinformatics, 16 (3-4): 431-444 (2018)Right ventricle segmentation from cardiac MRI: A collation study., , , , , , , , , and 19 other author(s). Medical Image Analysis, 19 (1): 187-202 (2015)MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection., , , , , , , , and . NeuroImage, (2016)Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration., , , and . WBIR, volume 7359 of Lecture Notes in Computer Science, page 209-219. Springer, (2012)Temporal Shape Analysis via the Spectral Signature., , , , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 49-56. Springer, (2012)Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights., , , , and . IEEE Trans. Med. Imaging, 33 (10): 2039-2065 (2014)Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery., , , , , , , , , and 5 other author(s). POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, volume 11042 of Lecture Notes in Computer Science, page 165-171. Springer, (2018)