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Robust Statistical Label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE).

, and . IEEE Trans. Med. Imaging, 30 (10): 1779-1794 (2011)

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Correction to "Formulating Spatially Varying Performance in the Statistical Fusion Framework"., and . IEEE Trans. Med. Imaging, 31 (7): 1505 (2012)Out-of-atlas labeling: A multi-atlas approach to cancer segmentation., and . ISBI, page 1236-1239. IEEE, (2012)Multi-atlas learner fusion: An efficient segmentation approach for large-scale data., , , and . Medical Image Anal., 26 (1): 82-91 (2015)Foibles, follies, and fusion: Web-based collaboration for medical image labeling., , , , , and . NeuroImage, 59 (1): 530-539 (2012)Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX., , , , and . MICCAI (2), volume 6892 of Lecture Notes in Computer Science, page 107-115. Springer, (2011)Shape-constrained multi-atlas segmentation of spleen in CT., , , , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903446. SPIE, (2014)Multi-Atlas Segmentation through Rater Performance Modeling: Theory and Applications.. Vanderbilt University, Nashville, Tennessee, USA, (2014)base-search.net (ftvanderbilt:oai:ir.vanderbilt.edu:1803/12166).Applying the algorithm ässessing quality using image registration circuits" (AQUIRC) to multi-atlas segmentation., , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90341F. SPIE, (2014)Groupwise multi-atlas segmentation of the spinal cord's internal structure., , , , and . Medical Image Anal., 18 (3): 460-471 (2014)Hierarchical performance estimation in the statistical label fusion framework., and . Medical Image Anal., 18 (7): 1070-1081 (2014)