Encoding atlases by randomized classification forests for efficient multi-atlas label propagation

Author:

Zikic D.,Glocker B.,Criminisi A.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference35 articles.

1. Simultaneous truth and performance level estimation through fusion of probabilistic segmentations;Akhondi-Asl;IEEE TMI,2013

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3. Asman, A., Landman, B., 2012a. Multi-atlas segmentation using spatial STAPLE. In: MICCAI Workshop on Multi-Atlas Labeling.

4. Asman, A.J., Landman, B.A., 2012b. Multi-atlas segmentation using non-local STAPLE. In: MICCAI Workshop on Multi-Atlas Labeling.

5. Asman, A., Akhondi-Asl, A., Wang, H., Tustison, N., Avants, B., Warfield, S.K., Landman, B., 2013. Miccai 2013 segmentation algorithms, theory and applications (sata) challenge results summary. In: MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and Applications (SATA).

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