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A decision forest based feature selection framework for action recognition from RGB-depth cameras.

, , , , and . SIU, page 1-4. IEEE, (2013)

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Interactive segmentation in MRI for orthopedic surgery planning: bone tissue., , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (6): 1031-1039 (2017)Active learning for segmentation based on Bayesian sample queries., , , , and . Knowl. Based Syst., (2021)Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker., , and . MCV/BAMBI@MICCAI, volume 10081 of Lecture Notes in Computer Science, page 83-93. Springer, (2016)Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy., , , , and . CoRR, (2018)Generative Adversarial Networks for MR-CT Deformable Image Registration., , , , , and . CoRR, (2018)Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images., , and . MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 361-369. Springer, (2018)Active Learning for Segmentation Based on Bayesian Sample Queries., , , , and . CoRR, (2019)Extending Pretrained Segmentation Networks with Additional Anatomical Structures., and . CoRR, (2018)Registration of 3D freehand ultrasound to a bone model for orthopedic procedures of the forearm., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (6): 827-836 (2018)Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation., , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 256-264. (2016)