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Filter Forests for Learning Data-Dependent Convolutional Kernels., , , , , , , and . CVPR, page 1709-1716. IEEE Computer Society, (2014)Assessing Multiple Sclerosis With Kinect: Designing Computer Vision Systems for Real-World Use., , , , , , , and . Human-Computer Interaction, 31 (3-4): 191-226 (2016)Quantifying Registration Uncertainty With Sparse Bayesian Modelling., , , and . IEEE Trans. Med. Imaging, 36 (2): 607-617 (2017)A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images., , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 49-57. Springer, (2011)Dense stereo using pivoted dynamic programming., and . Image Vision Comput., 22 (10): 795-806 (2004)Object Class Segmentation using Random Forests., , and . BMVC, page 1-10. British Machine Vision Association, (2008)Fusion of Stereo, Colour and Contrast., , , , and . ISRR, volume 28 of Springer Tracts in Advanced Robotics, page 295-304. Springer, (2005)Geodesic image and video editing., , , and . ACM Trans. Graph., 29 (5): 134:1-134:15 (2010)Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements., , , and . Medical Image Analysis, (2017)Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning., , and . Foundations and Trends in Computer Graphics and Vision, 7 (2-3): 81-227 (2012)