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Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders., , , , and . CoRR, (2019)Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks., , , , and . CoRR, (2017)Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans., , , , , and . ISBI, page 416-419. IEEE, (2016)Dense Long-term Motion Estimation via Statistical Multi-step Flow., , , and . VISAPP (3), page 545-554. SciTePress, (2014)Automatic detection of multiple pathologies in fundus photographs using spin-off learning., , , , and . CoRR, (2019)Adaptive strategy for superpixel-based region-growing image segmentation., , , , and . CoRR, (2018)Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection., , , and . ICIP, page 3860-3864. IEEE, (2013)Unsupervised learning-based long-term superpixel tracking., , , , and . Image Vision Comput., (2019)CATARACTS: Challenge on automatic tool annotation for cataRACT surgery, , , , , , , , , and 28 other author(s). Medical Image Analysis, (2019)Multi-step flow fusion: towards accurate and dense correspondences in long video shots., , , , and . BMVC, page 1-12. BMVA Press, (2012)