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Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation., , , , , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 352-360. (2016)Scalable sparse shape composition and its application to liver surgical planning., , and . ISBI, page 377-380. IEEE, (2014)NiftyNet: a deep-learning platform for medical imaging., , , , , , , , , and 6 other author(s). CoRR, (2017)Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks., , , , , and . Neurocomputing, (2019)Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views., , , , , , , , , and . Medical Image Analysis, (2016)DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation., , , , , , , , , and 1 other author(s). CoRR, (2017)MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images., , , , , , , , , and 22 other author(s). CoRR, (2022)Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning., , , , , , , , , and 1 other author(s). CoRR, (2017)Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system., , , and . EMBC, page 6075-6078. IEEE, (2013)Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation., , , and . Frontiers Comput. Neurosci., (2019)