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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)Modeling multiple sclerosis using mobile and wearable sensor data., , , , , , , , , and . npj Digit. Medicine, (2024)Learning Summary Statistics for Bayesian Inference with Autoencoders., , , , and . CoRR, (2022)Active Learning for Segmentation Based on Bayesian Sample Queries., , , , and . CoRR, (2019)Retrospective Uncertainties for Deep Models using Vine Copulas., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7528-7539. PMLR, (2023)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)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)