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3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function.

, , , , , , , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 587-594. Springer, (2011)

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Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks., , , , , , , , , and . Frontiers Neuroinformatics, (2019)Visual Dictionary Learning for Joint Object Categorization and Segmentation., , , and . ECCV (5), volume 7576 of Lecture Notes in Computer Science, page 718-731. Springer, (2012)Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models., , , and . CoRR, (2024)Representational Distance Learning for Deep Neural Networks., and . CoRR, (2015)A new deformable model-based segmentation approach for accurate extraction of the kidney from abdominal CT images., , , , , , , and . ICIP, page 3393-3396. IEEE, (2011)Parallel Weight Consolidation: A Brain Segmentation Case Study., , , , , , and . CoRR, (2018)Concrete Safety for ML Problems: System Safety for ML Development and Assessment., , , , and . CoRR, (2023)VICE: Variational Interpretable Concept Embeddings., , , , , and . NeurIPS, (2022)A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model., , , , , , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 114-121. Springer, (2012)Knowing what you know in brain segmentation using deep neural networks., , , , , , , , , and . CoRR, (2018)