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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control.

, , , and . NeuroImage, (2019)

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Ultrasound Mosaicing and Motion Modeling - Applications in Medical Image Registration.. Universität München, (2011)MRI Composing for Whole Body Imaging., , , , , , and . Bildverarbeitung für die Medizin, page 420-424. Springer, (2009)Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning., and . CoRR, (2015)BrainPrint : Identifying Subjects by Their Brain., , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 41-48. Springer, (2014)'Squeeze & excite' guided few-shot segmentation of volumetric images., , , , and . Medical Image Analysis, (2020)Importance Driven Continual Learning for Segmentation Across Domains., , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 423-433. Springer, (2020)Deep Multi-structural Shape Analysis: Application to Neuroanatomy., and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 523-531. Springer, (2018)Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks., , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 421-429. Springer, (2018)Alignment of Viewing-Angle Dependent Ultrasound Images., and . MICCAI (1), volume 5761 of Lecture Notes in Computer Science, page 779-786. Springer, (2009)Deformable Mosaicing for Whole-Body MRI., , , , , , and . MICCAI (2), volume 5242 of Lecture Notes in Computer Science, page 113-121. Springer, (2008)