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DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration.

, , , and . Medical Image Anal., 18 (3): 449-459 (2014)

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Analytical and fast Fiber Orientation Distribution reconstruction in 3D-Polarized Light Imaging., , , , , , and . Medical Image Anal., (2020)Evaluation of Multi-Channel Image Registration in Microscopy., , , and . Bildverarbeitung für die Medizin, page 299-304. Springer, (2017)DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration., , , and . Medical Image Anal., 18 (3): 449-459 (2014)Automatic detection of registration errors for quality assessment in medical image registration., , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72590K. SPIE, (2009)DIRBoost: An algorithm for boosting deformable image registration., , and . ISBI, page 1339-1342. IEEE, (2012)Analyzing Regional Organization of The Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding., , , , , , , and . ISBI, page 1-5. IEEE, (2024)On Combining Algorithms for Deformable Image Registration., , and . WBIR, volume 7359 of Lecture Notes in Computer Science, page 256-265. Springer, (2012)The truth is hard to make: Validation of medical image registration., , , and . ICPR, page 2294-2300. IEEE, (2016)Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration., , , and . Medical Image Anal., 16 (8): 1521-1531 (2012)Learning-Based Approaches to Deformable Image Registration.. Utrecht University, Netherlands, (2014)base-search.net (ftunivutrecht:oai:dspace.library.uu.nl:1874/363668).