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Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration
IEEE Transactions on Medical Imaging, 1746-1757, 2017
Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration
In: MICCAI Workshop on Pulmonary Image Analysis (PIA), 16th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, Nagoya, Japan , 2013
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 309-314, 2019
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
International Journal of Computer Assisted Radiology and Surgery, 14, 11, 1901-1912, 2019
English
DeutschMedizinische Informatik
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Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
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Ratzeburger Allee 160
23538 Lübeck
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Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland