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Deep-learning-based CT-CBCT image registration for adaptive radio therapy.

, , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113130Q. SPIE, (2020)

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Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy., , , , , and . WBIR, volume 12120 of Lecture Notes in Computer Science, page 44-53. Springer, (2020)Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)mlVIRNET: Multilevel Variational Image Registration Network., , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 257-265. Springer, (2019)Image Registration with Sliding Motion Constraints for 4D CT Motion Correction., , , and . Bildverarbeitung für die Medizin, page 335-340. Springer, (2015)Multilevel 2D-3D Intensity-Based Image Registration., and . WBIR, volume 12120 of Lecture Notes in Computer Science, page 57-66. Springer, (2020)MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (3): 483-491 (March 2023)Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans., , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (11): 1901-1912 (2019)Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge., , , , and . MICCAI (Challenges), volume 12587 of Lecture Notes in Computer Science, page 74-79. Springer, (2020)3D Visualisierung von Organismen., , , , , and . GI-Jahrestagung, volume P-208 of LNI, page 1535-1544. GI, (2012)Abstract: mlVIRNET., and . Bildverarbeitung für die Medizin, page 175. Springer, (2020)