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Pseudo-CT image generation from mDixon MRI images using fully convolutional neural networks.

, , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109530Z. SPIE, (2019)

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Unpaired Synthetic Image Generation in Radiology Using GANs., , , , and . AIRT@MICCAI, volume 11850 of Lecture Notes in Computer Science, page 94-101. Springer, (2019)A hybrid method for registration of interventional CT and ultrasound images., , , , and . CARS, volume 1268 of International Congress Series, page 492-497. Elsevier, (2004)Netzplantechnik. Handbuch der Verwaltung Heymann, Köln u.a., (1974)Continual Learning for Domain Adaptation in Chest X-ray Classification., , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 413-423. PMLR, (2020)Real-Time Interactive Viewing of 4D Kinematic MR Joint Studies., , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 467-473. Springer, (2005)Motion Compensation and Plane Tracking for Kinematic MR-Imaging., , , , and . CVBIA, volume 3765 of Lecture Notes in Computer Science, page 551-560. Springer, (2005)Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks., , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 693-703. Springer, (2022)Pseudo-CT image generation from mDixon MRI images using fully convolutional neural networks., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109530Z. SPIE, (2019)