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MR-contrast-aware image-to-image translations with generative adversarial networks.

Jonas DenckJens GuehringAndreas MaierEva Rothgang
Published in: International journal of computer assisted radiology and surgery (2021)
Our model is the first that enables fine-tuned contrast synthesis, which can be used to synthesize missing MR-contrasts or as a data augmentation technique for AI training in MRI. It can also be used as basis for other image-to-image translation tasks within medical imaging, e.g., to enhance intermodality translation (MRI → CT) or 7 T image synthesis from 3 T MR images.
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