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In this report, we suggest a multi-task learning based registration network with anatomical constraint to address these issues. The recommended strategy uses a cycle constraint reduction to produce forward/backward enrollment and an inverse constraint loss to motivate diffeomorphic enrollment. In addition, an adaptive anatomical constraint targeting regularizing the enrollment system if you use anatomical labels is introduced through poor supervisi
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