 Critically, we show that input labels  need not be of actual anatomy: training on randomly synthesized shapes , or supervoxels, results in competitive registration performance and makes the network agnostic to anatomy and contrast, all while eradicating the need for real data .
<clarity>  Critically, we show that input labels  need not be of actual anatomy: training on randomly synthesized shapes , or supervoxels, results in competitive registration performance and makes the network agnostic to anatomy and contrast, all while eradicating the need for real data .
 Critically, we show that input labels from which we synthesize images need not be of actual anatomy: training on randomly synthesized shapes , or supervoxels, results in competitive registration performance and makes the network agnostic to anatomy and contrast, all while eradicating the need for real data .