A four-objective self-supervised pretraining recipe on a 336k-volume multi-sequence MRI corpus yields first-rank transfer on 39 of 44 downstream MRI tasks.
Minimizing estimated risks on unlabele d data: A new formulation for semi- supervised medical image segmentation
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Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications
A four-objective self-supervised pretraining recipe on a 336k-volume multi-sequence MRI corpus yields first-rank transfer on 39 of 44 downstream MRI tasks.