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AdamFlow offers a computationally efficient and robust alternative to existing surface registration methods by reformulating the problem as distributional optimization with a generalized Adam optimizer in probability space.
The medical imaging AI community is being held back by a fragmented data landscape, but a new metadata-driven fusion paradigm offers a path to unlocking the power of foundation models.
