AI RESEARCH
AdamFlow: Adam-based Wasserstein Gradient Flows for Surface Registration in Medical Imaging
arXiv CS.CV
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ArXi:2604.02290v1 Announce Type: new Surface registration plays an important role for anatomical shape analysis in medical imaging. Existing surface registration methods often face a trade-off between efficiency and robustness. Local point matching methods are computationally efficient, but vulnerable to noise and initialisation. Methods designed for global point set alignment tend to incur a high computational cost.