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Autor:
Yang, Hao-Chun, Dai, Sicheng, Rutherford, Saige, Marquand, Christian Gaser Andre F, Beckmann, Christian F, Wolfers, Thomas
Unsupervised anomaly detection in brain imaging is challenging. In this paper, we propose a self-supervised masked mesh learning for unsupervised anomaly detection in 3D cortical surfaces. Our framework leverages the intrinsic geometry of the cortica
Externí odkaz:
http://arxiv.org/abs/2412.05580