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eess.IV2024
Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces
Hao-Chun Yang, Sicheng Dai, Saige Rutherford +4
Unsupervised anomaly detection in brain imaging is challenging. In this paper, we propose self-supervised masked mesh learning for unsupervised anomaly detection on 3D cortical sur…
eess.IV2023
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping
Hao-Chun Yang, Ole Andreassen, Lars Tjelta Westlye +3
The detection of heterogeneous mental disorders based on brain readouts remains challenging due to the complexity of symptoms and the absence of reliable biomarkers. This paper int…