10 citations · 10 across the 3 of their papers we have counts for
4 papers
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…
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
Saige Rutherford, Thomas Wolfers, Charlotte Fraza +4
Reference classes in healthcare establish healthy norms, such as pediatric growth charts of height and weight, and are used to chart deviations from these norms which represent pot…
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…
Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data
Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga +6
Clinical neuroimaging has recently witnessed explosive growth in data availability which brings studying heterogeneity in clinical cohorts to the spotlight. Normative modeling is a…