Search Results for author: Christian F. Beckmann

Found 3 papers, 2 papers with code

Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data

no code implementations31 Jul 2018 Seyed Mostafa Kia, Christian F. Beckmann, Andre F. Marquand

Most brain disorders are very heterogeneous in terms of their underlying biology and developing analysis methods to model such heterogeneity is a major challenge.

Anomaly Detection Multi-Task Learning

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

1 code implementation25 May 2020 Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand

Clinical neuroimaging has recently witnessed explosive growth in data availability which brings studying heterogeneity in clinical cohorts to the spotlight.

regression

Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping

1 code implementation5 Dec 2023 Hao-Chun Yang, Ole Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers

Altogether, we demonstrate a scalable approach for anomaly detection of complex brain disorders based on cortical abnormalities.

Anomaly Detection

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