1 code implementation • 5 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.
no code implementations • 3 Jun 2022 • Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien Pluim, Wiepke Cahn, Hugo G. Schnack
In this method, there is no need to remove or impute the missing values; instead, the missing values are treated as a new source of information (representing what we do not know).
1 code implementation • 25 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.
1 code implementation • 12 Dec 2018 • Seyed Mostafa Kia, Andre F. Marquand
Normative modeling has recently been introduced as a promising approach for modeling variation of neuroimaging measures across individuals in order to derive biomarkers of psychiatric disorders.
no code implementations • 31 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.