63 citations · 92 across the 5 of their papers we have counts for
5 papers
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets
Fabio S. Ferreira, Agoston Mihalik, Rick A. Adams +2
Canonical Correlation Analysis (CCA) and its regularised versions have been widely used in the neuroimaging community to uncover multivariate associations between two data modaliti…
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology
Neil P. Oxtoby, Fabio S. Ferreira, Agoston Mihalik +12
We predicted residual fluid intelligence scores from T1-weighted MRI data available as part of the ABCD NP Challenge 2019, using morphological similarity of grey-matter regions acr…
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression
Agoston Mihalik, Mikael Brudfors, Maria Robu +12
We applied several regression and deep learning methods to predict fluid intelligence scores from T1-weighted MRI scans as part of the ABCD Neurocognitive Prediction Challenge (ABC…
Heat shock partially dissociates the overlapping modules of the yeast protein-protein interaction network: a systems level model of adaptation
Agoston Mihalik, Peter Csermely
Network analysis became a powerful tool in recent years. Heat shock is a well-characterized model of cellular dynamics. S. cerevisiae is an appropriate model organism, since both i…
Ageing as a price of cooperation and complexity: Self-organization of complex systems causes the ageing of constituent networks
Huba J. M. Kiss, Agoston Mihalik, Tibor Nanasi +4
The network concept is increasingly used for the description of complex systems. Here we summarize key aspects of the evolvability and robustness of the hierarchical network-set of…