1 citations · 1 across the 2 of their papers we have counts for
3 papers
Region-wise stacking ensembles for estimating brain-age using MRI
Georgios Antonopoulos, Shammi More, Simon B. Eickhoff +2
Predictive modeling using structural magnetic resonance imaging (MRI) data is a prominent approach to study brain-aging. Machine learning algorithms and feature extraction methods…
The impact of MRI image quality on statistical and predictive analysis on voxel based morphology
Felix Hoffstaedter, Nicolás Nieto, Simon B. Eickhoff +1
Image Quality of MRI brain scans is strongly influenced by within scanner head movements and the resulting image artifacts alter derived measures like brain volume and cortical thi…
Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites
Nicolás Nieto, Simon B. Eickhoff, Christian Jung +6
Machine learning (ML) models benefit from large datasets. Collecting data in biomedical domains is costly and challenging, hence, combining datasets has become a common practice. H…