Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers
Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.
brendan-d.-adkinson
Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.
Power and reproducibility in the external validation of brain-phenotype predictions.
Network controllability of structural connectomes in the neonatal brain.
Cross Atlas Remapping via Optimal Transport (CAROT) for creating connectomes across different atlases.
Associations of physical frailty with health outcomes and brain structure in the UK Biobank.
Altered brain dynamics across bipolar disorder and schizophrenia during rest and task-switching.
A review and primer on machine learning and prediction in fetal, infant, and toddler neuroimaging.