Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis

•Small sample sizes are a challenge when using deep learning (DL) on fMRI data.•We examined effects of a data augmentation procedure called Mixup on fMRI DL.•Mixup improved dl-based prediction of clinical outcome in psychosis using fMRI data.