Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder

Bernard Cobbinah Mawuli, Christian Sorg, Qinli Yang, Arvid Ternblom, Changgang Zheng, Wei Han, Liwei Che, Junming Shao

Abstract: Highlights•We propose an adversarial autoencoder method to reduce MRI variations in AD.•Robust to variations that exist in multi-center MRI-scans in AD classification.•The proposed method gives better performance than baseline approaches.•It provides a fully automatic end-to-end approach for AD classification.