An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets. - Raissa Souza; Emma A. M. Stanley; Milton Camacho; Matthias Wilms; Nils D. Forkert (Computer-Aided Diagnosis, 2023)

Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inference. - Vibujithan Vigneshwaran; Matthias Wilms; Milton Ivan Camacho; Raissa Souza; Nils D. Forkert (MIDL, 2023)

Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data. - Raissa Souza; Matthias Wilms; Milton Camacho; G. Bruce Pike; Richard Camicioli; Oury Monchi; Nils D. Forkert (J. Am. Medical Informatics Assoc., 2023)

A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm. - Raissa Souza; Emma A. M. Stanley; Milton Camacho; Richard Camicioli; Oury Monchi; Zahinoor Ismail; Matthias Wilms; Nils D. Forkert (Frontiers Artif. Intell., 2024)

Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier? - Raissa Souza; Anthony J. Winder; Emma A. M. Stanley; Vibujithan Vigneshwaran; Milton Camacho; Richard Camicioli; Oury Monchi; Matthias Wilms; Nils D. Forkert (IEEE J. Biomed. Health Informatics, 2024)