Selective effects of aging on brain white matter microstructure: A diffusion tensor imaging tractography study. - Stijn Michielse; Nick Coupland; Richard Camicioli; Rawle Carter; Peter Seres; Jennifer Sabino; Nikolai Malykhin (NeuroImage, 2010)

Diffusion tensor imaging of white matter tract evolution over the lifespan. - Catherine Lebel; Myrlene Gee; Richard Camicioli; Marguerite Wieler; Wayne Martin; Christian Beaulieu (NeuroImage, 2012)

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)

Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks. - Kauê T. N. Duarte; David G. Gobbi; Abhijot S. Sidhu; Cheryl R. McCreary; Feryal Saad; Richard Camicioli; Eric E. Smith; Richard Frayne (Pattern Recognit. Lett., 2023)

Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis? - Raissa Souza; Emma A. M. Stanley; Richard Camicioli; Oury Monchi; Zahinoor Ismail; Matthias Wilms; Nils D. Forkert (FAIMI/EPIMI@MICCAI, 2024)

Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. - Kauê T. N. Duarte; Abhijot S. Sidhu; Murilo Costa de Barros; David G. Gobbi; Cheryl R. McCreary; Feryal Saad; Richard Camicioli; Eric E. Smith; Mariana P. Bento; Richard Frayne (Frontiers Comput. Neurosci., 2024)

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)

Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis. - Raissa Souza; Emma A. M. Stanley; Anthony J. Winder; Chris Kang; Kimberly Amador; Erik Y. Ohara; Gabrielle Dagasso; Richard Camicioli; Oury Monchi; Zahinoor Ismail; Matthias Wilms; Nils D. Forkert (npj Digit. Medicine, 2025)