Richard Camicioli

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 4

Top Topics

Probabilistic Classifiers

Distributed Learning

Magnetic Resonance Images

Top Venues

IEEE J. Biomed. Health Informatics

J. Am. Medical Informatics Assoc.

Frontiers Artif. Intell.

Pattern Recognit. Lett.

Publications

Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm. Frontiers Artif. Intell. 7 (2024)
Raissa Souza, Anthony J. Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli, Oury Monchi, Matthias Wilms, Nils D. Forkert
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier? IEEE J. Biomed. Health Informatics 28 (4) (2024)
Raissa Souza, Matthias Wilms, Milton Camacho, G. Bruce Pike, Richard Camicioli, Oury Monchi, Nils D. Forkert
Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Kauê T. N. Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Richard Frayne
Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks. Pattern Recognit. Lett. 175 (2023)
Catherine Lebel, M. Gee, Richard Camicioli, M. Wieler, W. Martin, Christian Beaulieu
Diffusion tensor imaging of white matter tract evolution over the lifespan. NeuroImage 60 (1) (2012)
Stijn Michielse, Nick Coupland, Richard Camicioli, Rawle Carter, Peter Seres, Jennifer Sabino, Nikolai Malykhin
Selective effects of aging on brain white matter microstructure: A diffusion tensor imaging tractography study. NeuroImage 52 (4) (2010)