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Medical imaging machine learning algorithms are usually evaluated on a single dataset.
Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain
Tzourio-Mazoyer · 2002
Earlier work this paper cites.
The australian imaging, biomarkers and lifestyle (aibl) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of alzheimer’s disease
Kathryn Allis · 2009
Earlier work this paper cites.
Clinical core of the alzheimer’s disease neuroimaging initiative: progress and plans
Aisen PS · 2010
Earlier work this paper cites.
Unbiased look at dataset bias
Antonio Torralba and Alexei A. Efros · 2011
Cited alongside, same era.
Undoing the damage of dataset bias, 2012
Aditya Khosla, Tinghui Zhou, Tomasz Malisiewicz, Alexei Efros, and Antonio Torralba · 2012
Cited alongside, same era.
Beyond dataset bias: Multi-task unaligned shared knowledge transfer
Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, and ChristophH. Lampert · 2013
Cited alongside, same era.
Learning fair representations
Richard S. Zemel, Yu Wu, Kevin Swersky, Toniann Pitassi, and Cynthia Dwork · 2013
Later among the works it cites.
Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor S. Lempitsky · 2016
Later among the works it cites.
Domain adaptation for alzheimer’s disease diagnostics
Christian Wachinger and Martin Reuter · 2016
Later among the works it cites.
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