This page shows the publications Koen Van Leemput has written about Bayes Theorem.
Sabuncu MR, Van Leemput K. The relevance voxel machine (RVoxM): a self-tuning Bayesian model for informative image-based prediction. IEEE Trans Med Imaging. 2012 Dec; 31(12):2290-306.
Sabuncu MR, Van Leemput K. The Relevance Voxel Machine (RVoxM): a Bayesian method for image-based prediction. Med Image Comput Comput Assist Interv. 2011; 14(Pt 3):99-106.
Van Leemput K, Bakkour A, Benner T, Wiggins G, Wald LL, Augustinack J, Dickerson BC, Golland P, Fischl B. Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI. Hippocampus. 2009 Jun; 19(6):549-57.
Van Leemput K. Encoding probabilistic brain atlases using Bayesian inference. IEEE Trans Med Imaging. 2009 Jun; 28(6):822-37.
Iglesias JE, Sabuncu MR, Van Leemput K. Improved inference in Bayesian segmentation using Monte Carlo sampling: application to hippocampal subfield volumetry. Med Image Anal. 2013 Oct; 17(7):766-78.
Iglesias JE, Sabuncu MR, Van Leemput K. Incorporating parameter uncertainty in Bayesian segmentation models: application to hippocampal subfield volumetry. Med Image Comput Comput Assist Interv. 2012; 15(Pt 3):50-7.
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