bayesian analysis

Smarter MRI image analysis for the whole heart

1 min read · Thu, Jan 22 2026

bayesian analysis Bayesian Statistics

A Bayesian approach that selects the most informative frames for manual labeling could speed up real-time heart MRI analysis.

Bayesian image analysis in Fourier space (BIFS) models and some relationships with Markov random fields

Prof. John Kornak, Biostatistics, University of California, San Francisco

Oct 14, 16:30 - 17:45

B4 B5 A0215

bayesian analysis

Abstract For over 30 years, Bayesian image analysis has provided an important pathway to image reconstruction and enhancement, by balancing a priori expectations of image characteristics with a model for the noise process. The conventional Bayesian modeling approach defined in image space implements priors that describe inter-dependence between spatial locations (and can therefore be difficult to model and compute). However, similar models can be developed more conveniently in Fourier transformed space as a large set of independent processes. The originally complex high-dimensional estimation