Deep learning-based image reconstruction approaches have demonstrated impressive empirical performance in many imaging modalities. These usually require a large amount of high-quality paired training data, which is often not available medical imaging. To circumvent this issue we develop novel unsupervised knowledge-transfer paradigm for learned within Bayesian framework. The proposed approach l...