Posterior temperature optimized Bayesian models for inverse problems in medical imaging

•We present Posterior Temperature Optimized Bayesian Inverse Model (POTOBIM).•A novel approximate Bayesian approach to inverse problems in medical imaging.•We use Bayesian optimization to tune the posterior temperature and the parameters of the prior distribution•We show its superiority to similar approaches on a variety of inverse medical image problems and modalities.