Predictive Magnetic Resonance Temperature Imaging with Machine Learning

Keywords

ability academic accelerating accuracy actual adjacent agree amount artifact artifacts assess background biomedical blue brain calculating cancer comparing compute conductivity confidence consecutive contaminated contaminations cooling correction corrupted covariance dependent deviation distribution dynamically easily equation estimating examined exceeding facilitating fall fiber field free fully function functions future gives good gradient gradients graduate guided heating human identifying immediate includes induced inputs instead interstitial interval investigated john laser learning limited limits located look loss machine magnitude maps materials maximizing measuring mesh minimize missing model modeled modeling models monitoring motion necessary needed neurosurgery noise optical optimize optimized outside perturbed physics plotted portion posterior predict predicted predicting predictions predictive presence press prevent previous prior priori probable procedure process processing profile profiles providing real relies roger safety scattering school sciences seem simulate static statistics steepest steps studies subsequent susceptibility system temperature temporal therapies therapy thermal tissue train training transfer treatment treatments undergoing unlike update useful variance variances