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Found 3 papers, 1 papers with code
Motion correction in MRI using deep learning and a novel hybrid loss function
Evaluation used simulated T1 and T2-weighted axial, coronal, and sagittal images unseen during training, as well as T1-weighted images with motion artifacts from real scans.
Ergo: A Graphical Environment for Constructing Bayesian
We describe an environment that considerably simplifies the process of generating Bayesian belief networks.
Kutato: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases
Kutato is a system that takes as input a database of cases and produces a belief network that captures many of the dependence relations represented by those data.
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