We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
A new algorithm for 3D reconstruction of twodimensional crystals from projections is presented, and applied to biological macromolecules imaged using electron microscopy. Its main...
Quantification of receptor binding studies obtained with PET is complicated by tissue heterogeneity in the sampling image elements pixels and voxels. This effect is caused by a li...
Magnetic Resonance Imaging with non-Cartesian acquisition schemes suffer from blurring artifacts induced by offresonance. Conventional algorithms for off-resonance correction are ...
A steepest descent based bit allocation method with polynomial iteration complexity for minimizing the sum of frame distortions under a total bit rate constraint is presented for ...