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VaNDI acts as an unrolled gradient descent algorithm combining deep learning and nonlinear data-fidelity. In the CNN part of the network, 3D convolutions (green) and nonlinear activation (blue) are learned for each gradient descent step GDt. Moreover, a data-fidelity term (orange) is integrated into the network to ensure agreement with the QSM model.
