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05/20/2022
Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI
In this paper, a nonlinear approach to separate different motion types i...
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06/15/2020
Total Deep Variation: A Stable Regularizer for Inverse Problems
Various problems in computer vision and medical imaging can be cast as i...
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04/07/2020
Policy iteration for Hamilton-Jacobi-Bellman equations with control constraints
Policy iteration is a widely used technique to solve the Hamilton Jacobi...
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01/14/2020
Total Deep Variation for Linear Inverse Problems
Diverse inverse problems in imaging can be cast as variational problems ...
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08/05/2019
A Tensor Decomposition Approach for High-Dimensional Hamilton-Jacobi-Bellman Equations
A tensor decomposition approach for the solution of high-dimensional, fu...
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07/19/2019
