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Improving Sampling and Function Approximation in Machine Learning Methods for Solving Partial Differential Equations
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Automatic Hyperparameter Tuning in Physics-Based Distortion Correction for Diffusion Tensor Imaging
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Inverse problem application in the field of biomedical image reconstruction
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Variance Reduction Methods for High-Dimensional Optimal Control Problems
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Image Deblurring using Radial Basis functions for Interpolating Weights of Spatially Variant Blur
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Differential Equation Interpretation of Deep Neural Networks
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A Trainable Conjugate Gradient Method for Image Reconstruction
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Matrix Computations and Optimization for Spectral Computed Tomography
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Reduced Models and Parallel Computing for Uncertainty Quantification in Cardiovascular Mathematics
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Efficient Solvers for Nonlinear Problems in Imaging
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