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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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Large Scale Inverse Problems: Low-Rank Approximations and Optimization
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Matrix Computations and Optimization for Spectral Computed Tomography
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Assimilation of velocity data into fluid dynamic simulations,
an application to computational hemodynamics
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Generalized Cross Validation for Ill-Posed Inverse Problems
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Large-Scale Inverse Problems in Imaging: Two Case Studies
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Line-to-Point Registration with Applications in Geometric Reconstruction of Coronary Stents
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