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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management
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Automatic Hyperparameter Tuning in Physics-Based Distortion Correction for Diffusion Tensor Imaging
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Mathematical modeling and simulation of coronary stents
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Improving Multigrid Methods with Deep Neural Networks
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Large Scale Inverse Problems: Low-Rank Approximations and Optimization
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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Nonparametric Regression for Assessing Time-Varying Effects in Survival Analysis
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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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Large-Scale Parameter Estimation in Geophysics and Machine Learning
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