Birs- 23w5042: Leveraging Model- and Data-Driven Methods in Medical Imaging
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Title: Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
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Title: Continuous generative neural networks for inverse problems
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Title: A Cubic Correction in EIT Imaging
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Title: Unitarization of the Radon transform
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Title: Compressed sensing for the sparse Radon transform
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Title: Modelling data incompleteness in tomography
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Title: Using the 2DeteCT data collection as training data for data-driven methods in medical imaging
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Title: Bregman Iterations for sparse neural networks and architecture search
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Title: Learned variational regularization for linear inverse problems
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Title: Towards real-time solutions for inverse and imaging problems with uncertainty quantification
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Title: Spectral decomposition of atomic structures in heterogeneous cryo-EM
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Title: Reinterpreting survival analysis in the universal approximator age
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Title: The Power of Patches for Training Normalizing Flows
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Title: Generalizing PINNs to Complex Geometries
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Title: Shape Classification through the Lens of Geodesic Flows of Diffeomorphisms
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Title: Dynamic MRI Reconstruction with Locally Low-Rank Regularizers
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Title: Combing deep learning with the Electrical Impedance Tomography to classify stroke
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Title: Smooth over-parametrized solvers for non-smooth structured optimisation
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Title: Data driven regularization by projection
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