| Publication | Date of Publication | Type |
|---|
| \Gamma-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation | 2024-04-18 | Paper |
| A total variation based regularizer promoting piecewise-Lipschitz reconstructions | 2024-02-23 | Paper |
| Total directional variation for video denoising | 2024-02-23 | Paper |
| Dynamical Systems–Based Neural Networks | 2023-12-20 | Paper |
| Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds | 2023-10-25 | Paper |
| Data-Driven Mirror Descent with Input-Convex Neural Networks | 2023-08-14 | Paper |
| Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration | 2023-08-09 | Paper |
| Joint Reconstruction-Segmentation on Graphs | 2023-08-08 | Paper |
| Convergent regularization in inverse problems and linear plug-and-play denoisers | 2023-07-18 | Paper |
| NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems | 2023-04-17 | Paper |
| A sparse optimization approach to infinite infimal convolution regularization | 2023-04-17 | Paper |
| Provably Convergent Plug-and-Play Quasi-Newton Methods | 2023-03-09 | Paper |
| Can Physics-Informed Neural Networks beat the Finite Element Method? | 2023-02-08 | Paper |
| Spectral decomposition of atomic structures in heterogeneous cryo-EM | 2023-02-01 | Paper |
| Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes | 2023-01-06 | Paper |
| Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise | 2022-12-12 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5054608 | 2022-11-29 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5054622 | 2022-11-29 | Paper |
| On Krylov Methods for Large Scale CBCT Reconstruction | 2022-11-25 | Paper |
| Robust Data-Driven Accelerated Mirror Descent | 2022-10-21 | Paper |
| A geometric integration approach to nonsmooth, nonconvex optimisation | 2022-10-21 | Paper |
| Variational Osmosis for Non-Linear Image Fusion | 2022-09-16 | Paper |
| Task adapted reconstruction for inverse problems | 2022-06-17 | Paper |
| Learning Filter Functions in Regularisers by Minimising Quotients | 2022-06-03 | Paper |
| Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier | 2022-05-11 | Paper |
| Accelerating variance-reduced stochastic gradient methods | 2022-03-22 | Paper |
| Gaussian random fields on non-separable Banach spaces | 2022-03-09 | Paper |
| A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization | 2022-01-31 | Paper |
| Adversarially learned iterative reconstruction for imaging inverse problems | 2021-12-20 | Paper |
| Structure-preserving deep learning | 2021-12-08 | Paper |
| A Continuous-time Stochastic Gradient Descent Method for Continuous Data | 2021-12-07 | Paper |
| On Learned Operator Correction in Inverse Problems | 2021-11-19 | Paper |
| Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework | 2021-11-19 | Paper |
| Joint Phase Reconstruction and Magnitude Segmentation from Velocity-Encoded MRI Data | 2021-09-27 | Paper |
| Joint Motion Estimation and Source Identification Using Convective Regularisation with an Application to the Analysis of Laser Nanoablations | 2021-09-27 | Paper |
| Equivariant neural networks for inverse problems | 2021-08-13 | Paper |
| Learning optical flow for fast MRI reconstruction | 2021-08-13 | Paper |
| Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise | 2021-08-08 | Paper |
| Tomographic reconstruction with spatially varying parameter selection | 2021-07-14 | Paper |
| Template-based image reconstruction from sparse tomographic data | 2021-04-22 | Paper |
| Scanning electron diffraction tomography of strain | 2021-02-04 | Paper |
| Higher-Order Total Directional Variation: Imaging Applications | 2021-01-11 | Paper |
| Analysis of artifacts in shell-based image inpainting: why they occur and how to eliminate them | 2021-01-06 | Paper |
| Variational regularisation for inverse problems with imperfect forward operators and general noise models | 2020-12-08 | Paper |
| Bregman Itoh-Abe methods for sparse optimisation | 2020-10-06 | Paper |
| Structure preserving deep learning | 2020-06-05 | Paper |
| Partial differential equations and variational methods for geometric processing of images | 2020-05-11 | Paper |
| A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis | 2020-05-04 | Paper |
| Higher-Order Total Directional Variation: Analysis | 2020-05-04 | Paper |
| Learning Optical Flow for Fast MRI Reconstruction | 2020-04-22 | Paper |
| SPRING: A fast stochastic proximal alternating method for non-smooth non-convex optimization | 2020-02-27 | Paper |
| Deep learning as optimal control problems: models and numerical methods | 2020-02-20 | Paper |
| Stability Analysis of Line Patterns of an Anisotropic Interaction Model | 2020-01-03 | Paper |
| Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics | 2019-12-19 | Paper |
| Linkage Between Piecewise Constant Mumford--Shah Model and Rudin--Osher--Fatemi Model and Its Virtue in Image Segmentation | 2019-12-09 | Paper |
| Total Variation Regularisation with Spatially Variable Lipschitz Constraints | 2019-12-05 | Paper |
| Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal | 2019-10-28 | Paper |
| Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme | 2019-10-09 | Paper |
| Variational Osmosis for Non-linear Image Fusion | 2019-10-04 | Paper |
| PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds | 2019-09-23 | Paper |
| Solving inverse problems using data-driven models | 2019-08-28 | Paper |
| A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis | 2019-07-03 | Paper |
| Anisotropic osmosis filtering for shadow removal in images | 2019-06-21 | Paper |
| Enhancing joint reconstruction and segmentation with non-convex Bregman iteration | 2019-06-21 | Paper |
| An anisotropic interaction model for simulating fingerprints | 2019-06-06 | Paper |
| On Biased Stochastic Gradient Estimation | 2019-06-03 | Paper |
| Learning optimal orders of the underlying Euclidean norm in total variation image denoising | 2019-03-28 | Paper |
| Directional sinogram inpainting for limited angle tomography | 2019-02-22 | Paper |
| Variational Depth From Focus Reconstruction | 2019-01-31 | Paper |
| Bilevel approaches for learning of variational imaging models | 2018-11-23 | Paper |
| Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film | 2018-10-17 | Paper |
| Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications | 2018-10-11 | Paper |
| A Variational Model for Joint Motion Estimation and Image Reconstruction | 2018-10-10 | Paper |
| Faster FISTA | 2018-07-11 | Paper |
| A geometric integration approach to smooth optimisation: Foundations of the discrete gradient method | 2018-05-16 | Paper |
| Blind image fusion for hyperspectral imaging with the directional total variation | 2018-05-03 | Paper |
| Inverse scale space decomposition | 2018-05-03 | Paper |
| Pattern formation of a nonlocal, anisotropic interaction model | 2018-02-15 | Paper |
| Bilevel parameter learning for higher-order total variation regularisation models | 2018-02-08 | Paper |
| Local Convergence Properties of SAGA/Prox-SVRG and Acceleration | 2018-02-07 | Paper |
| Infimal Convolution of Data Discrepancies for Mixed Noise Removal | 2018-01-26 | Paper |
| Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images | 2017-08-25 | Paper |
| Discrete gradient methods for solving variational image regularisation models | 2017-08-15 | Paper |
| Learning optimal spatially-dependent regularization parameters in total variation image denoising | 2017-08-11 | Paper |
| Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension | 2017-07-30 | Paper |
| Gradient descent in a generalised Bregman distance framework | 2016-12-07 | Paper |
| Infimal convolution regularisation functionals of BV and \(\mathrm{L}^p\) spaces. I: The finite \(p\) case | 2016-06-16 | Paper |
| The use of discrete gradient methods for total variation type regularization problems in image processing | 2016-03-24 | Paper |
| Explorations on anisotropic regularisation of dynamic inverse problems by bilevel optimisation | 2016-02-03 | Paper |
| A generalized model for optimal transport of images including dissipation and density modulation | 2016-01-07 | Paper |
| Partial Differential Equation Methods for Image Inpainting | 2015-12-21 | Paper |
| Analysis and Application of a Nonlocal Hessian | 2015-11-25 | Paper |
| The structure of optimal parameters for image restoration problems | 2015-11-10 | Paper |
| Preconditioned ADMM with nonlinear operator constraint | 2015-11-02 | Paper |
| Infimal Convolution Regularisation Functionals of BV and $\mathrm{L}^{p}$ Spaces. The Case p$=\infty$ | 2015-10-30 | Paper |
| Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints | 2015-10-06 | Paper |
| Imaging with Kantorovich--Rubinstein Discrepancy | 2015-02-17 | Paper |
| Total variation regularization in measurement and image space for PET reconstruction | 2014-12-17 | Paper |
| Random simulations for generative art construction – some examples | 2014-09-01 | Paper |
| A combined first and second order variational approach for image reconstruction | 2014-07-11 | Paper |
| A Primal-Dual Approach for a Total Variation Wasserstein Flow | 2014-04-16 | Paper |
| Image denoising: learning the noise model via nonsmooth PDE-constrained optimization | 2014-03-10 | Paper |
| ADI splitting schemes for a fourth-order nonlinear partial differential equation from image processing | 2013-11-11 | Paper |
| A high-contrast fourth-order PDE from imaging: numerical solution by ADI splitting | 2013-07-12 | Paper |
| Bregmanized domain decomposition for image restoration | 2013-04-08 | Paper |
| Regularized Regression and Density Estimation based on Optimal Transport | 2012-10-10 | Paper |
| Unconditionally stable schemes for higher order inpainting | 2011-06-28 | Paper |
| Subspace Correction Methods for Total Variation and $\ell_1$-Minimization | 2010-11-11 | Paper |
| A convergent overlapping domain decomposition method for total variation minimization | 2010-10-27 | Paper |
| Nonlocal higher order evolution equations | 2010-06-18 | Paper |
| The best constant and extremals of the Sobolev embeddings in domains with holes: the \(L^{\infty }\) case | 2010-01-20 | Paper |
| Cahn–Hilliard Inpainting and a Generalization for Grayvalue Images | 2009-12-02 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3396866 | 2009-09-22 | Paper |
| Domain decomposition methods for compressed sensing | 2009-02-01 | Paper |
| AN OPTIMIZATION PROBLEM RELATED TO THE BEST SOBOLEV TRACE CONSTANT IN THIN DOMAINS | 2008-12-01 | Paper |
| The Willmore functional and instabilities in the Cahn-Hilliard equation | 2008-08-14 | Paper |
