A Primal-Dual Approach for a Total Variation Wasserstein Flow. - Martin Benning; Luca Calatroni; Bertram Düring; Carola-Bibiane Schönlieb (GSI, 2013)

Higher-Order TV Methods - Enhancement via Bregman Iteration. - Martin Benning; Christoph Brune; Martin Burger 001; Jahn Müller (J. Sci. Comput., 2013)

An adaptive inverse scale space method for compressed sensing. - Martin Burger 001; Michael Möller 001; Martin Benning; Stanley J. Osher (Math. Comput., 2013)

Joint Registration and Parameter Estimation of T1 Relaxation Times Using Variable Flip Angles. - Constantin Heck; Martin Benning; Jan Modersitzki (Bildverarbeitung für die Medizin, 2015)

Preconditioned ADMM with Nonlinear Operator Constraint. - Martin Benning; Florian Knoll; Carola-Bibiane Schönlieb; Tuomo Valkonen (System Modelling and Optimization, 2015)

Variational Depth From Focus Reconstruction. - Michael Möller 001; Martin Benning; Carola Schönlieb; Daniel Cremers (IEEE Trans. Image Process., 2015)

Nonlinear Spectral Image Fusion. - Martin Benning; Michael Möller 001; Raz Z. Nossek; Martin Burger 001; Daniel Cremers; Guy Gilboa; Carola-Bibiane Schönlieb (SSVM, 2017)

Learning Filter Functions in Regularisers by Minimising Quotients. - Martin Benning; Guy Gilboa; Joana Sarah Grah; Carola-Bibiane Schönlieb (SSVM, 2017)

Modern regularization methods for inverse problems. - Martin Benning; Martin Burger 001 (Acta Numer., 2018)

Deep learning as optimal control problems: models and numerical methods. - Martin Benning; Elena Celledoni; Matthias J. Ehrhardt; Brynjulf Owren; Carola-Bibiane Schönlieb (CoRR, 2019)

An entropic projection method for linear ill-posed problems. - Martin Burger 001; Elena Resmerita; Martin Benning (CoRR, 2019)

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. - Veronica Corona; Martin Benning; Lynn F. Gladden; Andi Reci; Andrew J. Sederman; Carola-Bibiane Schoenlieb (CoRR, 2019)

Scanning electron diffraction tomography of strain. - Robert Tovey; Duncan N. Johnstone; Sean M. Collins; William R. B. Lionheart; Paul A. Midgley; Martin Benning; Carola-Bibiane Schönlieb (CoRR, 2020)

Generalised Perceptron Learning. - Xiaoyu Wang; Martin Benning (CoRR, 2020)

Bregman Itoh-Abe Methods for Sparse Optimisation. - Martin Benning; Erlend Skaldehaug Riis; Carola-Bibiane Schönlieb (J. Math. Imaging Vis., 2020)

Learning the Sampling Pattern for MRI. - Ferdia Sherry; Martin Benning; Juan Carlos de los Reyes; Martin J. Graves; Georg Maierhofer; Guy B. Williams; Carola-Bibiane Schönlieb; Matthias Joachim Ehrhardt (IEEE Trans. Medical Imaging, 2020)

Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. - Martin Benning; Marta M. Betcke; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb (SIAM J. Imaging Sci., 2021)

Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. - Russell Sammut Bonnici; Martin Benning; Charalampos Saitis (IJCNN, 2022)

Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. - Abbas Khan; Omnia Alwazzan; Martin Benning; Greg G. Slabaugh (LAScarQS@MICCAI, 2022)

Convergent Data-driven Regularizations for CT Reconstruction. - Samira Kabri; Alexander Auras; Danilo Riccio; Hartmut Bauermeister; Martin Benning; Michael Moeller 001; Martin Burger 001 (CoRR, 2022)

Misclassification Loss for Segmentation of the Aortic Vessel Tree. - Abbas Khan; Muhammad Asad 001; Alexander M. Zolotarev; Caroline H. Roney; Anthony Mathur; Martin Benning; Gregory G. Slabaugh (SEG.A@MICCAI, 2023)

Trust your source: quantifying source condition elements for variational regularisation methods. - Martin Benning; Tatiana A. Bubba; Luca Ratti; Danilo Riccio (CoRR, 2023)

A lifted Bregman formulation for the inversion of deep neural networks. - Xiaoyu Wang; Martin Benning (Frontiers Appl. Math. Stat., 2023)

Lifted Bregman Training of Neural Networks. - Xiaoyu Wang; Martin Benning (J. Mach. Learn. Res., 2023)

RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. - Tatiana Gaintseva; Martin Benning; Gregory G. Slabaugh (ECCV (79), 2024)

Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks. - Abbas Khan; Muhammad Asad 001; Martin Benning; Caroline H. Roney; Gregory G. Slabaugh (ISBI, 2024)

A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers. - Xiaoyu Wang; Martin Benning; Audrey Repetti (MLSP, 2024)

Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors. - Abbas Khan; Muhammad Asad 001; Martin Benning; Caroline H. Roney; Gregory G. Slabaugh (CoRR, 2024)

Convolution and Attention-Free Mamba-based Cardiac Image Segmentation. - Abbas Khan; Muhammad Asad 001; Martin Benning; Caroline H. Roney; Gregory G. Slabaugh (CoRR, 2024)

Improving Interpretability and Robustness for the Detection of AI-Generated Images. - Tatiana Gaintseva; Laida Kushnareva; German Magai; Irina Piontkovskaya; Sergey I. Nikolenko; Martin Benning; Serguei Barannikov; Gregory G. Slabaugh (CoRR, 2024)

CAMS: Convolution and Attention-Free Mamba-Based Cardiac Image Segmentation. - Abbas Khan; Muhammad Asad 001; Martin Benning; Caroline H. Roney; Gregory G. Slabaugh (WACV, 2025)

Compositional Segmentation of Cardiac Images Leveraging Metadata. - Abbas Khan; Muhammad Asad 001; Martin Benning; Caroline H. Roney; Gregory G. Slabaugh (WACV, 2025)

Multi-Frame Blind Manifold Deconvolution for Rotating Synthetic Aperture Imaging. - Dao Lin; Jian Zhang; Martin Benning (CoRR, 2025)

CASteer: Steering Diffusion Models for Controllable Generation. - Tatiana Gaintseva; Chengcheng Ma; Ziquan Liu; Martin Benning; Gregory G. Slabaugh; Jiankang Deng; Ismail Elezi (CoRR, 2025)