Martin Benning

According to our database, Martin Benning authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers.

Xiaoyu Wang, Martin Benning, Audrey Repetti

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

Convolution and Attention-Free Mamba-based Cardiac Image Segmentation.

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh

CoRR, 2024

Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors.

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh

CoRR, 2024

RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement.

Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh

CoRR, 2024

Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks.

Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Lifted Bregman Training of Neural Networks.

Xiaoyu Wang, Martin Benning

J. Mach. Learn. Res., 2023

A lifted Bregman formulation for the inversion of deep neural networks.

Xiaoyu Wang, Martin Benning

Frontiers Appl. Math. Stat., 2023

Trust your source: quantifying source condition elements for variational regularisation methods.

Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio

CoRR, 2023

Misclassification Loss for Segmentation of the Aortic Vessel Tree.

Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh

Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023

2022

Convergent Data-driven Regularizations for CT Reconstruction.

Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger

CoRR, 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

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks.

Russell Sammut Bonnici, Martin Benning, Charalampos Saitis

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

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

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

Bregman Itoh-Abe Methods for Sparse Optimisation.

Martin Benning, Erlend Skaldehaug Riis, Carola-Bibiane Schönlieb

J. Math. Imaging Vis., 2020

Generalised Perceptron Learning.

Xiaoyu Wang, Martin Benning

CoRR, 2020

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

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

An entropic projection method for linear ill-posed problems.

Martin Burger, Elena Resmerita, Martin Benning

CoRR, 2019

Deep learning as optimal control problems: models and numerical methods.

Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb

CoRR, 2019

2018

Modern regularization methods for inverse problems.

Martin Benning, Martin Burger

Acta Numer., 2018

2017

Learning Filter Functions in Regularisers by Minimising Quotients.

Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Nonlinear Spectral Image Fusion.

Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2015

Variational Depth From Focus Reconstruction.

Michael Möller, Martin Benning, Carola Schönlieb, Daniel Cremers

IEEE Trans. Image Process., 2015

Preconditioned ADMM with Nonlinear Operator Constraint.

Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen

Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015

Joint Registration and Parameter Estimation of T1 Relaxation Times Using Variable Flip Angles.

Constantin Heck, Martin Benning, Jan Modersitzki

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2013

An adaptive inverse scale space method for compressed sensing.

Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher

Math. Comput., 2013

Higher-Order TV Methods - Enhancement via Bregman Iteration.

Martin Benning, Christoph Brune, Martin Burger, Jahn Müller

J. Sci. Comput., 2013

A Primal-Dual Approach for a Total Variation Wasserstein Flow.

Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb

Proceedings of the Geometric Science of Information - First International Conference, 2013