Martin Benning

Orcid: 0000-0002-6203-1350

According to our database1, Martin Benning authored at least 26 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement.
CoRR, 2024

Crop and Couple: cardiac image segmentation using interlinked specialist networks.
CoRR, 2024

2023
Lifted Bregman Training of Neural Networks.
J. Mach. Learn. Res., 2023

A lifted Bregman formulation for the inversion of deep neural networks.
Frontiers Appl. Math. Stat., 2023

Trust your source: quantifying source condition elements for variational regularisation methods.
CoRR, 2023

Misclassification Loss for Segmentation of the Aortic Vessel Tree.
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.
CoRR, 2022

Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing.
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework.
SIAM J. Imaging Sci., 2021

2020
Learning the Sampling Pattern for MRI.
IEEE Trans. Medical Imaging, 2020

Bregman Itoh-Abe Methods for Sparse Optimisation.
J. Math. Imaging Vis., 2020

Generalised Perceptron Learning.
CoRR, 2020

Scanning electron diffraction tomography of strain.
CoRR, 2020

2019
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
CoRR, 2019

An entropic projection method for linear ill-posed problems.
CoRR, 2019

Deep learning as optimal control problems: models and numerical methods.
CoRR, 2019

2018
Modern regularization methods for inverse problems.
Acta Numer., 2018

2017
Learning Filter Functions in Regularisers by Minimising Quotients.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Nonlinear Spectral Image Fusion.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2015
Variational Depth From Focus Reconstruction.
IEEE Trans. Image Process., 2015

Preconditioned ADMM with Nonlinear Operator Constraint.
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.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2013
An adaptive inverse scale space method for compressed sensing.
Math. Comput., 2013

Higher-Order TV Methods - Enhancement via Bregman Iteration.
J. Sci. Comput., 2013

A Primal-Dual Approach for a Total Variation Wasserstein Flow.
Proceedings of the Geometric Science of Information - First International Conference, 2013


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