Martin Benning

46 papers A 2B 1Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Unified Framework for Lifted Training and Inversion Approaches. CoRR Xiaoyu Wang, Alexandra Valavanis, Azhir Mahmood, Andreas Mang, Martin Benning, Audrey Repetti
2025	A	`conf`	CAMS: Convolution and Attention-Free Mamba-Based Cardiac Image Segmentation. WACV Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
2025	J	`jnl`	CASteer: Steering Diffusion Models for Controllable Generation. CoRR Tatiana Gaintseva, Chengcheng Ma, Ziquan Liu, Martin Benning, Gregory G. Slabaugh, Jiankang Deng, Ismail Elezi
2025	A	`conf`	Compositional Segmentation of Cardiac Images Leveraging Metadata. WACV Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
2025	J	`jnl`	Multi-Frame Blind Manifold Deconvolution for Rotating Synthetic Aperture Imaging. CoRR Dao Lin, Jian Zhang, Martin Benning
2025	J	`jnl`	Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge. CoRR Yuan Jin, Antonio Pepe, Gian Marco Melito, Yuxuan Chen, Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang, Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu, Ayman El-Ghotni, Mohamed Nabil, Hossam El-Kady, Ahmed Ayyad, Amr Nasr, Marek Wodzinski, Henning Müller, Hyeongyu Kim, Yejee Shin, Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh, Theodoros P. Vagenas, Konstantinos Georgas, George K. Matsopoulos, Jihan Zhang, Zhen Zhang, Liqin Huang, Christian Mayer, Heinrich Mächler, Jan Egger
2024	—	`conf`	A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers. MLSP Xiaoyu Wang, Martin Benning, Audrey Repetti
2024	J	`jnl`	A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers. CoRR Xiaoyu Wang, Martin Benning, Audrey Repetti
2024	J	`jnl`	Compositional Segmentation of Cardiac Images Leveraging Metadata. CoRR Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
2024	J	`jnl`	Convolution and Attention-Free Mamba-based Cardiac Image Segmentation. CoRR Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
2024	—	`conf`	Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks. ISBI Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
2024	J	`jnl`	Crop and Couple: cardiac image segmentation using interlinked specialist networks. CoRR Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
2024	J	`jnl`	Improving Interpretability and Robustness for the Detection of AI-Generated Images. CoRR Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey I. Nikolenko, Martin Benning, Serguei Barannikov, Gregory G. Slabaugh
2024	J	`jnl`	Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors. CoRR Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh
2024	—	`conf`	RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. ECCV (79) Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh
2024	J	`jnl`	RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. CoRR Tatiana Gaintseva, Martin Benning, Gregory G. Slabaugh
2023	J	`jnl`	A Lifted Bregman Formulation for the Inversion of Deep Neural Networks. CoRR Xiaoyu Wang, Martin Benning
2023	J	`jnl`	A lifted Bregman formulation for the inversion of deep neural networks. Frontiers Appl. Math. Stat. Xiaoyu Wang, Martin Benning
2023	J	`jnl`	Lifted Bregman Training of Neural Networks. J. Mach. Learn. Res. Xiaoyu Wang, Martin Benning
2023	—	`conf`	Misclassification Loss for Segmentation of the Aortic Vessel Tree. SEG.A@MICCAI Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh
2023	J	`jnl`	Trust your source: quantifying source condition elements for variational regularisation methods. CoRR Martin Benning, Tatiana A. Bubba, Luca Ratti, Danilo Riccio
2022	J	`jnl`	Convergent Data-driven Regularizations for CT Reconstruction. CoRR Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger
2022	J	`jnl`	Lifted Bregman Training of Neural Networks. CoRR Xiaoyu Wang, Martin Benning
2022	—	`conf`	Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. LAScarQS@MICCAI Abbas Khan, Omnia Alwazzan, Martin Benning, Greg G. Slabaugh
2022	B	`conf`	Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. IJCNN Russell Sammut Bonnici, Martin Benning, Charalampos Saitis
2021	J	`jnl`	Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
2021	J	`jnl`	Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. CoRR Russell Sammut Bonnici, Charalampos Saitis, Martin Benning
2020	J	`jnl`	Bregman Itoh-Abe Methods for Sparse Optimisation. J. Math. Imaging Vis. Martin Benning, Erlend Skaldehaug Riis, Carola-Bibiane Schönlieb
2020	J	`jnl`	Generalised Perceptron Learning. CoRR Xiaoyu Wang, Martin Benning
2020	J	`jnl`	Learning the Sampling Pattern for MRI. IEEE Trans. Medical Imaging Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt
2020	J	`jnl`	Scanning electron diffraction tomography of strain. CoRR Robert Tovey, Duncan N. Johnstone, Sean M. Collins, William R. B. Lionheart, Paul A. Midgley, Martin Benning, Carola-Bibiane Schönlieb
2019	J	`jnl`	An entropic projection method for linear ill-posed problems. CoRR Martin Burger, Elena Resmerita, Martin Benning
2019	J	`jnl`	Deep learning as optimal control problems: models and numerical methods. CoRR Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb
2019	J	`jnl`	Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. CoRR Veronica Corona, Martin Benning, Lynn F. Gladden, Andi Reci, Andrew J. Sederman, Carola-Bibiane Schoenlieb
2019	J	`jnl`	Learning the Sampling Pattern for MRI. CoRR Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt
2018	J	`jnl`	Modern regularization methods for inverse problems. Acta Numer. Martin Benning, Martin Burger
2017	—	`conf`	Learning Filter Functions in Regularisers by Minimising Quotients. SSVM Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb
2017	—	`conf`	Nonlinear Spectral Image Fusion. SSVM Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	J	`jnl`	Nonlinear Spectral Image Fusion. CoRR Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2015	—	`conf`	Joint Registration and Parameter Estimation of T1 Relaxation Times Using Variable Flip Angles. Bildverarbeitung für die Medizin Constantin Heck, Martin Benning, Jan Modersitzki
2015	—	`conf`	Preconditioned ADMM with Nonlinear Operator Constraint. System Modelling and Optimization Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen
2015	J	`jnl`	Variational Depth From Focus Reconstruction. IEEE Trans. Image Process. Michael Möller, Martin Benning, Carola Schönlieb, Daniel Cremers
2014	J	`jnl`	Variational Depth from Focus Reconstruction. CoRR Michael Möller, Martin Benning, Carola-Bibiane Schönlieb, Daniel Cremers
2013	—	`conf`	A Primal-Dual Approach for a Total Variation Wasserstein Flow. GSI Martin Benning, Luca Calatroni, Bertram Düring, Carola-Bibiane Schönlieb
2013	J	`jnl`	An adaptive inverse scale space method for compressed sensing. Math. Comput. Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher
2013	J	`jnl`	Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. Martin Benning, Christoph Brune, Martin Burger, Jahn Müller