Total Variation Processing of Images with Poisson Statistics. - Alex Sawatzky; Christoph Brune; Jahn Müller; Martin Burger 001 (CAIP, 2009)

Bregman-EM-TV Methods with Application to Optical Nanoscopy. - Christoph Brune; Alex Sawatzky; Martin Burger 001 (SSVM, 2009)

Detection of Intensity and Motion Edges within Optical Flow via Multidimensional Control. - Christoph Brune; Helmut Maurer; Marcus Wagner (SIAM J. Imaging Sci., 2009)

A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data. - Mohammad Dawood; Christoph Brune; Xiaoyi Jiang 001; Florian Büther; Martin Burger 001; Otmar Schober; Michael Schäfers 001; Klaus P. Schäfers (MIAR, 2010)

Primal and Dual Bregman Methods with Application to Optical Nanoscopy. - Christoph Brune; Alex Sawatzky; Martin Burger 001 (Int. J. Comput. Vis., 2011)

Optimal Data Collection for Improved Rankings Expose Well-Connected Graphs - Braxton Osting; Christoph Brune; Stanley J. Osher (CoRR, 2012)

Enhanced statistical rankings via targeted data collection. - Braxton Osting; Christoph Brune; Stanley J. Osher (ICML (1), 2013)

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

Optimal data collection for informative rankings expose well-connected graphs. - Braxton Osting; Christoph Brune; Stanley J. Osher (J. Mach. Learn. Res., 2014)

Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition. - Leonie Zeune; Stephan A. van Gils; Leon W. M. M. Terstappen; Christoph Brune (SSVM, 2017)

Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis. - Leonie Zeune; Guus van Dalum; Leon W. M. M. Terstappen; Stephan A. van Gils; Christoph Brune (SIAM J. Imaging Sci., 2017)

Learned SVD: solving inverse problems via hybrid autoencoding. - Yoeri E. Boink; Christoph Brune (CoRR, 2019)

Low Dimensional State Representation Learning with Reward-shaped Priors. - Nicolò Botteghi; Ruben Obbink; Daan Geijs; Mannes Poel; Beril Sirmaçek; Christoph Brune; Abeje Y. Mersha; Stefano Stramigioli (ICPR, 2020)

Deep learning of circulating tumour cells. - Leonie Zeune; Yoeri E. Boink; Guus van Dalum; Afroditi Nanou; Sanne de Wit; Kiki C. Andree; Joost F. Swennenhuis; Stephan A. van Gils; Leon W. M. M. Terstappen; Christoph Brune (Nat. Mach. Intell., 2020)

A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation. - Yoeri E. Boink; Srirang Manohar; Christoph Brune (IEEE Trans. Medical Imaging, 2020)

Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. - Nicolò Botteghi; Khaled Alaa; Mannes Poel; Beril Sirmaçek; Christoph Brune; Abeje Y. Mersha; Stefano Stramigioli (IROS, 2021)

Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. - Nicolò Botteghi; Luuk Grefte; Mannes Poel; Beril Sirmaçek; Christoph Brune; Edwin Dertien; Stefano Stramigioli (RiTA, 2021)

Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. - Julian Suk; Pim de Haan; Phillip Lippe; Christoph Brune; Jelmer M. Wolterink (STACOM@MICCAI, 2021)

Learning normal form autoencoders for data-driven discovery of universal, parameter-dependent governing equations. - Manu Kalia; Steven L. Brunton; Hil G. E. Meijer; Christoph Brune; J. Nathan Kutz (CoRR, 2021)

Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. - Nicolò Botteghi; Mannes Poel; Beril Sirmaçek; Christoph Brune (CoRR, 2021)

Self-supervised Learning Through Colorization for Microscopy Images. - Vaidehi Pandey; Christoph Brune; Nicola Strisciuglio (ICIAP (2), 2022)

Implicit Neural Representations for Deformable Image Registration. - Jelmer M. Wolterink; Jesse C. Zwienenberg; Christoph Brune (MIDL, 2022)

Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. - Dieuwertje Alblas; Christoph Brune; Jelmer M. Wolterink (Image Processing, 2022)

Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. - Dieuwertje Alblas; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (STACOM@MICCAI, 2022)

Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. - Nicolò Botteghi; Mengwu Guo; Christoph Brune (CoRR, 2022)

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. - Nicolò Botteghi; Mannes Poel; Christoph Brune (CoRR, 2022)

Duality for Neural Networks through Reproducing Kernel Banach Spaces. - Len Spek; Tjeerd Jan Heeringa; Christoph Brune (CoRR, 2022)

Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. - Yannik P. Wotte; Sven Dummer; Nicolò Botteghi; Christoph Brune; Stefano Stramigioli; Federico Califano (CoRR, 2022)

Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. - Nathan Blanken; Jelmer M. Wolterink; Hervé Delingette; Christoph Brune; Michel Versluis; Guillaume P. R. Lajoinie (IEEE Trans. Medical Imaging, 2022)

Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation. - Lu Liu; Christoph Brune; Raymond N. J. Veldhuis (CAIP (2), 2023)

Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. - Ioana Mazilu; Shunxin Wang; Sven Dummer; Raymond N. J. Veldhuis; Christoph Brune; Nicola Strisciuglio (CAIP (2), 2023)

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. - Dieuwertje Alblas; Marieke Hofman; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (FIMH, 2023)

SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. - Julian Suk; Christoph Brune; Jelmer M. Wolterink (FIMH, 2023)

What do neural networks learn in image classification? A frequency shortcut perspective. - Shunxin Wang; Raymond N. J. Veldhuis; Christoph Brune; Nicola Strisciuglio (ICCV, 2023)

DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. - Shunxin Wang; Christoph Brune; Raymond N. J. Veldhuis; Nicola Strisciuglio (ICCV (Workshops), 2023)

Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. - Elina Thibeau-Sutre; Dieuwertje Alblas; Sophie Buurman; Christoph Brune; Jelmer M. Wolterink (UNSURE@MICCAI, 2023)

RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations. - Sven Dummer; Nicola Strisciuglio; Christoph Brune (CoRR, 2023)

Embeddings between Barron spaces with higher order activation functions. - Tjeerd Jan Heeringa; Len Spek; Felix L. Schwenninger; Christoph Brune (CoRR, 2023)

Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. - Nicolò Botteghi; Federico Califano; Mannes Poel; Christoph Brune (CoRR, 2023)

Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow. - Tjeerd Jan Heeringa; Tim Roith; Christoph Brune; Martin Burger 001 (CoRR, 2023)

Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. - Simone Borsci; Ville V. Lehtola; Francesco Nex; Michael Ying Yang; Ellen-Wien Augustijn; Leila Bagheriye; Christoph Brune; Ourania Kounadi; Jamy Li; João L. R. Moreira; Joanne Van Der Nagel; Bernard P. Veldkamp; et al. (AI Soc., 2023)

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. - Patryk Rygiel; Dieuwertje Alblas; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators. - Lu Liu; Raymond N. J. Veldhuis; Christoph Brune (MIUA (2), 2024)

Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. - Julian Suk; Pim de Haan; Phillip Lippe; Christoph Brune; Jelmer M. Wolterink (Comput. Biol. Medicine, 2024)

Physics-informed graph neural networks for flow field estimation in carotid arteries. - Julian Suk; Dieuwertje Alblas; Barbara A. Hutten; Albert Wiegman; Christoph Brune; Pim van Ooij; Jelmer M. Wolterink (CoRR, 2024)

RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations. - Sven Dummer; Nicola Strisciuglio; Christoph Brune (SIAM J. Imaging Sci., 2024)

Joint Manifold Learning and Optimal Transport for Dynamic Imaging. - Sven Dummer; Puru Vaish; Christoph Brune (SSVM (1), 2025)

Perturbation-Aware Distributionally Robust Optimization for Inverse Problems. - Floor van Maarschalkerwaart; Subhadip Mukherjee; Malena Sabaté Landman; Christoph Brune; Marcello Carioni (SSVM (2), 2025)

Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. - Julian Suk; Guido Nannini; Patryk Rygiel; Christoph Brune; Gianluca Pontone; Alberto Redaelli; Jelmer M. Wolterink (Comput. Methods Programs Biomed., 2025)

SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. - Dieuwertje Alblas; Julian Suk; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (Medical Image Anal., 2025)

Sparsifying Dimensionality Reduction of PDE Solution Data with Bregman Learning. - Tjeerd Jan Heeringa; Christoph Brune; Mengwu Guo (SIAM J. Sci. Comput., 2025)

Deep Networks are Reproducing Kernel Chains. - Tjeerd Jan Heeringa; Len Spek; Christoph Brune (CoRR, 2025)

PDE-DKL: PDE-constrained deep kernel learning in high dimensionality. - Weihao Yan; Christoph Brune; Mengwu Guo (CoRR, 2025)

Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation. - Patryk Rygiel; Julian Suk; Kak Khee Yeung; Christoph Brune; Jelmer M. Wolterink (CoRR, 2025)

Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation. - Puru Vaish; Felix Meister; Tobias Heimann; Christoph Brune; Jelmer M. Wolterink (CoRR, 2025)

Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. - Dieuwertje Alblas; Patryk Rygiel; Julian Suk; Kaj O. Kappe; Marieke Hofman; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CoRR, 2025)

RONOM: Reduced-Order Neural Operator Modeling. - Sven Dummer; Dongwei Ye; Christoph Brune (CoRR, 2025)

Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models. - Patryk Rygiel; Julian Suk; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CoRR, 2025)

An invertible generative model for forward and inverse problems. - Tristan van Leeuwen; Christoph Brune; Marcello Carioni (CoRR, 2025)

Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation. - Puru Vaish; Felix Meister; Tobias Heimann; Christoph Brune; Jelmer M. Wolterink (CoRR, 2025)

Physics-based deep kernel learning for parameter estimation in high dimensional PDEs. - Weihao Yan; Christoph Brune; Mengwu Guo (CoRR, 2025)