Christoph Brune

89 papers A* 1A 1B 2C 1Journal 65Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Dual Certificate Approach to Sparsity in Infinite-Width Shallow Neural Networks. CoRR Leonardo Del Grande, Christoph Brune, Marcello Carioni
2026	J	`jnl`	Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems. CoRR Nicolò Botteghi, Silke Glas, Christoph Brune
2026	J	`jnl`	Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. Artif. Intell. Medicine Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2026	J	`jnl`	Manifold limit for the training of shallow graph convolutional neural networks. CoRR Johanna Tengler, Christoph Brune, José A. Iglesias
2026	J	`jnl`	Physics-informed graph neural networks for flow field estimation in carotid arteries. Medical Image Anal. Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink
2026	J	`jnl`	SegReg: Latent Space Regularization for Improved Medical Image Segmentation. CoRR Puru Vaish, Amin Ranem, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink
2025	J	`jnl`	Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation. CoRR Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink
2025	J	`jnl`	An invertible generative model for forward and inverse problems. CoRR Tristan van Leeuwen, Christoph Brune, Marcello Carioni
2025	J	`jnl`	Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation. CoRR Puru Vaish, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink
2025	J	`jnl`	Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation. CoRR Puru Vaish, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink
2025	J	`jnl`	Deep Networks are Reproducing Kernel Chains. CoRR Tjeerd Jan Heeringa, Len Spek, Christoph Brune
2025	J	`jnl`	Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. Comput. Methods Programs Biomed. Julian Suk, Guido Nannini, Patryk Rygiel, Christoph Brune, Gianluca Pontone, Alberto Redaelli, Jelmer M. Wolterink
2025	J	`jnl`	Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. CoRR Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2025	—	`conf`	Joint Manifold Learning and Optimal Transport for Dynamic Imaging. SSVM (1) Sven Dummer, Puru Vaish, Christoph Brune
2025	J	`jnl`	Joint Manifold Learning and Optimal Transport for Dynamic Imaging. CoRR Sven Dummer, Puru Vaish, Christoph Brune
2025	J	`jnl`	PDE-DKL: PDE-constrained deep kernel learning in high dimensionality. CoRR Weihao Yan, Christoph Brune, Mengwu Guo
2025	J	`jnl`	PDE-constrained Gaussian process surrogate modeling with uncertain data locations. Adv. Model. Simul. Eng. Sci. Dongwei Ye, Weihao Yan, Christoph Brune, Mengwu Guo
2025	—	`conf`	Perturbation-Aware Distributionally Robust Optimization for Inverse Problems. SSVM (2) Floor van Maarschalkerwaart, Subhadip Mukherjee, Malena Sabaté Landman, Christoph Brune, Marcello Carioni
2025	J	`jnl`	Physics-based deep kernel learning for parameter estimation in high dimensional PDEs. CoRR Weihao Yan, Christoph Brune, Mengwu Guo
2025	J	`jnl`	RONOM: Reduced-Order Neural Operator Modeling. CoRR Sven Dummer, Dongwei Ye, Christoph Brune
2025	J	`jnl`	SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. Medical Image Anal. Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2025	J	`jnl`	Sparsifying Dimensionality Reduction of PDE Solution Data with Bregman Learning. SIAM J. Sci. Comput. Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo
2025	J	`jnl`	Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models. CoRR Patryk Rygiel, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	J	`jnl`	Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. CoRR Julian Suk, Guido Nannini, Patryk Rygiel, Christoph Brune, Gianluca Pontone, Alberto Redaelli, Jelmer M. Wolterink
2024	—	`conf`	Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CMRxRecon/MBAS/STACOM@MICCAI Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	J	`jnl`	Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2024	J	`jnl`	Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Comput. Biol. Medicine Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2024	J	`jnl`	Physics-informed graph neural networks for flow field estimation in carotid arteries. CoRR Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink
2024	J	`jnl`	RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations. SIAM J. Imaging Sci. Sven Dummer, Nicola Strisciuglio, Christoph Brune
2024	—	`conf`	Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators. MIUA (2) Lu Liu, Raymond N. J. Veldhuis, Christoph Brune
2024	J	`jnl`	Sparsifying dimensionality reduction of PDE solution data with Bregman learning. CoRR Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo
2023	—	`conf`	DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. ICCV (Workshops) Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
2023	J	`jnl`	DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. CoRR Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
2023	—	`conf`	Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CAIP (2) Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2023	J	`jnl`	Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CoRR Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2023	J	`jnl`	Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 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, Joanneke VanDerNage, Bernard P. Veldkamp, Duc Viet Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla
2023	J	`jnl`	Embeddings between Barron spaces with higher order activation functions. CoRR Tjeerd Jan Heeringa, Len Spek, Felix L. Schwenninger, Christoph Brune
2023	—	`conf`	Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation. CAIP (2) Lu Liu, Christoph Brune, Raymond N. J. Veldhuis
2023	—	`conf`	Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. FIMH Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	J	`jnl`	Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. CoRR Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	J	`jnl`	Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow. CoRR Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger
2023	J	`jnl`	RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations. CoRR Sven Dummer, Nicola Strisciuglio, Christoph Brune
2023	—	`conf`	SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. FIMH Julian Suk, Christoph Brune, Jelmer M. Wolterink
2023	J	`jnl`	SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets. CoRR Julian Suk, Christoph Brune, Jelmer M. Wolterink
2023	J	`jnl`	SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. CoRR Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2023	J	`jnl`	Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. CoRR Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune
2023	—	`conf`	Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. UNSURE@MICCAI Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
2023	J	`jnl`	Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI. CoRR Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
2023	A*	`conf`	What do neural networks learn in image classification? A frequency shortcut perspective. ICCV Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2023	J	`jnl`	What do neural networks learn in image classification? A frequency shortcut perspective. CoRR Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
2022	J	`jnl`	Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR Nicolò Botteghi, Mengwu Guo, Christoph Brune
2022	B	`conf`	Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. Image Processing Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
2022	J	`jnl`	Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. CoRR Yannik P. Wotte, Sven Dummer, Nicolò Botteghi, Christoph Brune, Stefano Stramigioli, Federico Califano
2022	J	`jnl`	Duality for Neural Networks through Reproducing Kernel Banach Spaces. CoRR Len Spek, Tjeerd Jan Heeringa, Christoph Brune
2022	—	`conf`	Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. STACOM@MICCAI Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2022	J	`jnl`	Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. CoRR Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
2022	—	`conf`	Implicit Neural Representations for Deformable Image Registration. MIDL Jelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune
2022	J	`jnl`	Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. CoRR Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2022	—	`conf`	Self-supervised Learning Through Colorization for Microscopy Images. ICIAP (2) Vaidehi Pandey, Christoph Brune, Nicola Strisciuglio
2022	J	`jnl`	Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. CoRR Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume P. R. Lajoinie
2022	J	`jnl`	Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Trans. Medical Imaging Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume P. R. Lajoinie
2022	J	`jnl`	Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. CoRR Nicolò Botteghi, Mannes Poel, Christoph Brune
2021	J	`jnl`	Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. CoRR Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
2021	J	`jnl`	Learning normal form autoencoders for data-driven discovery of universal, parameter-dependent governing equations. CoRR Manu Kalia, Steven L. Brunton, Hil G. E. Meijer, Christoph Brune, J. Nathan Kutz
2021	A	`conf`	Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. IROS Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2021	J	`jnl`	Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. CoRR Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2021	J	`jnl`	Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. CoRR Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune
2021	—	`conf`	Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. STACOM@MICCAI Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2021	J	`jnl`	Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. CoRR Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
2021	—	`conf`	Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. RiTA Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
2021	J	`jnl`	Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. CoRR Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
2020	J	`jnl`	A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation. IEEE Trans. Medical Imaging Yoeri E. Boink, Srirang Manohar, Christoph Brune
2020	J	`jnl`	Deep learning of circulating tumour cells. Nat. Mach. Intell. 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
2020	B	`conf`	Low Dimensional State Representation Learning with Reward-shaped Priors. ICPR Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2020	J	`jnl`	Low Dimensional State Representation Learning with Reward-shaped Priors. CoRR Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
2019	J	`jnl`	Learned SVD: solving inverse problems via hybrid autoencoding. CoRR Yoeri E. Boink, Christoph Brune
2017	—	`conf`	Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition. SSVM Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune
2017	J	`jnl`	Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition. CoRR Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune
2017	J	`jnl`	Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis. SIAM J. Imaging Sci. Leonie Zeune, Guus van Dalum, Leon W. M. M. Terstappen, Stephan A. van Gils, Christoph Brune
2016	J	`jnl`	Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis. CoRR Leonie Zeune, Guus van Dalum, Leon W. M. M. Terstappen, Stephan A. van Gils, Christoph Brune
2014	J	`jnl`	Optimal data collection for informative rankings expose well-connected graphs. J. Mach. Learn. Res. Braxton Osting, Christoph Brune, Stanley J. Osher
2013	—	`conf`	Enhanced statistical rankings via targeted data collection. ICML (1) Braxton Osting, Christoph Brune, 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
2012	J	`jnl`	Optimal Data Collection for Improved Rankings Expose Well-Connected Graphs CoRR Braxton Osting, Christoph Brune, Stanley J. Osher
2011	J	`jnl`	Primal and Dual Bregman Methods with Application to Optical Nanoscopy. Int. J. Comput. Vis. Christoph Brune, Alex Sawatzky, Martin Burger
2010	—	`conf`	A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data. MIAR Mohammad Dawood, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober, Michael Schäfers, Klaus P. Schäfers
2009	—	`conf`	Bregman-EM-TV Methods with Application to Optical Nanoscopy. SSVM Christoph Brune, Alex Sawatzky, Martin Burger
2009	J	`jnl`	Detection of Intensity and Motion Edges within Optical Flow via Multidimensional Control. SIAM J. Imaging Sci. Christoph Brune, Helmut Maurer, Marcus Wagner
2009	C	`conf`	Total Variation Processing of Images with Poisson Statistics. CAIP Alex Sawatzky, Christoph Brune, Jahn Müller, Martin Burger