Christoph Brune

According to our database, Christoph Brune authored at least 49 papers between 2009 and 2024.

Collaborative distances:

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

2024

RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations.

Sven Dummer, Nicola Strisciuglio, Christoph Brune

SIAM J. Imaging Sci., 2024

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

CoRR, 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

Sparsifying dimensionality reduction of PDE solution data with Bregman learning.

Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo

CoRR, 2024

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation.

Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink

CoRR, 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

Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators.

Lu Liu, Raymond N. J. Veldhuis, Christoph Brune

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

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, Duc Viet Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla

AI Soc., August, 2023

Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow.

Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger

CoRR, 2023

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

CoRR, 2023

Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models.

Nicolò Botteghi, Federico Califano, Mannes Poel, 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

RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations.

Sven Dummer, Nicola Strisciuglio, Christoph Brune

CoRR, 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning.

Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

What do neural networks learn in image classification? A frequency shortcut perspective.

Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets.

Julian Suk, Christoph Brune, Jelmer M. Wolterink

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression.

Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink

Proceedings of the Functional Imaging and Modeling of the Heart, 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

Proceedings of the Computer Analysis of Images and Patterns, 2023

Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation.

Lu Liu, Christoph Brune, Raymond N. J. Veldhuis

Proceedings of the Computer Analysis of Images and Patterns, 2023

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

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

Duality for Neural Networks through Reproducing Kernel Banach Spaces.

Len Spek, Tjeerd Jan Heeringa, Christoph Brune

CoRR, 2022

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review.

Nicolò Botteghi, Mannes Poel, Christoph Brune

CoRR, 2022

Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data.

Nicolò Botteghi, Mengwu Guo, Christoph Brune

CoRR, 2022

Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling.

Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors.

Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Implicit Neural Representations for Deformable Image Registration.

Jelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Self-supervised Learning Through Colorization for Microscopy Images.

Vaidehi Pandey, Christoph Brune, Nicola Strisciuglio

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021

Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics.

Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune

CoRR, 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

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning.

Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli

Proceedings of the Robot Intelligence Technology and Applications 6, 2021

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation.

Yoeri E. Boink, Srirang Manohar, Christoph Brune

IEEE Trans. Medical Imaging, 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

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

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Learned SVD: solving inverse problems via hybrid autoencoding.

Yoeri E. Boink, Christoph Brune

CoRR, 2019

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

Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition.

Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune

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

2014

Optimal data collection for informative rankings expose well-connected graphs.

Braxton Osting, Christoph Brune, Stanley J. Osher

J. Mach. Learn. Res., 2014

2013

Higher-Order TV Methods - Enhancement via Bregman Iteration.

Martin Benning, Christoph Brune, Martin Burger, Jahn Müller

J. Sci. Comput., 2013

Enhanced statistical rankings via targeted data collection.

Braxton Osting, Christoph Brune, Stanley J. Osher

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Optimal Data Collection for Improved Rankings Expose Well-Connected Graphs

Braxton Osting, Christoph Brune, Stanley J. Osher

CoRR, 2012

2011

Primal and Dual Bregman Methods with Application to Optical Nanoscopy.

Christoph Brune, Alex Sawatzky, Martin Burger

Int. J. Comput. Vis., 2011

2010

A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data.

Mohammad Dawood, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober, Michael Schäfers, Klaus P. Schäfers

Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

2009

Detection of Intensity and Motion Edges within Optical Flow via Multidimensional Control.

Christoph Brune, Helmut Maurer, Marcus Wagner

SIAM J. Imaging Sci., 2009

Bregman-EM-TV Methods with Application to Optical Nanoscopy.

Christoph Brune, Alex Sawatzky, Martin Burger

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Total Variation Processing of Images with Poisson Statistics.

Alex Sawatzky, Christoph Brune, Jahn Müller, Martin Burger

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009