Christoph Brune

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 53

Top Topics

Multiscale Segmentation

Top Venues

IEEE Trans. Medical Imaging

Publications

Lu Liu, Raymond N. J. Veldhuis, Christoph Brune
Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators. MIUA (2) (2024)
Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR (2024)
Tjeerd Jan Heeringa, Christoph Brune, Mengwu Guo
Sparsifying dimensionality reduction of PDE solution data with Bregman learning. CoRR (2024)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Comput. Biol. Medicine 173 (2024)
Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. CoRR (2023)
Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI. CoRR (2023)
Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
What do neural networks learn in image classification? A frequency shortcut perspective. ICCV (2023)
Tjeerd Jan Heeringa, Len Spek, Felix L. Schwenninger, Christoph Brune
Embeddings between Barron spaces with higher order activation functions. CoRR (2023)
Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CoRR (2023)
Julian Suk, Christoph Brune, Jelmer M. Wolterink
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets. CoRR (2023)
Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CAIP (2) (2023)
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 V. Le, Mingshu Wang, Fons Wijnhoven, Jelmer M. Wolterink, Raúl Zurita-Milla
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 38 (4) (2023)
Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. CoRR (2023)
Tjeerd Jan Heeringa, Tim Roith, Christoph Brune, Martin Burger
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow. CoRR (2023)
Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. ICCV (Workshops) (2023)
Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink
Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. UNSURE@MICCAI (2023)
Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. CoRR (2023)
Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. FIMH (2023)
Sven Dummer, Nicola Strisciuglio, Christoph Brune
RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations. CoRR (2023)
Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. CoRR (2023)
Julian Suk, Christoph Brune, Jelmer M. Wolterink
SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. FIMH (2023)
Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio
What do neural networks learn in image classification? A frequency shortcut perspective. CoRR (2023)
Lu Liu, Christoph Brune, Raymond N. J. Veldhuis
Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation. CAIP (2) (2023)
Yannik Wotte, Sven Dummer, Nicolò Botteghi, Christoph Brune, Stefano Stramigioli, Federico Califano
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. CoRR (2022)
Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume Lajoinie
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Trans. Medical Imaging 41 (9) (2022)
Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. CoRR (2022)
Jelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune
Implicit Neural Representations for Deformable Image Registration. MIDL (2022)
Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. Medical Imaging: Image Processing (2022)
Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. STACOM@MICCAI (2022)
Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume Lajoinie
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. CoRR (2022)
Nicolò Botteghi, Mengwu Guo, Christoph Brune
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR (2022)
Len Spek, Tjeerd Jan Heeringa, Christoph Brune
Duality for Neural Networks through Reproducing Kernel Banach Spaces. CoRR (2022)
Vaidehi Pandey, Christoph Brune, Nicola Strisciuglio
Self-supervised Learning Through Colorization for Microscopy Images. ICIAP (2) (2022)
Nicolò Botteghi, Mannes Poel, Christoph Brune
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. CoRR (2022)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. CoRR (2022)
Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. CoRR (2021)
Manu Kalia, Steven L. Brunton, Hil G. E. Meijer, Christoph Brune, J. Nathan Kutz
Learning normal form autoencoders for data-driven discovery of universal, parameter-dependent governing equations. CoRR (2021)
Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. RiTA (2021)
Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. IROS (2021)
Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. CoRR (2021)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. STACOM@MICCAI (2021)
Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. CoRR (2021)
Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. CoRR (2021)
Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. CoRR (2021)
Yoeri E. Boink, Srirang Manohar, Christoph Brune
A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation. IEEE Trans. Medical Imaging 39 (1) (2020)
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
Deep learning of circulating tumour cells. Nat. Mach. Intell. 2 (2) (2020)
Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
Low Dimensional State Representation Learning with Reward-shaped Priors. CoRR (2020)
Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli
Low Dimensional State Representation Learning with Reward-shaped Priors. ICPR (2020)
Yoeri E. Boink, Christoph Brune
Learned SVD: solving inverse problems via hybrid autoencoding. CoRR (2019)
Leonie Zeune, Guus van Dalum, Leon W. M. M. Terstappen, Stephan A. van Gils, Christoph Brune
Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis. SIAM J. Imaging Sci. 10 (1) (2017)
Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition. CoRR (2017)
Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition. SSVM (2017)
Leonie Zeune, Guus van Dalum, Leon W. M. M. Terstappen, Stephan A. van Gils, Christoph Brune
Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis. CoRR (2016)
Braxton Osting, Christoph Brune, Stanley J. Osher
Optimal data collection for informative rankings expose well-connected graphs. J. Mach. Learn. Res. 15 (1) (2014)
Braxton Osting, Christoph Brune, Stanley J. Osher
Enhanced statistical rankings via targeted data collection. ICML (1) (2013)
Martin Benning, Christoph Brune, Martin Burger, Jahn Müller
Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. 54 (2-3) (2013)
Braxton Osting, Christoph Brune, Stanley J. Osher
Optimal Data Collection for Improved Rankings Expose Well-Connected Graphs CoRR (2012)
Christoph Brune, Alex Sawatzky, Martin Burger
Primal and Dual Bregman Methods with Application to Optical Nanoscopy. Int. J. Comput. Vis. 92 (2) (2011)
Mohammad Dawood, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober, Michael Schäfers, Klaus P. Schäfers
A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data. MIAR (2010)
Alex Sawatzky, Christoph Brune, Jahn Müller, Martin Burger
Total Variation Processing of Images with Poisson Statistics. CAIP (2009)
Christoph Brune, Alex Sawatzky, Martin Burger
Bregman-EM-TV Methods with Application to Optical Nanoscopy. SSVM (2009)
Christoph Brune, Helmut Maurer, Marcus Wagner
Detection of Intensity and Motion Edges within Optical Flow via Multidimensional Control. SIAM J. Imaging Sci. 2 (4) (2009)