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Christoph Brune
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2020 – today
- 2024
- [j10]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: 108328 (2024) - [c21]Lu Liu, Raymond N. J. Veldhuis, Christoph Brune:
Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators. MIUA (2) 2024: 127-142 - [i31]Patryk Rygiel, Dieuwertje Alblas, Christoph Brune
, Kak Khee Yeung, Jelmer M. Wolterink
:
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR abs/2403.15314 (2024) - [i30]Tjeerd Jan Heeringa, Christoph Brune
, Mengwu Guo:
Sparsifying dimensionality reduction of PDE solution data with Bregman learning. CoRR abs/2406.12672 (2024) - 2023
- [j9]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
:
Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI Soc. 38(4): 1465-1484 (2023) - [c20]Lu Liu
, Christoph Brune
, Raymond N. J. Veldhuis
:
Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation. CAIP (2) 2023: 119-129 - [c19]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: 201-211 - [c18]Dieuwertje Alblas
, Marieke Hofman, Christoph Brune
, Kak Khee Yeung
, Jelmer M. Wolterink
:
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. FIMH 2023: 356-365 - [c17]Julian Suk
, Christoph Brune
, Jelmer M. Wolterink
:
SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets. FIMH 2023: 445-454 - [c16]Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune
, Nicola Strisciuglio:
What do neural networks learn in image classification? A frequency shortcut perspective. ICCV 2023: 1433-1442 - [c15]Shunxin Wang, Christoph Brune
, Raymond N. J. Veldhuis, Nicola Strisciuglio:
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. ICCV (Workshops) 2023: 129-138 - [c14]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: 95-103 - [i29]Julian Suk, Christoph Brune
, Jelmer M. Wolterink
:
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets. CoRR abs/2302.08780 (2023) - [i28]Dieuwertje Alblas, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression. CoRR abs/2303.01069 (2023) - [i27]Sven Dummer
, Nicola Strisciuglio, Christoph Brune
:
RSA-INR: Riemannian Shape Autoencoding via 4D Implicit Neural Representations. CoRR abs/2305.12854 (2023) - [i26]Tjeerd Jan Heeringa, Len Spek
, Felix L. Schwenninger
, Christoph Brune
:
Embeddings between Barron spaces with higher order activation functions. CoRR abs/2305.15839 (2023) - [i25]Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune:
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models. CoRR abs/2306.15512 (2023) - [i24]Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune
, Nicola Strisciuglio:
What do neural networks learn in image classification? A frequency shortcut perspective. CoRR abs/2307.09829 (2023) - [i23]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 abs/2307.15461 (2023) - [i22]Shunxin Wang, Christoph Brune
, Raymond N. J. Veldhuis, Nicola Strisciuglio:
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. CoRR abs/2308.06622 (2023) - [i21]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 abs/2308.09538 (2023) - [i20]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 abs/2311.05400 (2023) - [i19]Tjeerd Jan Heeringa, Tim Roith, Christoph Brune
, Martin Burger:
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow. CoRR abs/2312.02671 (2023) - 2022
- [j8]Nathan Blanken
, Jelmer M. Wolterink
, Hervé Delingette
, Christoph Brune
, Michel Versluis
, Guillaume P. R. Lajoinie
:
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. IEEE Trans. Medical Imaging 41(9): 2532-2542 (2022) - [c13]Vaidehi Pandey, Christoph Brune
, Nicola Strisciuglio:
Self-supervised Learning Through Colorization for Microscopy Images. ICIAP (2) 2022: 621-632 - [c12]Jelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune:
Implicit Neural Representations for Deformable Image Registration. MIDL 2022: 1349-1359 - [c11]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 - [c10]Dieuwertje Alblas, Christoph Brune
, Kak Khee Yeung, Jelmer M. Wolterink
:
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. STACOM@MICCAI 2022: 79-90 - [i18]Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette, Christoph Brune, Michel Versluis, Guillaume P. R. Lajoinie:
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning. CoRR abs/2204.04537 (2022) - [i17]Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling. CoRR abs/2207.14663 (2022) - [i16]Nicolò Botteghi, Mengwu Guo, Christoph Brune:
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. CoRR abs/2208.12975 (2022) - [i15]Nicolò Botteghi, Mannes Poel, Christoph Brune
:
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. CoRR abs/2208.14226 (2022) - [i14]Len Spek
, Tjeerd Jan Heeringa, Christoph Brune
:
Duality for Neural Networks through Reproducing Kernel Banach Spaces. CoRR abs/2211.05020 (2022) - [i13]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 abs/2212.05023 (2022) - [i12]Yannik P. Wotte, Sven Dummer
, Nicolò Botteghi, Christoph Brune
, Stefano Stramigioli
, Federico Califano
:
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. CoRR abs/2212.14253 (2022) - 2021
- [c9]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: 190-197 - [c8]Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune
, Edwin Dertien, Stefano Stramigioli
:
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. RiTA 2021: 259-271 - [c7]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: 93-102 - [i11]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 abs/2106.05102 (2021) - [i10]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 abs/2107.01667 (2021) - [i9]Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune:
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. CoRR abs/2107.01677 (2021) - [i8]Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune
, Edwin Dertien, Stefano Stramigioli
:
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. CoRR abs/2107.03685 (2021) - [i7]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 abs/2109.04797 (2021) - [i6]Dieuwertje Alblas, Christoph Brune
, Jelmer M. Wolterink
:
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors. CoRR abs/2112.01137 (2021) - 2020
- [j7]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): 124-133 (2020) - [j6]Yoeri E. Boink
, Srirang Manohar
, Christoph Brune
:
A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation. IEEE Trans. Medical Imaging 39(1): 129-139 (2020) - [c6]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: 3736-3743 - [i5]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 abs/2007.16044 (2020)
2010 – 2019
- 2019
- [i4]Yoeri E. Boink, Christoph Brune
:
Learned SVD: solving inverse problems via hybrid autoencoding. CoRR abs/1912.10840 (2019) - 2017
- [j5]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): 111-146 (2017) - [c5]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: 80-93 - [i3]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 abs/1703.05560 (2017) - 2016
- [i2]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 abs/1604.06665 (2016) - 2014
- [j4]Braxton Osting, Christoph Brune, Stanley J. Osher:
Optimal data collection for informative rankings expose well-connected graphs. J. Mach. Learn. Res. 15(1): 2981-3012 (2014) - 2013
- [j3]Martin Benning
, Christoph Brune
, Martin Burger
, Jahn Müller:
Higher-Order TV Methods - Enhancement via Bregman Iteration. J. Sci. Comput. 54(2-3): 269-310 (2013) - [c4]Braxton Osting, Christoph Brune, Stanley J. Osher:
Enhanced statistical rankings via targeted data collection. ICML (1) 2013: 489-497 - 2012
- [i1]Braxton Osting, Christoph Brune, Stanley J. Osher:
Optimal Data Collection for Improved Rankings Expose Well-Connected Graphs. CoRR abs/1207.6430 (2012) - 2011
- [j2]Christoph Brune
, Alex Sawatzky, Martin Burger:
Primal and Dual Bregman Methods with Application to Optical Nanoscopy. Int. J. Comput. Vis. 92(2): 211-229 (2011) - 2010
- [c3]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: 88-97
2000 – 2009
- 2009
- [j1]Christoph Brune
, Helmut Maurer, Marcus Wagner
:
Detection of Intensity and Motion Edges within Optical Flow via Multidimensional Control. SIAM J. Imaging Sci. 2(4): 1190-1210 (2009) - [c2]Alex Sawatzky, Christoph Brune
, Jahn Müller, Martin Burger:
Total Variation Processing of Images with Poisson Statistics. CAIP 2009: 533-540 - [c1]Christoph Brune
, Alex Sawatzky, Martin Burger:
Bregman-EM-TV Methods with Application to Optical Nanoscopy. SSVM 2009: 235-246
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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