Markus Haltmeier
Orcid: 0000-0001-5715-0331
According to our database1,
Markus Haltmeier
authored at least 96 papers
between 2007 and 2025.
Collaborative distances:
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Bibliography
2025
Inversion formulas for the attenuated conical Radon transform: Plane and cylinder case.
Appl. Math. Comput., 2025
2024
J. Imaging, May, 2024
Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging.
J. Comput. Appl. Math., March, 2024
IEEE Trans. Image Process., 2024
CoRR, 2024
CoRR, 2024
Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion.
CoRR, 2024
Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System.
CoRR, 2024
CoRR, 2024
2023
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction.
Mach. Vis. Appl., November, 2023
Mach. Vis. Appl., September, 2023
Surface topography characterization using a simple optical device and artificial neural networks.
Eng. Appl. Artif. Intell., 2023
CoRR, 2023
Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity.
CoRR, 2023
Convergence of non-linear diagonal frame filtering for regularizing inverse problems.
CoRR, 2023
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs.
CoRR, 2023
2022
SIAM J. Imaging Sci., September, 2022
Translation invariant diagonal frame decomposition of inverse problems and their regularization.
CoRR, 2022
A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates.
Artif. Intell. Medicine, 2022
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks.
Proceedings of the 30th European Signal Processing Conference, 2022
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
SIAM J. Math. Anal., 2021
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography.
SIAM J. Imaging Sci., 2021
J. Imaging, 2021
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines.
CoRR, 2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction.
CoRR, 2021
Comput. Electr. Eng., 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Explicit Inversion Formulas for the Two-Dimensional Wave Equation from Neumann Traces.
SIAM J. Imaging Sci., 2020
J. Math. Imaging Vis., 2020
A machine learning framework for customer purchase prediction in the non-contractual setting.
Eur. J. Oper. Res., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Multi-Scale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography.
CoRR, 2020
CoRR, 2020
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
2019
SIAM J. Imaging Sci., 2019
Reconstruction Algorithms for Photoacoustic Tomography in Heterogeneous Damping Media.
J. Math. Imaging Vis., 2019
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging.
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Comput. Methods Appl. Math., 2019
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019
2018
SIAM J. Numer. Anal., 2018
SIAM J. Imaging Sci., 2018
SIAM J. Appl. Math., 2018
Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography.
Entropy, 2018
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
2017
IEEE Trans. Computational Imaging, 2017
Analytic Inversion of a Conical Radon Transform Arising in Application of Compton Cameras on the Cylinder.
SIAM J. Imaging Sci., 2017
SIAM J. Imaging Sci., 2017
SIAM J. Appl. Math., 2017
2016
IEEE Trans. Image Process., 2016
2015
Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains.
SIAM J. Imaging Sci., 2015
SIAM J. Appl. Math., 2015
2014
SIAM J. Math. Anal., 2014
2013
Stable Signal Reconstruction via <sup>1</sup> -Minimization in Redundant, Non-Tight Frames.
IEEE Trans. Signal Process., 2013
Comput. Math. Appl., 2013
Block-sparse analysis regularization of ill-posed problems via l<sup>2, 1</sup>-minimization.
Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013
2011
SIAM J. Appl. Math., 2011
2009
IEEE Trans. Medical Imaging, 2009
Applied mathematical sciences 167, Springer, ISBN: 978-0-387-30931-6, 2009
2008
On Steepest-Descent-Kaczmarz methods for regularizing systems of nonlinear ill-posed equations.
Appl. Math. Comput., 2008
2007
SIAM J. Appl. Math., 2007