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Markus Haltmeier
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2020 – today
- 2024
- [j39]Daniel Obmann, Markus Haltmeier:
Convergence rates for critical point regularization. Appl. Math. Comput. 471: 128605 (2024) - [j38]Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier:
Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging. J. Comput. Appl. Math. 439: 115583 (2024) - [j37]Thomas Prohaszka, Lukas Neumann, Markus Haltmeier:
Derivative-Free Iterative One-Step Reconstruction for Multispectral CT. J. Imaging 10(5): 98 (2024) - [j36]Andrea Ebner, Markus Haltmeier:
Plug-and-Play Image Reconstruction Is a Convergent Regularization Method. IEEE Trans. Image Process. 33: 1476-1486 (2024) - [i59]Markus Haltmeier, Gyeongha Hwang:
ECALL: Expectation-calibrated learning for unsupervised blind deconvolution. CoRR abs/2402.00670 (2024) - [i58]Thomas Prohaszka, Lukas Neumann, Markus Haltmeier:
Derivative-Free iterative One-Step Reconstruction for Multispectral CT. CoRR abs/2402.12250 (2024) - [i57]Markus Haltmeier, Matthias Ye, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer:
Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System. CoRR abs/2402.15750 (2024) - [i56]Matthias Schwab, Agnes Mayr, Markus Haltmeier:
Deep Gaussian mixture model for unsupervised image segmentation. CoRR abs/2404.12252 (2024) - [i55]Ngoc Do, Markus Haltmeier, Richard Kowar, Linh V. Nguyen, Robert Nuster:
Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion. CoRR abs/2405.18082 (2024) - [i54]Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier:
A lightweight residual network for unsupervised deformable image registration. CoRR abs/2406.09774 (2024) - [i53]Andrea Ebner, Matthias Schwab, Markus Haltmeier:
Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization. CoRR abs/2406.17461 (2024) - 2023
- [j35]Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml:
Surface topography characterization using a simple optical device and artificial neural networks. Eng. Appl. Artif. Intell. 123(Part B): 106337 (2023) - [j34]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34(5): 82 (2023) - [j33]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34(6): 119 (2023) - [i52]Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier:
Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs. CoRR abs/2302.02214 (2023) - [i51]Daniel Obmann, Markus Haltmeier:
Convergence rates for critical point regularization. CoRR abs/2302.08830 (2023) - [i50]Christoph Angermann, Simon Göppel, Markus Haltmeier:
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction. CoRR abs/2304.06955 (2023) - [i49]Simon Göppel, Jürgen Frikel, Markus Haltmeier:
A complementary 𝓁1-TV reconstruction algorithm for limited data CT. CoRR abs/2304.11599 (2023) - [i48]Simon Göppel, Jürgen Frikel, Markus Haltmeier:
Translation invariant diagonal frame decomposition for the Radon transform. CoRR abs/2305.02708 (2023) - [i47]Daniel Obmann, Markus Haltmeier:
Convergence analysis of equilibrium methods for inverse problems. CoRR abs/2306.01421 (2023) - [i46]Matthias Schwab, Mathias Pamminger, Christian Kremser, Daniel Obmann, Markus Haltmeier, Agnes Mayr:
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images. CoRR abs/2306.14725 (2023) - [i45]Andrea Ebner, Markus Haltmeier:
Convergence of non-linear diagonal frame filtering for regularizing inverse problems. CoRR abs/2308.15666 (2023) - [i44]Simon Göppel, Jürgen Frikel, Markus Haltmeier:
Data-proximal null-space networks for inverse problems. CoRR abs/2309.06573 (2023) - [i43]Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier:
Single-Image based unsupervised joint segmentation and denoising. CoRR abs/2309.10511 (2023) - [i42]Aviv Gibali, Markus Haltmeier:
Superiorized Regularization of Inverse Problems. CoRR abs/2310.09431 (2023) - [i41]Daniel Obmann, Markus Haltmeier:
Relaxed data-consistency for limited bandwidth photoacoustic tomography. CoRR abs/2310.09438 (2023) - [i40]Markus Haltmeier, Daniel Obmann, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer:
Sampling and resolution in sparse view photoacoustic tomography. CoRR abs/2310.09447 (2023) - [i39]Peter Burgholzer, Günther Mayr, Gregor Thummerer, Markus Haltmeier:
Heat diffusion blurs photothermal images with increasing depth. CoRR abs/2310.13943 (2023) - [i38]Peter Burgholzer, Johannes Bauer-Marschallinger, Mike Hettich, Markus Haltmeier:
Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity. CoRR abs/2310.13952 (2023) - [i37]Markus Haltmeier, Richard Kowar, Markus Tiefentaler:
Data-driven Morozov regularization of inverse problems. CoRR abs/2310.14290 (2023) - [i36]Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Markus Haltmeier, Gerald Degenhart:
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks. CoRR abs/2310.17216 (2023) - 2022
- [j32]Nadja Gruber, Malik Galijasevic, Milovan Regodic, Astrid Ellen Grams, Christian M. Siedentopf, Ruth Steiger, Marlene Hammerl, Markus Haltmeier, Elke Ruth Gizewski, Tanja Janjic:
A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates. Artif. Intell. Medicine 132: 102384 (2022) - [j31]Linh Nguyen, Markus Haltmeier, Richard Kowar, Ngoc Do:
Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed. SIAM J. Imaging Sci. 15(3): 1213-1228 (2022) - [c9]Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal:
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks. ECCV Workshops (8) 2022: 61-77 - [c8]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. EUSIPCO 2022: 1213-1217 - [c7]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks. ISBI 2022: 1-5 - [i35]Andrea Ebner, Markus Haltmeier:
Compressed Sensing of Indirect Data. CoRR abs/2201.00338 (2022) - [i34]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. CoRR abs/2201.12170 (2022) - [i33]Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier:
A Joint Variational Multichannel Multiphase Segmentation Framework. CoRR abs/2202.04680 (2022) - [i32]Simon Göppel, Jürgen Frikel, Markus Haltmeier:
Feature reconstruction from incomplete tomographic data without detour. CoRR abs/2202.10724 (2022) - [i31]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks. CoRR abs/2203.02166 (2022) - [i30]Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. CoRR abs/2206.04447 (2022) - [i29]Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal:
Unsupervised Joint Image Transfer and Uncertainty Quantification using Patch Invariant Networks. CoRR abs/2207.04325 (2022) - [i28]Simon Göppel, Jürgen Frikel, Markus Haltmeier:
Translation invariant diagonal frame decomposition of inverse problems and their regularization. CoRR abs/2208.08500 (2022) - [i27]Andrea Ebner, Markus Haltmeier:
Plug-and-Play image reconstruction is a convergent regularization method. CoRR abs/2212.06881 (2022) - 2021
- [j30]Christoph Angermann, Markus Haltmeier:
Deep structure learning using feature extraction in trained projection space. Comput. Electr. Eng. 92: 107097 (2021) - [j29]Stephan Antholzer, Markus Haltmeier:
Discretization of Learned NETT Regularization for Solving Inverse Problems. J. Imaging 7(11): 239 (2021) - [j28]Gerhard Zangerl, Markus Haltmeier:
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. SIAM J. Imaging Sci. 14(2): 558-579 (2021) - [j27]Florian Dreier, Markus Haltmeier:
Recovering the Initial Data of the Wave Equation from Neumann Traces. SIAM J. Math. Anal. 53(2): 2427-2451 (2021) - [c6]Jürgen Frikel, Simon Göppel, Markus Haltmeier:
Combining Reconstruction and Edge Detection in Computed Tomography. Bildverarbeitung für die Medizin 2021: 153-157 - [i26]Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch:
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. CoRR abs/2102.00783 (2021) - [i25]Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml:
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines. CoRR abs/2103.08482 (2021) - [i24]Jürgen Frikel, Simon Göppel, Markus Haltmeier:
Combining reconstruction and edge detection in computed tomography. CoRR abs/2109.00428 (2021) - 2020
- [j26]Andrés Martínez, Claudia Schmuck, Sergiy Pereverzyev Jr., Clemens Pirker, Markus Haltmeier:
A machine learning framework for customer purchase prediction in the non-contractual setting. Eur. J. Oper. Res. 281(3): 588-596 (2020) - [j25]Johannes Schwab, Stephan Antholzer, Markus Haltmeier:
Big in Japan: Regularizing Networks for Solving Inverse Problems. J. Math. Imaging Vis. 62(3): 445-455 (2020) - [j24]Florian Dreier, Markus Haltmeier:
Explicit Inversion Formulas for the Two-Dimensional Wave Equation from Neumann Traces. SIAM J. Imaging Sci. 13(2): 589-608 (2020) - [c5]Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier:
Sparse Anett For Solving Inverse Problems With Deep Learning. ISBI Workshops 2020: 1-4 - [i23]Daniel Obmann, Johannes Schwab, Markus Haltmeier:
Deep synthesis regularization of inverse problems. CoRR abs/2002.00155 (2020) - [i22]Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier:
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. CoRR abs/2002.03820 (2020) - [i21]Markus Haltmeier, Sunghwan Moon:
The conical Radon transform with vertices on triple lines. CoRR abs/2002.10730 (2020) - [i20]Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab:
Data-consistent neural networks for solving nonlinear inverse problems. CoRR abs/2003.11253 (2020) - [i19]Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier:
Sparse aNETT for Solving Inverse Problems with Deep Learning. CoRR abs/2004.09565 (2020) - [i18]Markus Haltmeier, Linh V. Nguyen:
Regularization of Inverse Problems by Neural Networks. CoRR abs/2006.03972 (2020) - [i17]Gerhard Zangerl, Markus Haltmeier:
Multi-Scale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. CoRR abs/2007.14747 (2020) - [i16]Andrea Ebner, Jürgen Frikel, Dirk A. Lorenz, Johannes Schwab, Markus Haltmeier:
Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. CoRR abs/2008.06219 (2020) - [i15]Christoph Angermann, Markus Haltmeier:
PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space. CoRR abs/2009.00378 (2020) - [i14]Stephan Antholzer, Markus Haltmeier:
Discretization of learned NETT regularization for solving inverse problems. CoRR abs/2011.03627 (2020) - [i13]Markus Haltmeier, A. Leitao, Otmar Scherzer:
Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis. CoRR abs/2011.09893 (2020) - [i12]Markus Haltmeier, Richard Kowar, A. Leitao, Otmar Scherzer:
Regularization of systems of nonlinear ill-posed equations: II. Applications. CoRR abs/2011.09913 (2020)
2010 – 2019
- 2019
- [j23]Florian Dreier, Sergiy Pereverzyev Jr., Markus Haltmeier:
Operator Learning Approach for the Limited View Problem in Photoacoustic Tomography. Comput. Methods Appl. Math. 19(4): 749-764 (2019) - [j22]Markus Haltmeier, Linh V. Nguyen:
Reconstruction Algorithms for Photoacoustic Tomography in Heterogeneous Damping Media. J. Math. Imaging Vis. 61(7): 1007-1021 (2019) - [j21]Simon Rabanser, Lukas Neumann, Markus Haltmeier:
Analysis of the Block Coordinate Descent Method for Linear Ill-Posed Problems. SIAM J. Imaging Sci. 12(4): 1808-1832 (2019) - [c4]Christoph Angermann, Markus Haltmeier:
Random 2.5D U-net for Fully 3D Segmentation. MLMECH/CVII-STENT@MICCAI 2019: 158-166 - [i11]Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski:
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. CoRR abs/1902.00347 (2019) - [i10]Nadja Gruber, Stephan Antholzer, Werner Jaschke, Christian Kremser, Markus Haltmeier:
A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation. CoRR abs/1902.07971 (2019) - [i9]Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab:
Sparse 𝓁q-regularization of inverse problems with deep learning. CoRR abs/1908.03006 (2019) - [i8]Jürgen Frikel, Markus Haltmeier:
Sparse regularization of inverse problems by biorthogonal frame thresholding. CoRR abs/1909.09364 (2019) - [i7]Christoph Angermann, Markus Haltmeier:
Random 2.5D U-net for Fully 3D Segmentation. CoRR abs/1910.10398 (2019) - [i6]Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch:
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging. CoRR abs/1912.09395 (2019) - 2018
- [j20]Simon Rabanser, Lukas Neumann, Markus Haltmeier:
Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography. Entropy 20(2): 121 (2018) - [j19]Markus Haltmeier, Lukas Neumann, Linh V. Nguyen, Simon Rabanser:
Analysis of the Linearized Problem of Quantitative Photoacoustic Tomography. SIAM J. Appl. Math. 78(1): 457-478 (2018) - [j18]Housen Li, Markus Haltmeier:
The Averaged Kaczmarz Iteration for Solving Inverse Problems. SIAM J. Imaging Sci. 11(1): 618-642 (2018) - [j17]Johannes Schwab, Sergiy Pereverzyev Jr., Markus Haltmeier:
A Galerkin Least Squares Approach for Photoacoustic Tomography. SIAM J. Numer. Anal. 56(1): 160-184 (2018) - [c3]Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey:
A U-Nets Cascade for Sparse View Computed Tomography. MLMIR@MICCAI 2018: 91-99 - [c2]Hessel Tuinhof, Clemens Pirker, Markus Haltmeier:
Image-Based Fashion Product Recommendation with Deep Learning. LOD 2018: 472-481 - [i5]Housen Li, Johannes Schwab, Stephan Antholzer, Markus Haltmeier:
NETT: Solving Inverse Problems with Deep Neural Networks. CoRR abs/1803.00092 (2018) - [i4]Hessel Tuinhof, Clemens Pirker, Markus Haltmeier:
Image Based Fashion Product Recommendation with Deep Learning. CoRR abs/1805.08694 (2018) - 2017
- [j16]Daniela Schiefeneder, Markus Haltmeier:
The Radon Transform over Cones with Vertices on the Sphere and Orthogonal Axes. SIAM J. Appl. Math. 77(4): 1335-1351 (2017) - [j15]Sunghwan Moon, Markus Haltmeier:
Analytic Inversion of a Conical Radon Transform Arising in Application of Compton Cameras on the Cylinder. SIAM J. Imaging Sci. 10(2): 535-557 (2017) - [j14]Markus Haltmeier, Linh V. Nguyen:
Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed. SIAM J. Imaging Sci. 10(2): 751-781 (2017) - [j13]Markus Haltmeier, Sunghwan Moon, Daniela Schiefeneder:
Inversion of the Attenuated V-Line Transform With Vertices on the Circle. IEEE Trans. Computational Imaging 3(4): 853-863 (2017) - [i3]Stephan Antholzer, Markus Haltmeier, Johannes Schwab:
Deep Learning for Photoacoustic Tomography from Sparse Data. CoRR abs/1704.04587 (2017) - [i2]Stephan Antholzer, Christoph Wolf, Michael Sandbichler, Markus Dielacher, Markus Haltmeier:
A Framework for Compressive Time-of-Flight 3D Sensing. CoRR abs/1710.10444 (2017) - 2016
- [j12]Markus Haltmeier:
Sampling Conditions for the Circular Radon Transform. IEEE Trans. Image Process. 25(6): 2910-2919 (2016) - 2015
- [j11]Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier:
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. SIAM J. Appl. Math. 75(6): 2475-2494 (2015) - [j10]Markus Haltmeier, Sergiy Pereverzyev Jr.:
Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains. SIAM J. Imaging Sci. 8(1): 592-610 (2015) - [i1]Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier:
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. CoRR abs/1501.04305 (2015) - 2014
- [j9]Markus Haltmeier:
Universal Inversion Formulas for Recovering a Function from Spherical Means. SIAM J. Math. Anal. 46(1): 214-232 (2014) - 2013
- [j8]Markus Haltmeier:
Inversion of circular means and the wave equation on convex planar domains. Comput. Math. Appl. 65(7): 1025-1036 (2013) - [j7]Markus Haltmeier:
Stable Signal Reconstruction via 1 -Minimization in Redundant, Non-Tight Frames. IEEE Trans. Signal Process. 61(2): 420-426 (2013) - [c1]Markus Haltmeier:
Block-sparse analysis regularization of ill-posed problems via l2, 1-minimization. MMAR 2013: 520-523 - 2011
- [j6]Markus Grasmair, Markus Haltmeier, Otmar Scherzer:
The residual method for regularizing ill-posed problems. Appl. Math. Comput. 218(6): 2693-2710 (2011) - [j5]Markus Haltmeier:
A Mollification Approach for Inverting the Spherical Mean Radon Transform. SIAM J. Appl. Math. 71(5): 1637-1652 (2011) - [j4]Markus Haltmeier:
Inversion Formulas for a Cylindrical Radon Transform. SIAM J. Imaging Sci. 4(3): 789-806 (2011)
2000 – 2009
- 2009
- [b1]Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier, Frank Lenzen:
Variational Methods in Imaging. Applied mathematical sciences 167, Springer 2009, ISBN 978-0-387-30931-6, pp. I-XIII, 1-320 - [j3]Markus Haltmeier, Otmar Scherzer, Gerhard Zangerl:
A Reconstruction Algorithm for Photoacoustic Imaging Based on the Nonuniform FFT. IEEE Trans. Medical Imaging 28(11): 1727-1735 (2009) - 2008
- [j2]A. De Cezaro, Markus Haltmeier, Antonio Leitão, Otmar Scherzer:
On Steepest-Descent-Kaczmarz methods for regularizing systems of nonlinear ill-posed equations. Appl. Math. Comput. 202(2): 596-607 (2008) - 2007
- [j1]Markus Haltmeier, David Finch, Rakesh:
Inversion of Spherical Means and the Wave Equation in Even Dimensions. SIAM J. Appl. Math. 68(2): 392-412 (2007)
Coauthor Index
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