Markus Haltmeier

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 95

Top Venues

Publications

Thomas Prohaszka, Lukas Neumann, Markus Haltmeier
Derivative-Free iterative One-Step Reconstruction for Multispectral CT. CoRR (2024)
Andrea Ebner, Matthias Schwab, Markus Haltmeier
Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization. CoRR (2024)
Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier
A lightweight residual network for unsupervised deformable image registration. CoRR (2024)
Markus Haltmeier, Matthias Ye, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer
Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System. CoRR (2024)
Matthias Schwab, Agnes Mayr, Markus Haltmeier
Deep Gaussian mixture model for unsupervised image segmentation. CoRR (2024)
Andrea Ebner, Markus Haltmeier
Plug-and-Play Image Reconstruction Is a Convergent Regularization Method. IEEE Trans. Image Process. 33 (2024)
Markus Haltmeier, Gyeongha Hwang
ECALL: Expectation-calibrated learning for unsupervised blind deconvolution. CoRR (2024)
Daniel Obmann, Markus Haltmeier
Convergence rates for critical point regularization. Appl. Math. Comput. 471 (2024)
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 (2024)
Ngoc Do, Markus Haltmeier, Richard Kowar, Linh V. Nguyen, Robert Nuster
Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion. CoRR (2024)
Thomas Prohaszka, Lukas Neumann, Markus Haltmeier
Derivative-Free Iterative One-Step Reconstruction for Multispectral CT. J. Imaging 10 (5) (2024)
Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier
Single-Image based unsupervised joint segmentation and denoising. CoRR (2023)
Markus Haltmeier, Richard Kowar, Markus Tiefentaler
Data-driven Morozov regularization of inverse problems. CoRR (2023)
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 (2023)
Christoph Angermann, Simon Göppel, Markus Haltmeier
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction. CoRR (2023)
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34 (6) (2023)
Peter Burgholzer, Günther Mayr, Gregor Thummerer, Markus Haltmeier
Heat diffusion blurs photothermal images with increasing depth. CoRR (2023)
Daniel Obmann, Markus Haltmeier
Convergence rates for critical point regularization. CoRR (2023)
Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Markus Haltmeier, Gerald Degenhart
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks. CoRR (2023)
Daniel Obmann, Markus Haltmeier
Relaxed data-consistency for limited bandwidth photoacoustic tomography. CoRR (2023)
Simon Göppel, Jürgen Frikel, Markus Haltmeier
Translation invariant diagonal frame decomposition for the Radon transform. CoRR (2023)
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34 (5) (2023)
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) (2023)
Andrea Ebner, Markus Haltmeier
Convergence of non-linear diagonal frame filtering for regularizing inverse problems. CoRR (2023)
Daniel Obmann, Markus Haltmeier
Convergence analysis of equilibrium methods for inverse problems. CoRR (2023)
Simon Göppel, Jürgen Frikel, Markus Haltmeier
Data-proximal null-space networks for inverse problems. CoRR (2023)
Peter Burgholzer, Johannes Bauer-Marschallinger, Mike Hettich, Markus Haltmeier
Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity. CoRR (2023)
Aviv Gibali, Markus Haltmeier
Superiorized Regularization of Inverse Problems. CoRR (2023)
Simon Göppel, Jürgen Frikel, Markus Haltmeier
-TV reconstruction algorithm for limited data CT. CoRR (2023)
Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs. CoRR (2023)
Markus Haltmeier, Daniel Obmann, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer
Sampling and resolution in sparse view photoacoustic tomography. CoRR (2023)
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)
Andrea Ebner, Markus Haltmeier
Compressed Sensing of Indirect Data. CoRR (2022)
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 (2022)
Andrea Ebner, Markus Haltmeier
Plug-and-Play image reconstruction is a convergent regularization method. CoRR (2022)
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks. CoRR (2022)
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. CoRR (2022)
Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
A Joint Variational Multichannel Multiphase Segmentation Framework. CoRR (2022)
Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks. ECCV Workshops (8) (2022)
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. CoRR (2022)
Simon Göppel, Jürgen Frikel, Markus Haltmeier
Feature reconstruction from incomplete tomographic data without detour. CoRR (2022)
Linh Nguyen, Markus Haltmeier, Richard Kowar, Ngoc Do
Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed. SIAM J. Imaging Sci. 15 (3) (2022)
Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
Unsupervised Joint Image Transfer and Uncertainty Quantification using Patch Invariant Networks. CoRR (2022)
Simon Göppel, Jürgen Frikel, Markus Haltmeier
Translation invariant diagonal frame decomposition of inverse problems and their regularization. CoRR (2022)
Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. EUSIPCO (2022)
Gerhard Zangerl, Markus Haltmeier
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. SIAM J. Imaging Sci. 14 (2) (2021)
Jürgen Frikel, Simon Göppel, Markus Haltmeier
Combining Reconstruction and Edge Detection in Computed Tomography. Bildverarbeitung für die Medizin (2021)
Christoph Angermann, Adéla Moravová, Markus Haltmeier, Steinbjörn Jónsson, Christian Laubichler
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs. CoRR (2021)
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 (2021)
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 (2021)
Jürgen Frikel, Simon Göppel, Markus Haltmeier
Combining reconstruction and edge detection in computed tomography. CoRR (2021)
Florian Dreier, Markus Haltmeier
Recovering the Initial Data of the Wave Equation from Neumann Traces. SIAM J. Math. Anal. 53 (2) (2021)
Stephan Antholzer, Markus Haltmeier
Discretization of Learned NETT Regularization for Solving Inverse Problems. J. Imaging 7 (11) (2021)
Christoph Angermann, Markus Haltmeier
Deep structure learning using feature extraction in trained projection space. Comput. Electr. Eng. 92 (2021)
Markus Haltmeier, Linh V. Nguyen
Regularization of Inverse Problems by Neural Networks. CoRR (2020)
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) (2020)
Johannes Schwab, Stephan Antholzer, Markus Haltmeier
Big in Japan: Regularizing Networks for Solving Inverse Problems. J. Math. Imaging Vis. 62 (3) (2020)
Florian Dreier, Markus Haltmeier
Explicit Inversion Formulas for the Two-Dimensional Wave Equation from Neumann Traces. SIAM J. Imaging Sci. 13 (2) (2020)
Gerhard Zangerl, Markus Haltmeier
Multi-Scale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. CoRR (2020)
Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
Sparse aNETT for Solving Inverse Problems with Deep Learning. CoRR (2020)
Stephan Antholzer, Markus Haltmeier
Discretization of learned NETT regularization for solving inverse problems. CoRR (2020)
Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab
Data-consistent neural networks for solving nonlinear inverse problems. CoRR (2020)
Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. CoRR (2020)
Markus Haltmeier, A. Leitao, Otmar Scherzer
Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis. CoRR (2020)
Markus Haltmeier, Sunghwan Moon
The conical Radon transform with vertices on triple lines. CoRR (2020)
Daniel Obmann, Johannes Schwab, Markus Haltmeier
Deep synthesis regularization of inverse problems. CoRR (2020)
Andrea Ebner, Jürgen Frikel, Dirk Lorenz, Johannes Schwab, Markus Haltmeier
Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. CoRR (2020)
Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
Sparse Anett For Solving Inverse Problems With Deep Learning. ISBI Workshops (2020)
Markus Haltmeier, R. Kowar, A. Leitao, Otmar Scherzer
Regularization of systems of nonlinear ill-posed equations: II. Applications. CoRR (2020)
Christoph Angermann, Markus Haltmeier
PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space. CoRR (2020)
Christoph Angermann, Markus Haltmeier
Random 2.5D U-net for Fully 3D Segmentation. MLMECH/CVII-STENT@MICCAI (2019)
Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab
-regularization of inverse problems with deep learning. CoRR (2019)
Simon Rabanser, Lukas Neumann, Markus Haltmeier
Analysis of the Block Coordinate Descent Method for Linear Ill-Posed Problems. SIAM J. Imaging Sci. 12 (4) (2019)
Nadja Gruber, Stephan Antholzer, Werner Jaschke, Christian Kremser, Markus Haltmeier
A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation. CoRR (2019)
Christoph Angermann, Markus Haltmeier
Random 2.5D U-net for Fully 3D Segmentation. CoRR (2019)
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 (2019)
Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. CoRR (2019)
Markus Haltmeier, Linh V. Nguyen
Reconstruction Algorithms for Photoacoustic Tomography in Heterogeneous Damping Media. J. Math. Imaging Vis. 61 (7) (2019)
Jürgen Frikel, Markus Haltmeier
Sparse regularization of inverse problems by biorthogonal frame thresholding. CoRR (2019)
Florian Dreier, Sergiy Pereverzyev Jr., Markus Haltmeier
Operator Learning Approach for the Limited View Problem in Photoacoustic Tomography. Comput. Methods Appl. Math. 19 (4) (2019)
Simon Rabanser, Lukas Neumann, Markus Haltmeier
Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography. Entropy 20 (2) (2018)
Hessel Tuinhof, Clemens Pirker, Markus Haltmeier
Image Based Fashion Product Recommendation with Deep Learning. CoRR (2018)
Housen Li, Markus Haltmeier
The Averaged Kaczmarz Iteration for Solving Inverse Problems. SIAM J. Imaging Sci. 11 (1) (2018)
Markus Haltmeier, Lukas Neumann, Linh V. Nguyen, Simon Rabanser
Analysis of the Linearized Problem of Quantitative Photoacoustic Tomography. SIAM J. Appl. Math. 78 (1) (2018)
Housen Li, Johannes Schwab, Stephan Antholzer, Markus Haltmeier
NETT: Solving Inverse Problems with Deep Neural Networks. CoRR (2018)
Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey
A U-Nets Cascade for Sparse View Computed Tomography. MLMIR@MICCAI (2018)
Johannes Schwab, Sergiy Pereverzyev Jr., Markus Haltmeier
A Galerkin Least Squares Approach for Photoacoustic Tomography. SIAM J. Numer. Anal. 56 (1) (2018)
Hessel Tuinhof, Clemens Pirker, Markus Haltmeier
Image-Based Fashion Product Recommendation with Deep Learning. LOD (2018)
Stephan Antholzer, Christoph Wolf, Michael Sandbichler, Markus Dielacher, Markus Haltmeier
A Framework for Compressive Time-of-Flight 3D Sensing. CoRR (2017)
Markus Haltmeier, Sunghwan Moon, Daniela Schiefeneder
Inversion of the Attenuated V-Line Transform With Vertices on the Circle. IEEE Trans. Computational Imaging 3 (4) (2017)
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) (2017)
Markus Haltmeier, Linh V. Nguyen
Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed. SIAM J. Imaging Sci. 10 (2) (2017)
Stephan Antholzer, Markus Haltmeier, Johannes Schwab
Deep Learning for Photoacoustic Tomography from Sparse Data. CoRR (2017)
Daniela Schiefeneder, Markus Haltmeier
The Radon Transform over Cones with Vertices on the Sphere and Orthogonal Axes. SIAM J. Appl. Math. 77 (4) (2017)
Markus Haltmeier
Sampling Conditions for the Circular Radon Transform. IEEE Trans. Image Process. 25 (6) (2016)
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) (2015)
Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. SIAM J. Appl. Math. 75 (6) (2015)
Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. CoRR (2015)
Markus Haltmeier
Universal Inversion Formulas for Recovering a Function from Spherical Means. SIAM J. Math. Anal. 46 (1) (2014)
Markus Haltmeier
-Minimization in Redundant, Non-Tight Frames. IEEE Trans. Signal Process. 61 (2) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Markus Haltmeier