Markus Haltmeier

133 papers Misc 1Journal 114Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Consistent Learning of Inverse Problems. CoRR Markus Haltmeier, Gyeongha Hwang
2026	J	`jnl`	Deep Learning Framework for Automated MRI Planimetry in Multiple Sclerosis. Int. J. Biomed. Imaging Stephanie Mangesius, Daniela Schiefeneder, Matthias Schwab, Markus Tiefenthaler, Florian Deisenhammer, Markus Haltmeier, Elke Ruth Gizewski
2026	J	`jnl`	HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training. CoRR Markus Haltmeier, Lukas Neumann, Nadja Gruber, Johannes Schwab, Gyeongha Hwang
2026	J	`jnl`	Schrödinger-Inspired Time-Evolution for 4D Deformation Forecasting. CoRR Ahsan Raza Siyal, Markus Haltmeier, Ruth Steiger, Elke Ruth Gizewski, Astrid Ellen Grams
2025	—	`conf`	Cine-CLIP: Reducing Cine-MRI Dimensionality with Temporal Variability for Left Ventricular Ejection Fraction Estimation. PRIME@MICCAI Enrique Almar-Munoz, Marawan Elbatel, Cristian Izquierdo, Illia Stepin, Machteld J. Boonstra, Xiaomeng Li, Christian Kremser, Matthias Schwab, Steffen E. Petersen, Markus Haltmeier, Agnes Mayr, Karim Lekadir
2025	J	`jnl`	DARE: A Deformable Adaptive Regularization Estimator for Learning-Based Medical Image Registration. CoRR Ahsan Raza Siyal, Markus Haltmeier, Ruth Steiger, Malik Galijasevic, Elke Ruth Gizewski, Astrid Ellen Grams
2025	—	`conf`	Data-proximal Neural Networks for Limited-view CT. Bildverarbeitung für die Medizin Simon Göppel, Jürgen Frikel, Markus Haltmeier
2025	—	`conf`	Disagreement-Driven Uncertainty Quantification in Late Gadolinium Enhancement Cardiac MRI. UNSURE@MICCAI Matthias Schwab, Markus Haltmeier, Agnes Mayr
2025	J	`jnl`	Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters. SIAM J. Imaging Sci. Andrea Ebner, Matthias Schwab, Markus Haltmeier
2025	J	`jnl`	Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images. Medical Image Anal. Matthias Schwab, Mathias Pamminger, Christian Kremser, Daniel Obmann, Markus Haltmeier, Agnes Mayr
2025	J	`jnl`	Inversion formulas for the attenuated conical Radon transform: Plane and cylinder case. Appl. Math. Comput. Sunghwan Moon, Markus Haltmeier
2025	J	`jnl`	Learning Regularization Functionals for Inverse Problems: A Comparative Study. CoRR Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025	J	`jnl`	Locally-Supervised Global Image Restoration. CoRR Benjamin Walder, Daniel Toader, Robert Nuster, Günther Paltauf, Peter Burgholzer, Gregor Langer, Lukas Krainer, Markus Haltmeier
2025	J	`jnl`	Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise. IEEE Access Nadja Gruber, Johannes Schwab, Markus Haltmeier, Ander Biguri, Clemens Dlaska, Gyeongha Hwang
2025	J	`jnl`	Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise. CoRR Nadja Gruber, Johannes Schwab, Markus Haltmeier, Ander Biguri, Clemens Dlaska, Gyeongha Hwang
2025	J	`jnl`	Robust Rigid and Non-Rigid Medical Image Registration Using Learnable Edge Kernels. CoRR Ahsan Raza Siyal, Markus Haltmeier, Ruth Steiger, Malik Galijasevic, Elke Ruth Gizewski, Astrid Ellen Grams
2025	J	`jnl`	Uncertainty-Guided Active Learning for Access Route Segmentation and Planning in Transcatheter Aortic Valve Implantation. J. Imaging Mahdi Islam, Musarrat Tabassum, Agnes Mayr, Christian Kremser, Markus Haltmeier, Enrique Almar-Munoz
2024	J	`jnl`	A Lightweight Residual Network for Unsupervised Deformable Image Registration. IEEE Access Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier
2024	J	`jnl`	A lightweight residual network for unsupervised deformable image registration. CoRR Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier
2024	—	`conf`	Beyond the Standards: Fully-Automated Aortic Annulus Segmentation on Contrast-Free Magnetic Resonance Imaging Using a Computational Aorta Unwrapping Method. CMRxRecon/MBAS/STACOM@MICCAI Enrique Almar-Munoz, Mathias Pamminger, Christian Kremser, Markus Haltmeier, Agnes Mayr
2024	J	`jnl`	Convergence rates for critical point regularization. Appl. Math. Comput. Daniel Obmann, Markus Haltmeier
2024	—	`conf`	Deep Gaussian Mixture Model for Unsupervised Image Segmentation. LOD (2) Matthias Schwab, Agnes Mayr, Markus Haltmeier
2024	J	`jnl`	Deep Gaussian mixture model for unsupervised image segmentation. CoRR Matthias Schwab, Agnes Mayr, Markus Haltmeier
2024	J	`jnl`	Derivative-Free Iterative One-Step Reconstruction for Multispectral CT. J. Imaging Thomas Prohaszka, Lukas Neumann, Markus Haltmeier
2024	J	`jnl`	Derivative-Free iterative One-Step Reconstruction for Multispectral CT. CoRR Thomas Prohaszka, Lukas Neumann, Markus Haltmeier
2024	J	`jnl`	Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System. CoRR Markus Haltmeier, Matthias Ye, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer
2024	J	`jnl`	ECALL: Expectation-calibrated learning for unsupervised blind deconvolution. CoRR Markus Haltmeier, Gyeongha Hwang
2024	—	`conf`	ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line Structures. LOD (2) Hubert Bottesch, Christoph Angermann, Christian Laubichler, Constantin Kiesling, Markus Haltmeier
2024	J	`jnl`	Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization. CoRR Andrea Ebner, Matthias Schwab, Markus Haltmeier
2024	J	`jnl`	Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion. CoRR Ngoc Do, Markus Haltmeier, Richard Kowar, Linh V. Nguyen, Robert Nuster
2024	J	`jnl`	Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging. J. Comput. Appl. Math. Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
2024	—	`conf`	Multi-loss 3D Segmentation for Enhanced Bi-atrial Segmentation. CMRxRecon/MBAS/STACOM@MICCAI Enrique Almar-Munoz, Markus Tiefenthaler, Nohemí Sofia León Contreras, Adria Aguilar-Minguez, Christian Kremser, Markus Haltmeier, Agnes Mayr
2024	J	`jnl`	Plug-and-Play Image Reconstruction Is a Convergent Regularization Method. IEEE Trans. Image Process. Andrea Ebner, Markus Haltmeier
2024	—	`conf`	SIRU-Net : Smoothing Inception Residual U-Net for Deformable Medical Image Registration. BIBM Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier
2024	—	`conf`	SIRU-Net : Smoothing Inception Residual U-Net for Deformable Medical Image Registration. EMBC Ahsan Raza Siyal, Astrid Ellen Grams, Markus Haltmeier
2024	J	`jnl`	Three-Dimensional Bone-Image Synthesis with Generative Adversarial Networks. J. Imaging Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Gerald Degenhart, Markus Haltmeier
2023	J	`jnl`	A complementary 𝓁 CoRR Simon Göppel, Jürgen Frikel, Markus Haltmeier
2023	J	`jnl`	Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity. CoRR Peter Burgholzer, Johannes Bauer-Marschallinger, Mike Hettich, Markus Haltmeier
2023	J	`jnl`	Convergence analysis of equilibrium methods for inverse problems. CoRR Daniel Obmann, Markus Haltmeier
2023	J	`jnl`	Convergence of non-linear diagonal frame filtering for regularizing inverse problems. CoRR Andrea Ebner, Markus Haltmeier
2023	J	`jnl`	Convergence rates for critical point regularization. CoRR Daniel Obmann, Markus Haltmeier
2023	J	`jnl`	Correction: Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
2023	J	`jnl`	Data-driven Morozov regularization of inverse problems. CoRR Markus Haltmeier, Richard Kowar, Markus Tiefenthaler
2023	J	`jnl`	Data-proximal null-space networks for inverse problems. CoRR Simon Göppel, Jürgen Frikel, Markus Haltmeier
2023	J	`jnl`	Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images. CoRR Matthias Schwab, Mathias Pamminger, Christian Kremser, Daniel Obmann, Markus Haltmeier, Agnes Mayr
2023	J	`jnl`	Heat diffusion blurs photothermal images with increasing depth. CoRR Peter Burgholzer, Günther Mayr, Gregor Thummerer, Markus Haltmeier
2023	J	`jnl`	Relaxed data-consistency for limited bandwidth photoacoustic tomography. CoRR Daniel Obmann, Markus Haltmeier
2023	J	`jnl`	Sampling and resolution in sparse view photoacoustic tomography. CoRR Markus Haltmeier, Daniel Obmann, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer
2023	J	`jnl`	Single-Image based unsupervised joint segmentation and denoising. CoRR Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier
2023	J	`jnl`	Superiorized Regularization of Inverse Problems. CoRR Aviv Gibali, Markus Haltmeier
2023	J	`jnl`	Surface topography characterization using a simple optical device and artificial neural networks. Eng. Appl. Artif. Intell. Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml
2023	J	`jnl`	Three-dimensional Bone Image Synthesis with Generative Adversarial Networks. CoRR Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Markus Haltmeier, Gerald Degenhart
2023	J	`jnl`	Translation invariant diagonal frame decomposition for the Radon transform. CoRR Simon Göppel, Jürgen Frikel, Markus Haltmeier
2023	J	`jnl`	Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction. CoRR Christoph Angermann, Simon Göppel, Markus Haltmeier
2023	J	`jnl`	Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
2023	J	`jnl`	Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs. CoRR Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
2022	J	`jnl`	A Joint Variational Multichannel Multiphase Segmentation Framework. CoRR Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
2022	J	`jnl`	A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates. Artif. Intell. Medicine Nadja Gruber, Malik Galijasevic, Milovan Regodic, Astrid Ellen Grams, Christian M. Siedentopf, Ruth Steiger, Marlene Hammerl, Markus Haltmeier, Elke Ruth Gizewski, Tanja Janjic
2022	J	`jnl`	Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed. SIAM J. Imaging Sci. Linh Nguyen, Markus Haltmeier, Richard Kowar, Ngoc Do
2022	J	`jnl`	Compressed Sensing of Indirect Data. CoRR Andrea Ebner, Markus Haltmeier
2022	J	`jnl`	Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks. CoRR Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022	—	`conf`	Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks. ISBI Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022	—	`conf`	Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. EUSIPCO Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022	J	`jnl`	Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. CoRR Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch
2022	J	`jnl`	Feature reconstruction from incomplete tomographic data without detour. CoRR Simon Göppel, Jürgen Frikel, Markus Haltmeier
2022	J	`jnl`	Plug-and-Play image reconstruction is a convergent regularization method. CoRR Andrea Ebner, Markus Haltmeier
2022	J	`jnl`	Translation invariant diagonal frame decomposition of inverse problems and their regularization. CoRR Simon Göppel, Jürgen Frikel, Markus Haltmeier
2022	—	`conf`	Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks. ECCV Workshops (8) Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
2022	J	`jnl`	Unsupervised Joint Image Transfer and Uncertainty Quantification using Patch Invariant Networks. CoRR Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
2022	J	`jnl`	Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. CoRR Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
2021	J	`jnl`	An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. CoRR Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch
2021	—	`conf`	Combining Reconstruction and Edge Detection in Computed Tomography. Bildverarbeitung für die Medizin Jürgen Frikel, Simon Göppel, Markus Haltmeier
2021	J	`jnl`	Combining reconstruction and edge detection in computed tomography. CoRR Jürgen Frikel, Simon Göppel, Markus Haltmeier
2021	J	`jnl`	Deep structure learning using feature extraction in trained projection space. Comput. Electr. Eng. Christoph Angermann, Markus Haltmeier
2021	J	`jnl`	Discretization of Learned NETT Regularization for Solving Inverse Problems. J. Imaging Stephan Antholzer, Markus Haltmeier
2021	J	`jnl`	Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines. CoRR Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml
2021	J	`jnl`	Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. SIAM J. Imaging Sci. Gerhard Zangerl, Markus Haltmeier
2021	J	`jnl`	Recovering the Initial Data of the Wave Equation from Neumann Traces. SIAM J. Math. Anal. Florian Dreier, Markus Haltmeier
2020	J	`jnl`	A machine learning framework for customer purchase prediction in the non-contractual setting. Eur. J. Oper. Res. Andrés Martínez, Claudia Schmuck, Sergiy Pereverzyev Jr., Clemens Pirker, Markus Haltmeier
2020	J	`jnl`	Big in Japan: Regularizing Networks for Solving Inverse Problems. J. Math. Imaging Vis. Johannes Schwab, Stephan Antholzer, Markus Haltmeier
2020	J	`jnl`	Data-consistent neural networks for solving nonlinear inverse problems. CoRR Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab
2020	J	`jnl`	Deep synthesis regularization of inverse problems. CoRR Daniel Obmann, Johannes Schwab, Markus Haltmeier
2020	J	`jnl`	Discretization of learned NETT regularization for solving inverse problems. CoRR Stephan Antholzer, Markus Haltmeier
2020	J	`jnl`	Explicit Inversion Formulas for the Two-Dimensional Wave Equation from Neumann Traces. SIAM J. Imaging Sci. Florian Dreier, Markus Haltmeier
2020	J	`jnl`	Multi-Scale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography. CoRR Gerhard Zangerl, Markus Haltmeier
2020	J	`jnl`	PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space. CoRR Christoph Angermann, Markus Haltmeier
2020	J	`jnl`	Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. CoRR Andrea Ebner, Jürgen Frikel, Dirk A. Lorenz, Johannes Schwab, Markus Haltmeier
2020	J	`jnl`	Regularization of Inverse Problems by Neural Networks. CoRR Markus Haltmeier, Linh V. Nguyen
2020	J	`jnl`	Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis. CoRR Markus Haltmeier, A. Leitao, Otmar Scherzer
2020	J	`jnl`	Regularization of systems of nonlinear ill-posed equations: II. Applications. CoRR Markus Haltmeier, Richard Kowar, A. Leitao, Otmar Scherzer
2020	—	`conf`	Sparse Anett For Solving Inverse Problems With Deep Learning. ISBI Workshops Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
2020	J	`jnl`	Sparse aNETT for Solving Inverse Problems with Deep Learning. CoRR Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
2020	J	`jnl`	The conical Radon transform with vertices on triple lines. CoRR Markus Haltmeier, Sunghwan Moon
2020	J	`jnl`	Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI. CoRR Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier
2019	J	`jnl`	A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation. CoRR Nadja Gruber, Stephan Antholzer, Werner Jaschke, Christian Kremser, Markus Haltmeier
2019	J	`jnl`	Analysis of the Block Coordinate Descent Method for Linear Ill-Posed Problems. SIAM J. Imaging Sci. Simon Rabanser, Lukas Neumann, Markus Haltmeier
2019	J	`jnl`	Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging. CoRR Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch
2019	J	`jnl`	Operator Learning Approach for the Limited View Problem in Photoacoustic Tomography. Comput. Methods Appl. Math. Florian Dreier, Sergiy Pereverzyev Jr., Markus Haltmeier
2019	J	`jnl`	Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. CoRR Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski
2019	—	`conf`	Random 2.5D U-net for Fully 3D Segmentation. MLMECH/CVII-STENT@MICCAI Christoph Angermann, Markus Haltmeier
2019	J	`jnl`	Random 2.5D U-net for Fully 3D Segmentation. CoRR Christoph Angermann, Markus Haltmeier
2019	J	`jnl`	Reconstruction Algorithms for Photoacoustic Tomography in Heterogeneous Damping Media. J. Math. Imaging Vis. Markus Haltmeier, Linh V. Nguyen
2019	J	`jnl`	Sparse regularization of inverse problems by biorthogonal frame thresholding. CoRR Jürgen Frikel, Markus Haltmeier
2019	J	`jnl`	Sparse 𝓁 CoRR Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab
2018	J	`jnl`	A Galerkin Least Squares Approach for Photoacoustic Tomography. SIAM J. Numer. Anal. Johannes Schwab, Sergiy Pereverzyev Jr., Markus Haltmeier
2018	—	`conf`	A U-Nets Cascade for Sparse View Computed Tomography. MLMIR@MICCAI Andreas Kofler, Markus Haltmeier, Christoph Kolbitsch, Marc Kachelrieß, Marc Dewey
2018	J	`jnl`	Analysis of the Linearized Problem of Quantitative Photoacoustic Tomography. SIAM J. Appl. Math. Markus Haltmeier, Lukas Neumann, Linh V. Nguyen, Simon Rabanser
2018	J	`jnl`	Image Based Fashion Product Recommendation with Deep Learning. CoRR Hessel Tuinhof, Clemens Pirker, Markus Haltmeier
2018	—	`conf`	Image-Based Fashion Product Recommendation with Deep Learning. LOD Hessel Tuinhof, Clemens Pirker, Markus Haltmeier
2018	J	`jnl`	NETT: Solving Inverse Problems with Deep Neural Networks. CoRR Housen Li, Johannes Schwab, Stephan Antholzer, Markus Haltmeier
2018	J	`jnl`	Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography. Entropy Simon Rabanser, Lukas Neumann, Markus Haltmeier
2018	J	`jnl`	The Averaged Kaczmarz Iteration for Solving Inverse Problems. SIAM J. Imaging Sci. Housen Li, Markus Haltmeier
2017	J	`jnl`	A Framework for Compressive Time-of-Flight 3D Sensing. CoRR Stephan Antholzer, Christoph Wolf, Michael Sandbichler, Markus Dielacher, Markus Haltmeier
2017	J	`jnl`	Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed. SIAM J. Imaging Sci. Markus Haltmeier, Linh V. Nguyen
2017	J	`jnl`	Analytic Inversion of a Conical Radon Transform Arising in Application of Compton Cameras on the Cylinder. SIAM J. Imaging Sci. Sunghwan Moon, Markus Haltmeier
2017	J	`jnl`	Deep Learning for Photoacoustic Tomography from Sparse Data. CoRR Stephan Antholzer, Markus Haltmeier, Johannes Schwab
2017	J	`jnl`	Inversion of the Attenuated V-Line Transform With Vertices on the Circle. IEEE Trans. Computational Imaging Markus Haltmeier, Sunghwan Moon, Daniela Schiefeneder
2017	J	`jnl`	The Radon Transform over Cones with Vertices on the Sphere and Orthogonal Axes. SIAM J. Appl. Math. Daniela Schiefeneder, Markus Haltmeier
2016	J	`jnl`	Sampling Conditions for the Circular Radon Transform. IEEE Trans. Image Process. Markus Haltmeier
2015	J	`jnl`	A Novel Compressed Sensing Scheme for Photoacoustic Tomography. CoRR Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
2015	J	`jnl`	A Novel Compressed Sensing Scheme for Photoacoustic Tomography. SIAM J. Appl. Math. Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
2015	J	`jnl`	Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains. SIAM J. Imaging Sci. Markus Haltmeier, Sergiy Pereverzyev Jr.
2014	J	`jnl`	Universal Inversion Formulas for Recovering a Function from Spherical Means. SIAM J. Math. Anal. Markus Haltmeier
2013	Misc	`conf`	Block-sparse analysis regularization of ill-posed problems via l MMAR Markus Haltmeier
2013	J	`jnl`	Inversion of circular means and the wave equation on convex planar domains. Comput. Math. Appl. Markus Haltmeier
2013	J	`jnl`	Stable Signal Reconstruction via IEEE Trans. Signal Process. Markus Haltmeier
2011	J	`jnl`	A Mollification Approach for Inverting the Spherical Mean Radon Transform. SIAM J. Appl. Math. Markus Haltmeier
2011	J	`jnl`	Inversion Formulas for a Cylindrical Radon Transform. SIAM J. Imaging Sci. Markus Haltmeier
2011	J	`jnl`	The residual method for regularizing ill-posed problems. Appl. Math. Comput. Markus Grasmair, Markus Haltmeier, Otmar Scherzer
2009	J	`jnl`	A Reconstruction Algorithm for Photoacoustic Imaging Based on the Nonuniform FFT. IEEE Trans. Medical Imaging Markus Haltmeier, Otmar Scherzer, Gerhard Zangerl
2009	—	`book`	Variational Methods in Imaging. Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier, Frank Lenzen
2008	J	`jnl`	On Steepest-Descent-Kaczmarz methods for regularizing systems of nonlinear ill-posed equations. Appl. Math. Comput. A. De Cezaro, Markus Haltmeier, Antonio Leitão, Otmar Scherzer
2007	J	`jnl`	Inversion of Spherical Means and the Wave Equation in Even Dimensions. SIAM J. Appl. Math. Markus Haltmeier, David Finch, Rakesh