Markus Haltmeier

Orcid: 0000-0001-5715-0331

According to our database1, Markus Haltmeier authored at least 95 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Derivative-Free Iterative One-Step Reconstruction for Multispectral CT.
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

Plug-and-Play Image Reconstruction Is a Convergent Regularization Method.
IEEE Trans. Image Process., 2024

Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization.
CoRR, 2024

A lightweight residual network for unsupervised deformable image registration.
CoRR, 2024

Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion.
CoRR, 2024

Deep Gaussian mixture model for unsupervised image segmentation.
CoRR, 2024

Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System.
CoRR, 2024

ECALL: Expectation-calibrated learning for unsupervised blind deconvolution.
CoRR, 2024

Convergence rates for critical point regularization.
Appl. Math. Comput., 2024

2023
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction.
Mach. Vis. Appl., November, 2023

Unsupervised single-shot depth estimation using perceptual reconstruction.
Mach. Vis. Appl., September, 2023

Surface topography characterization using a simple optical device and artificial neural networks.
Eng. Appl. Artif. Intell., 2023

Three-dimensional Bone Image Synthesis with Generative Adversarial Networks.
CoRR, 2023

Data-driven Morozov regularization of inverse problems.
CoRR, 2023

Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity.
CoRR, 2023

Heat diffusion blurs photothermal images with increasing depth.
CoRR, 2023

Sampling and resolution in sparse view photoacoustic tomography.
CoRR, 2023

Relaxed data-consistency for limited bandwidth photoacoustic tomography.
CoRR, 2023

Superiorized Regularization of Inverse Problems.
CoRR, 2023

Single-Image based unsupervised joint segmentation and denoising.
CoRR, 2023

Data-proximal null-space networks for inverse problems.
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

Convergence analysis of equilibrium methods for inverse problems.
CoRR, 2023

Translation invariant diagonal frame decomposition for the Radon transform.
CoRR, 2023

A complementary 𝓁<sup>1</sup>-TV reconstruction algorithm for limited data CT.
CoRR, 2023

Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction.
CoRR, 2023

Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs.
CoRR, 2023

2022
Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed.
SIAM J. Imaging Sci., September, 2022

Translation invariant diagonal frame decomposition of inverse problems and their regularization.
CoRR, 2022

Feature reconstruction from incomplete tomographic data without detour.
CoRR, 2022

A Joint Variational Multichannel Multiphase Segmentation Framework.
CoRR, 2022

Compressed Sensing of Indirect Data.
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
Recovering the Initial Data of the Wave Equation from Neumann Traces.
SIAM J. Math. Anal., 2021

Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography.
SIAM J. Imaging Sci., 2021

Discretization of Learned NETT Regularization for Solving Inverse Problems.
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

Deep structure learning using feature extraction in trained projection space.
Comput. Electr. Eng., 2021

Combining Reconstruction and Edge Detection in Computed Tomography.
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

Big in Japan: Regularizing Networks for Solving Inverse Problems.
J. Math. Imaging Vis., 2020

A machine learning framework for customer purchase prediction in the non-contractual setting.
Eur. J. Oper. Res., 2020

Regularization of systems of nonlinear ill-posed equations: II. Applications.
CoRR, 2020

Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis.
CoRR, 2020

PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space.
CoRR, 2020

Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition.
CoRR, 2020

Multi-Scale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography.
CoRR, 2020

Regularization of Inverse Problems by Neural Networks.
CoRR, 2020

Data-consistent neural networks for solving nonlinear inverse problems.
CoRR, 2020

The conical Radon transform with vertices on triple lines.
CoRR, 2020

Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI.
CoRR, 2020

Deep synthesis regularization of inverse problems.
CoRR, 2020

Sparse Anett For Solving Inverse Problems With Deep Learning.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019
Analysis of the Block Coordinate Descent Method for Linear Ill-Posed Problems.
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

Sparse regularization of inverse problems by biorthogonal frame thresholding.
CoRR, 2019

Sparse 𝓁<sup>q</sup>-regularization of inverse problems with deep learning.
CoRR, 2019

A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation.
CoRR, 2019

Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation.
CoRR, 2019

Operator Learning Approach for the Limited View Problem in Photoacoustic Tomography.
Comput. Methods Appl. Math., 2019

Random 2.5D U-net for Fully 3D Segmentation.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

2018
A Galerkin Least Squares Approach for Photoacoustic Tomography.
SIAM J. Numer. Anal., 2018

The Averaged Kaczmarz Iteration for Solving Inverse Problems.
SIAM J. Imaging Sci., 2018

Analysis of the Linearized Problem of Quantitative Photoacoustic Tomography.
SIAM J. Appl. Math., 2018

Stochastic Proximal Gradient Algorithms for Multi-Source Quantitative Photoacoustic Tomography.
Entropy, 2018

NETT: Solving Inverse Problems with Deep Neural Networks.
CoRR, 2018

Image-Based Fashion Product Recommendation with Deep Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

A U-Nets Cascade for Sparse View Computed Tomography.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

2017
Inversion of the Attenuated V-Line Transform With Vertices on the Circle.
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

Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed.
SIAM J. Imaging Sci., 2017

The Radon Transform over Cones with Vertices on the Sphere and Orthogonal Axes.
SIAM J. Appl. Math., 2017

A Framework for Compressive Time-of-Flight 3D Sensing.
CoRR, 2017

Deep Learning for Photoacoustic Tomography from Sparse Data.
CoRR, 2017

2016
Sampling Conditions for the Circular Radon Transform.
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

A Novel Compressed Sensing Scheme for Photoacoustic Tomography.
SIAM J. Appl. Math., 2015

2014
Universal Inversion Formulas for Recovering a Function from Spherical Means.
SIAM J. Math. Anal., 2014

2013
Stable Signal Reconstruction via <sup>1</sup> -Minimization in Redundant, Non-Tight Frames.
IEEE Trans. Signal Process., 2013

Inversion of circular means and the wave equation on convex planar domains.
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
Inversion Formulas for a Cylindrical Radon Transform.
SIAM J. Imaging Sci., 2011

A Mollification Approach for Inverting the Spherical Mean Radon Transform.
SIAM J. Appl. Math., 2011

The residual method for regularizing ill-posed problems.
Appl. Math. Comput., 2011

2009
A Reconstruction Algorithm for Photoacoustic Imaging Based on the Nonuniform FFT.
IEEE Trans. Medical Imaging, 2009

Variational Methods in Imaging.
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
Inversion of Spherical Means and the Wave Equation in Even Dimensions.
SIAM J. Appl. Math., 2007


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