Markus Haltmeier

Markus Haltmeier

Universität Innsbruck

H-index: 41

Europe-Austria

About Markus Haltmeier

Markus Haltmeier, With an exceptional h-index of 41 and a recent h-index of 30 (since 2020), a distinguished researcher at Universität Innsbruck, specializes in the field of Inverse Problems, Computed Tomography, Signal and Image Processing, Applied Mathematics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

ECALL: Expectation-calibrated learning for unsupervised blind deconvolution

Sparse2Inverse: Self-supervised inversion of sparse-view CT data

Design, implementation, and analysis of a compressed sensing photoacoustic projection imaging system

Derivative-Free iterative One-Step Reconstruction for Multispectral CT

Convergence rates for critical point regularization

Computational Aorta Unfolding for Precise Planning of Transcatheter Aortic Valve Implantation on contrast-free Magnetic Resonance Imaging.

Deep Gaussian mixture model for unsupervised image segmentation

Plug-and-play image reconstruction is a convergent regularization method

Markus Haltmeier Information

University

Position

Professor of Mathematics

Citations(all)

6985

Citations(since 2020)

3502

Cited By

5090

hIndex(all)

41

hIndex(since 2020)

30

i10Index(all)

102

i10Index(since 2020)

79

Email

University Profile Page

Universität Innsbruck

Google Scholar

View Google Scholar Profile

Markus Haltmeier Skills & Research Interests

Inverse Problems

Computed Tomography

Signal and Image Processing

Applied Mathematics

Machine Learning

Top articles of Markus Haltmeier

Title

Journal

Author(s)

Publication Date

ECALL: Expectation-calibrated learning for unsupervised blind deconvolution

arXiv preprint arXiv:2402.00670

Markus Haltmeier

Gyeongha Hwang

2024/2/1

Sparse2Inverse: Self-supervised inversion of sparse-view CT data

arXiv preprint arXiv:2402.16921

Nadja Gruber

Johannes Schwab

Elke Gizewski

Markus Haltmeier

2024/2/26

Design, implementation, and analysis of a compressed sensing photoacoustic projection imaging system

Journal of Biomedical Optics

Markus Haltmeier

Matthias Ye

Karoline Felbermayer

Florian Hinterleitner

Peter Burgholzer

2024/1/15

Derivative-Free iterative One-Step Reconstruction for Multispectral CT

arXiv preprint arXiv:2402.12250

Thomas Prohaszka

Lukas Neumann

Markus Haltmeier

2024/2/19

Convergence rates for critical point regularization

Applied Mathematics and Computation

Daniel Obmann

Markus Haltmeier

2024/6/15

Computational Aorta Unfolding for Precise Planning of Transcatheter Aortic Valve Implantation on contrast-free Magnetic Resonance Imaging.

Enrique Almar-Munoz

Mathias Pamminger

Christian Kremser

Markus Haltmeier

Agnes Mayr

2024/2/13

Deep Gaussian mixture model for unsupervised image segmentation

arXiv preprint arXiv:2404.12252

Matthias Schwab

Agnes Mayr

Markus Haltmeier

2024/4/18

Plug-and-play image reconstruction is a convergent regularization method

IEEE Transactions on Image Processing

Andrea Ebner

Markus Haltmeier

2024/2/13

Convergence of non-linear diagonal frame filtering for regularizing inverse problems

Inverse Problems

Andrea Ebner

Markus Haltmeier

2024/3/26

Self Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net

arXiv preprint arXiv:2402.06550

Moritz Blumenthal

Chiara Fantinato

Christina Unterberg-Buchwald

Markus Haltmeier

Xiaoqing Wang

...

2024/2/9

Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging

Journal of Computational and Applied Mathematics

Nadja Gruber

Johannes Schwab

Sébastien Court

Elke R Gizewski

Markus Haltmeier

2024/3/15

Data-proximal null-space networks for inverse problems

arXiv preprint arXiv:2309.06573

Simon Göppel

Jürgen Frikel

Markus Haltmeier

2023/9/12

Regularization of Inverse Problems with Translation Invariant Frames

Proceedings of the 20th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM-2022), 2022, Heraklion (Crete, Greece)

Simon Göppel

Jürgen Frikel

Markus Haltmeier

2023

A complementary -TV reconstruction algorithm for limited data CT

arXiv preprint arXiv:2304.11599

Simon Göppel

Jürgen Frikel

Markus Haltmeier

2023/4/23

Unsupervised single-shot depth estimation using perceptual reconstruction

Machine Vision and Applications

Christoph Angermann

Matthias Schwab

Markus Haltmeier

Christian Laubichler

Steinbjörn Jónsson

2023/9

Convergence rates for the joint solution of inverse problems with compressed sensing data

Inverse Problems

Andrea Ebner

Markus Haltmeier

2023/1

Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction

arXiv preprint arXiv:2304.06955

Christoph Angermann

Simon Göppel

Markus Haltmeier

2023/4/14

Translation invariant diagonal frame decomposition for the Radon transform

Simon Göppel

Markus Haltmeier

Jürgen Frikel

2023/7/10

Three-dimensional Bone Image Synthesis with Generative Adversarial Networks

arXiv preprint arXiv:2310.17216

Christoph Angermann

Johannes Bereiter-Payr

Kerstin Stock

Markus Haltmeier

Gerald Degenhart

2023/10/26

Regularization of inverse problems by filtered diagonal frame decomposition

Applied and Computational Harmonic Analysis

Andrea Ebner

Jürgen Frikel

Dirk Lorenz

Johannes Schwab

Markus Haltmeier

2023/1/1

See List of Professors in Markus Haltmeier University(Universität Innsbruck)

Co-Authors

H-index: 44
Axel Munk

Axel Munk

Georg-August-Universität Göttingen

H-index: 39
Günther Paltauf

Günther Paltauf

Karl-Franzens-Universität Graz

H-index: 25
Robert Nuster

Robert Nuster

Karl-Franzens-Universität Graz

H-index: 17
Markus Grasmair

Markus Grasmair

Norges teknisk-naturvitenskaplige universitet

H-index: 13
Housen Li

Housen Li

Georg-August-Universität Göttingen

H-index: 13
Johannes Schwab

Johannes Schwab

University of Cambridge

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