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Markus Haltmeier

Markus Haltmeier

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
7440
World Ranking
7611
National Ranking
27

Overview

Markus Haltmeier is affiliated with the University of Innsbruck in Austria and has a broad research portfolio focusing on the fields of Engineering, Medicine, and Computer Science. Their work spans several specialized subfields, including Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Mathematical Physics, and Computational Mechanics.

The scientific output of Markus Haltmeier includes significant contributions to the topic areas of Photoacoustic and Ultrasonic Imaging, Numerical methods in inverse problems, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Sparse and Compressive Sensing Techniques, Thermography and Photoacoustic Techniques, and Advanced MRI Techniques and Applications.

Notable recent publications by Markus Haltmeier include:

  • "Phospholipid Acyl Chain Diversity Controls the Tissue-Specific Assembly of Mitochondrial Cardiolipins", 2020, Cell Reports
  • "Neural networks-based regularization for large-scale medical image reconstruction", 2020, Physics in Medicine and Biology
  • "Photoacoustic reconstruction from photothermal measurements including prior information", 2020, Photoacoustics
  • "Regularization of inverse problems by filtered diagonal frame decomposition", 2022, Applied and Computational Harmonic Analysis
  • "Breaking the resolution limit in photoacoustic imaging using non-negativity and sparsity", 2020, Photoacoustics

Frequent collaborators in the research efforts of Markus Haltmeier include Johannes Schwab, Jürgen Frikel, Christoph Angermann, Daniel Obmann, and Simon Göppel. This network of co-authors is reflected in a diverse range of publications and joint research projects.

The venues where Markus Haltmeier most often publishes are diverse, indicating a multidimensional approach to research dissemination. These include:

  • arXiv (Cornell University)
  • Inverse Problems
  • SIAM Journal on Imaging Sciences
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Journal of Imaging

Best Publications

  • Variational Methods in Imaging

    Otmar Scherzer;Markus Grasmair;Harald Grossauer;Markus Haltmeier

  • Inversion of Spherical Means and the Wave Equation in Even Dimensions

    David Finch;Markus Haltmeier;Rakesh

  • Deep learning for photoacoustic tomography from sparse data.

    Stephan Antholzer;Markus Haltmeier;Johannes Schwab

  • Exact and approximative imaging methods for photoacoustic tomography using an arbitrary detection surface.

    Peter Burgholzer;Gebhard J. Matt;Markus Haltmeier;Günther Paltauf

  • Photoacoustic tomography using a Mach-Zehnder interferometer as an acoustic line detector.

    Guenther Paltauf;Robert Nuster;Markus Haltmeier;Peter Burgholzer

  • A machine learning framework for customer purchase prediction in the non-contractual setting

    Andrés Martínez;Claudia Schmuck;Sergiy Pereverzyev;Clemens Pirker

  • Sparse Regularization with l q Penalty Term

    Markus Grasmair;Markus Haltmeier;Otmar Scherzer

  • NETT: solving inverse problems with deep neural networks

    Housen Li;Johannes Schwab;Stephan Antholzer;Markus Haltmeier

  • Thermoacoustic tomography with integrating area and line detectors

    P. Burgholzer;C. Hofer;G. Paltauf;M. Haltmeier

  • Temporal back-projection algorithms for photoacoustic tomography with integrating line detectors

    P Burgholzer;J Bauer-Marschallinger;H Grün;M Haltmeier

  • Experimental evaluation of reconstruction algorithms for limited view photoacoustic tomography with line detectors

    G Paltauf;R Nuster;M Haltmeier;P Burgholzer

  • Thermoacoustic computed tomography with large planar receivers

    M Haltmeier;O Scherzer;P Burgholzer;G Paltauf

  • Filtered backprojection for thermoacoustic computed tomography in spherical geometry

    Markus Haltmeier;Thomas Schuster;Otmar Scherzer

  • Necessary and sufficient conditions for linear convergence of ℓ1-regularization

    M. Grasmaier;M. Haltmeier;O. Scherzer

  • Deep null space learning for inverse problems: convergence analysis and rates

    Johannes Schwab;Stephan Antholzer;Markus Haltmeier

  • Pipe failure modelling for water distribution networks using boosted decision trees

    Daniel Winkler;Markus Haltmeier;Manfred Kleidorfer;Wolfgang Rauch

  • KACZMARZ METHODS FOR REGULARIZING NONLINEAR ILL-POSED EQUATIONS I: CONVERGENCE ANALYSIS

    Markus Haltmeier;Antonio Leit;Otmar Scherzer

  • Universal Inversion Formulas for Recovering a Function from Spherical Means

    Markus Haltmeier

  • THERMOACOUSTIC TOMOGRAPHY AND THE CIRCULAR RADON TRANSFORM: EXACT INVERSION FORMULA

    Markus Haltmeier;Otmar Scherzer;Peter Burgholzer;Robert Nuster

  • Phospholipid Acyl Chain Diversity Controls the Tissue-Specific Assembly of Mitochondrial Cardiolipins.

    Gregor Oemer;Jakob Koch;Yvonne Wohlfarter;Mohammad T. Alam

Frequent Co-Authors

Otmar Scherzer
Otmar Scherzer University of Vienna
Axel Munk
Axel Munk University of Göttingen
Dianne P. O'Leary
Dianne P. O'Leary University of Maryland, College Park
Elke R. Gizewski
Elke R. Gizewski Innsbruck Medical University
Kevin A. Pimbblet
Kevin A. Pimbblet University of Hull
Simon P. Driver
Simon P. Driver University of Western Australia
Jochen Liske
Jochen Liske Universität Hamburg
Andrew M. Hopkins
Andrew M. Hopkins Macquarie University
Stefan W. Hell
Stefan W. Hell Max Planck Society
Philip Tinnefeld
Philip Tinnefeld Ludwig-Maximilians-Universität München

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