default author photo

Markus Haltmeier

University of Innsbruck

Innsbruck

Austria

SCHOLARLY PAPERS

4

DOWNLOADS

177

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Ecall: Expectation-Calibrated Learning for Unsupervised Blind Deconvolution

Number of pages: 21 Posted: 29 Oct 2024
Markus Haltmeier and Gyeongha Hwang
University of Innsbruck and Yeungnam University
Downloads 86 (771,553)

Abstract:

Loading...

Inverse problems, unsupervised learning, unknown forward operator, blind deconvolution.

2.

Feature Selection for Classifying Disability in Multiple Sclerosis Using Mr Planimetric and Volumetric Measurements

Number of pages: 12 Posted: 31 Mar 2025
Medical University of Innsbruck, affiliation not provided to SSRN, Austrian Academy of Sciences - Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences - Johann Radon Institute for Computational and Applied Mathematics, University of Innsbruck, affiliation not provided to SSRN, Medical University of Vienna, Medical University of Vienna - Department of Neurology, Medical University of Graz, affiliation not provided to SSRN, affiliation not provided to SSRN and Medical University of Innsbruck
Downloads 67 (907,769)

Abstract:

Loading...

Magnetic resonance imaging, multiple sclerosis, Volumetry, Planimetry

3.

Self2seg: Single-Image Self-Supervised Joint Segmentation and Denoising

Number of pages: 36 Posted: 27 Mar 2025
affiliation not provided to SSRN, University of Innsbruck, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 24 (1,424,331)

Abstract:

Loading...

Image segmentation, denoising, self-supervision, deep learning, iterative minimization, spatial adaptation

4.

A Variational View on Statistical Multiscale Estimation

Annual Review of Statistics and Its Application, Vol. 9, Issue 1, pp. 343-372, 2022
Posted: 24 Mar 2022
Markus Haltmeier, Housen Li and Axel Munk
University of Innsbruck, University of Göttingen and Georg-August-Universitaet. Institut fuer Mathematische Stochastik

Abstract:

Loading...