Markus Grasmair

Orcid: 0000-0002-6116-5584

Affiliations:
  • University of Vienna, Austria


According to our database1, Markus Grasmair authored at least 20 papers between 2005 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation.
CoRR, 2024

Parameter identification in PDEs by the solution of monotone inclusion problems.
CoRR, 2024

2023
Adversarial Generative NMF for Single Channel Source Separation.
CoRR, 2023

2022
A PDE-Based Method for Shape Registration.
SIAM J. Imaging Sci., 2022

A square root velocity framework for curves of bounded variation.
CoRR, 2022

Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results.
BMC Bioinform., 2022

2021
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Subgradient-based Lavrentiev regularisation of monotone ill-posed problems.
CoRR, 2020

Source Conditions for non-quadratic Tikhonov Regularisation.
CoRR, 2020

2017
Adaptive multi-penalty regularization based on a generalized Lasso path.
CoRR, 2017

2015
Optical Flow on Moving Manifolds.
SIAM J. Imaging Sci., 2015

Landmark-Guided Elastic Shape Analysis of Human Character Motions.
CoRR, 2015

2013
Scale and Edge Detection with Topological Derivatives.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012
Shape Reconstruction with A Priori Knowledge Based on Integral Invariants.
SIAM J. Imaging Sci., 2012

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

2009
Locally Adaptive Total Variation Regularization.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Variational Methods in Imaging.
Applied mathematical sciences 167, Springer, ISBN: 978-0-387-30931-6, 2009

2007
The Equivalence of the Taut String Algorithm and BV-Regularization.
J. Math. Imaging Vis., 2007

2005
A Non-convex PDE Scale Space.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005


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