Markus Grasmair

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 12

Top Topics

Shape Registration

Cervical Cancer

Source Separation

Top Venues

SIAM J. Imaging Sci.

Publications

Martin Ludvigsen, Markus Grasmair
Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation. CoRR (2024)
Pankaj Gautam, Markus Grasmair
Parameter identification in PDEs by the solution of monotone inclusion problems. CoRR (2024)
Martin Ludvigsen, Markus Grasmair
Adversarial Generative NMF for Single Channel Source Separation. CoRR (2023)
Geir Severin R. E. Langberg, Mikal Stapnes, Jan F. Nygård, Mari Nygård, Markus Grasmair, Valeriya Naumova
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. BMC Bioinform. (12) (2022)
Markus Grasmair
A square root velocity framework for curves of bounded variation. CoRR (2022)
Esten Nicolai Wøien, Markus Grasmair
A PDE-Based Method for Shape Registration. SIAM J. Imaging Sci. 15 (2) (2022)
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP (2021)
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC (2021)
Esten Nicolai Wøien, Markus Grasmair
A PDE-based Method for Shape Registration. CoRR (2021)
Markus Grasmair, Fredrik Hildrum
Subgradient-based Lavrentiev regularisation of monotone ill-posed problems. CoRR (2020)
Markus Grasmair
Source Conditions for non-quadratic Tikhonov Regularisation. CoRR (2020)
Markus Grasmair, Timo Klock, Valeriya Naumova
Adaptive multi-penalty regularization based on a generalized Lasso path. CoRR (2017)
Martin Bauer, Markus Eslitzbichler, Markus Grasmair
Landmark-Guided Elastic Shape Analysis of Human Character Motions. CoRR (2015)
Martin Bauer, Markus Grasmair, Clemens Kirisits
Optical Flow on Moving Manifolds. SIAM J. Imaging Sci. 8 (1) (2015)
Guozhi Dong, Markus Grasmair, Sung Ha Kang, Otmar Scherzer
Scale and Edge Detection with Topological Derivatives. SSVM (2013)
Thomas Fidler, Markus Grasmair, Otmar Scherzer
Shape Reconstruction with A Priori Knowledge Based on Integral Invariants. SIAM J. Imaging Sci. 5 (2) (2012)
Markus Grasmair, Markus Haltmeier, Otmar Scherzer
The residual method for regularizing ill-posed problems. Appl. Math. Comput. 218 (6) (2011)
Markus Grasmair
Locally Adaptive Total Variation Regularization. SSVM (2009)
Markus Grasmair
The Equivalence of the Taut String Algorithm and BV-Regularization. J. Math. Imaging Vis. 27 (1) (2007)
Markus Grasmair, Frank Lenzen, Andreas Obereder, Otmar Scherzer, Matthias Fuchs
A Non-convex PDE Scale Space. Scale-Space (2005)