Markus Grasmair

22 papers Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Parameter identification in PDEs by the solution of monotone inclusion problems. Numerische Mathematik Pankaj Gautam, Markus Grasmair
2024	J	`jnl`	Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation. CoRR Martin Ludvigsen, Markus Grasmair
2024	J	`jnl`	Parameter identification in PDEs by the solution of monotone inclusion problems. CoRR Pankaj Gautam, Markus Grasmair
2023	J	`jnl`	Adversarial Generative NMF for Single Channel Source Separation. CoRR Martin Ludvigsen, Markus Grasmair
2022	J	`jnl`	A PDE-Based Method for Shape Registration. SIAM J. Imaging Sci. Esten Nicolai Wøien, Markus Grasmair
2022	J	`jnl`	A square root velocity framework for curves of bounded variation. CoRR Markus Grasmair
2022	J	`jnl`	Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. BMC Bioinform. Geir Severin R. E. Langberg, Mikal Stapnes, Jan F. Nygård, Mari Nygård, Markus Grasmair, Valeriya Naumova
2021	J	`jnl`	A PDE-based Method for Shape Registration. CoRR Esten Nicolai Wøien, Markus Grasmair
2021	—	`conf`	Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
2021	—	`conf`	Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
2020	J	`jnl`	Source Conditions for non-quadratic Tikhonov Regularisation. CoRR Markus Grasmair
2020	J	`jnl`	Subgradient-based Lavrentiev regularisation of monotone ill-posed problems. CoRR Markus Grasmair, Fredrik Hildrum
2017	J	`jnl`	Adaptive multi-penalty regularization based on a generalized Lasso path. CoRR Markus Grasmair, Timo Klock, Valeriya Naumova
2015	J	`jnl`	Landmark-Guided Elastic Shape Analysis of Human Character Motions. CoRR Martin Bauer, Markus Eslitzbichler, Markus Grasmair
2015	J	`jnl`	Optical Flow on Moving Manifolds. SIAM J. Imaging Sci. Martin Bauer, Markus Grasmair, Clemens Kirisits
2013	—	`conf`	Scale and Edge Detection with Topological Derivatives. SSVM Guozhi Dong, Markus Grasmair, Sung Ha Kang, Otmar Scherzer
2012	J	`jnl`	Shape Reconstruction with A Priori Knowledge Based on Integral Invariants. SIAM J. Imaging Sci. Thomas Fidler, Markus Grasmair, Otmar Scherzer
2011	J	`jnl`	The residual method for regularizing ill-posed problems. Appl. Math. Comput. Markus Grasmair, Markus Haltmeier, Otmar Scherzer
2009	—	`conf`	Locally Adaptive Total Variation Regularization. SSVM Markus Grasmair
2009	—	`book`	Variational Methods in Imaging. Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier, Frank Lenzen
2007	J	`jnl`	The Equivalence of the Taut String Algorithm and BV-Regularization. J. Math. Imaging Vis. Markus Grasmair
2005	—	`conf`	A Non-convex PDE Scale Space. Scale-Space Markus Grasmair, Frank Lenzen, Andreas Obereder, Otmar Scherzer, Matthias Fuchs