A Non-convex PDE Scale Space. - Markus Grasmair; Frank Lenzen; Andreas Obereder; Otmar Scherzer; Matthias Fuchs (Scale-Space, 2005)

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

Variational Methods in Imaging. - Otmar Scherzer; Markus Grasmair; Harald Grossauer; Markus Haltmeier; Frank Lenzen (Springer, 2009)

Locally Adaptive Total Variation Regularization. - Markus Grasmair (SSVM, 2009)

The residual method for regularizing ill-posed problems. - Markus Grasmair; Markus Haltmeier; Otmar Scherzer (Appl. Math. Comput., 2011)

Shape Reconstruction with A Priori Knowledge Based on Integral Invariants. - Thomas Fidler; Markus Grasmair; Otmar Scherzer (SIAM J. Imaging Sci., 2012)

Scale and Edge Detection with Topological Derivatives. - Guozhi Dong; Markus Grasmair; Sung Ha Kang; Otmar Scherzer (SSVM, 2013)

Landmark-Guided Elastic Shape Analysis of Human Character Motions. - Martin Bauer 004; Markus Eslitzbichler; Markus Grasmair (CoRR, 2015)

Optical Flow on Moving Manifolds. - Martin Bauer 004; Markus Grasmair; Clemens Kirisits (SIAM J. Imaging Sci., 2015)

Adaptive multi-penalty regularization based on a generalized Lasso path. - Markus Grasmair; Timo Klock; Valeriya Naumova (CoRR, 2017)

Source Conditions for non-quadratic Tikhonov Regularisation. - Markus Grasmair (CoRR, 2020)

Subgradient-based Lavrentiev regularisation of monotone ill-posed problems. - Markus Grasmair; Fredrik Hildrum (CoRR, 2020)

Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (ACSCC, 2021)

Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (SSP, 2021)

Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. - Geir Severin R. E. Langberg; Mikal Stapnes; Jan F. Nygård; Mari Nygård; Markus Grasmair; Valeriya Naumova (BMC Bioinform., 2022)

A square root velocity framework for curves of bounded variation. - Markus Grasmair (CoRR, 2022)

A PDE-Based Method for Shape Registration. - Esten Nicolai Wøien; Markus Grasmair (SIAM J. Imaging Sci., 2022)

Adversarial Generative NMF for Single Channel Source Separation. - Martin Ludvigsen; Markus Grasmair (CoRR, 2023)

Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation. - Martin Ludvigsen; Markus Grasmair (CoRR, 2024)

Parameter identification in PDEs by the solution of monotone inclusion problems. - Pankaj Gautam; Markus Grasmair (Numerische Mathematik, 2025)