2022

• Langberg, Geir Severin Rakh Elvatun; Nygård, Jan Franz; Gogineni, Vinay Chakravarthi; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya. (2022) Towards a data-driven system for personalized cervical cancer risk stratification. Scientific Reports
  Academic article
• Langberg, Geir Severin Rakh Elvatun; Stapnes, Mikal Solberg; Nygård, Jan Franz; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya. (2022) Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. BMC Bioinformatics
  Academic article
• Grasmair, Markus; Wøien, Esten Nicolai. (2022) A PDE-Based Method for Shape Registration. SIAM Journal of Imaging Sciences
  Academic article

2021

• Grasmair, Markus; Naumova, Valeriya. (2021) Multiparameter Approaches in Image Processing. Springer Nature
  Academic chapter/article/Conference paper
• Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan Franz; Nygård, Mari; Grasmair, Markus. (2021) Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. IEEE Signal Processing Society
  Academic chapter/article/Conference paper

2020

• Grasmair, Markus. (2020) Source Conditions for Non-Quadratic Tikhonov Regularization. Numerical Functional Analysis and Optimization
  Academic article

2018

• Grasmair, Markus; Li, Housen; Munk, Axel. (2018) Variational multiscale nonparametric regression: Smooth functions. Annales de l'I.H.P. Probabilites et statistiques
  Academic article
• Grunert, Katrin; Holden, Helge; Grasmair, Markus. (2018) On the Equivalence of Eulerian and Lagrangian Variables for the Two-Component Camassa–Holm System. Springer Nature
  Academic chapter/article/Conference paper
• Grasmair, Markus; Klock, Timo; Naumova, Valeriya. (2018) Adaptive multi-penalty regularization based on a generalized Lasso path. Applied and Computational Harmonic Analysis
  Academic article

2017

• Bauer, Martin; Eslitzbichler, Markus; Grasmair, Markus. (2017) Landmark-guided elastic shape analysis of human character motions. Inverse Problems and Imaging
  Academic article

2016

• Grasmair, Markus; Naumova, Valeriya. (2016) Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization. Inverse Problems
  Academic article

2015

• Bauer, Martin; Grasmair, Markus; Kirisits, Clemens. (2015) Optical Flow on Moving Manifolds. SIAM Journal of Imaging Sciences
  Academic article

2014

• Beretta, Elena; Grasmair, Markus; Muszkieta, Monika; Scherzer, Otmar. (2014) A variational algorithm for the detection of line segments. Inverse Problems and Imaging
  Academic article

2013

• Bauer, Martin; Fidler, Thomas; Grasmair, Markus. (2013) Local Uniqueness of the Circular Integral Invariant. Inverse Problems and Imaging
  Academic article

2012

• Frick, Klaus; Grasmair, Markus. (2012) Regularization of linear ill-posed problems by the augmented Lagrangian method and variational inequalities. Inverse Problems
  Academic article

2011

• Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. (2011) Necessary and sufficient conditions for linear convergence of l1-regularization. Communications on Pure and Applied Mathematics
  Academic article

2010

• Grasmair, Markus. (2010) Generalized Bregman distances and convergence rates for non-convex regularization methods. Inverse Problems
  Academic article
• Grasmair, Markus; Lenzen, Frank. (2010) Anisotropic total variation filtering. Applied Mathematics and Optimization
  Academic article

2009

• Scherzer, Otmar; Grasmair, Markus; Grossauer, Harald; Haltmeier, Markus; Lenzen, Frank. (2009) Variational methods in imaging. Springer Applied mathematical sciences (167)
  Academic monograph

2008

• Grasmair, Markus; Haltmeier, Markus; Scherzer, Otmar. (2008) Sparse regularization with l^q penalty term. Inverse Problems
  Academic article

2007

• Grasmair, Markus. (2007) The equivalence of the taut string algorithm and BV-regularization. Journal of Mathematical Imaging and Vision
  Academic article