Color Persistent Anisotropic Diffusion of Images. - Freddie Åström; Michael Felsberg; Reiner Lenz (SCIA, 2011)

A parallel neural network approach to prediction of Parkinson's Disease. - Freddie Åström; Rasit Köker (Expert Syst. Appl., 2011)

On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising. - Freddie Åström; George Baravdish; Michael Felsberg (ECCV (3), 2012)

Targeted Iterative Filtering. - Freddie Åström; Michael Felsberg; George Baravdish; Claes Lundström (SSVM, 2013)

Density Driven Diffusion. - Freddie Åström; Vasileios Zografos; Michael Felsberg (SCIA, 2013)

On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising. - Freddie Åström; Michael Felsberg (ACCV Workshops (2), 2014)

A Tensor Variational Formulation of Gradient Energy Total Variation. - Freddie Åström; George Baravdish; Michael Felsberg (EMMCVPR, 2014)

Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion. - Christian Heinemann; Freddie Åström; George Baravdish; Kai Krajsek; Michael Felsberg; Hanno Scharr (VISAPP (1), 2014)

On coupled regularization for non-convex variational image enhancement. - Freddie Åström; Christoph Schnörr (ACPR, 2015)

Adaptive sharpening of multimodal distributions. - Freddie Åström; Michael Felsberg; Hanno Scharr (CVCS, 2015)

Extension of p-Laplace Operator for Image Denoising. - George Baravdish; Yuanji Cheng; Olof Svensson; Freddie Åström (System Modelling and Optimization, 2015)

Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains. - Freddie Åström (2015)

The Assignment Manifold: A Smooth Model for Image Labeling. - Freddie Åström; Stefania Petra; Bernhard Schmitzer; Christoph Schnörr (CVPR Workshops, 2016)

Source Localization of Reaction-Diffusion Models for Brain Tumors. - Rym Jaroudi; George Baravdish; Freddie Åström; B. Tomas Johansson (GCPR, 2016)

A Geometric Approach to Image Labeling. - Freddie Åström; Stefania Petra; Bernhard Schmitzer; Christoph Schnörr (ECCV (5), 2016)

Double-Opponent Vectorial Total Variation. - Freddie Åström; Christoph Schnörr (ECCV (2), 2016)

Color image regularization via channel mixing and half quadratic minimization. - Freddie Åström (ICIP, 2016)

A Geometric Approach to Color Image Regularization. - Freddie Åström; Christoph Schnörr (CoRR, 2016)

MAP Image Labeling Using Wasserstein Messages and Geometric Assignment. - Freddie Åström; Ruben Hühnerbein; Fabrizio Savarino; Judit Recknagel; Christoph Schnörr (SSVM, 2017)

Numerical Integration of Riemannian Gradient Flows for Image Labeling. - Fabrizio Savarino; Ruben Hühnerbein; Freddie Åström; Judit Recknagel; Christoph Schnörr (SSVM, 2017)

Graphical Model Parameter Learning by Inverse Linear Programming. - Vera Trajkovska; Paul Swoboda; Freddie Åström; Stefania Petra (SSVM, 2017)

Image Reconstruction by Multilabel Propagation. - Matthias Zisler; Freddie Åström; Stefania Petra; Christoph Schnörr (SSVM, 2017)

A geometric approach for color image regularization. - Freddie Åström; Christoph Schnörr (Comput. Vis. Image Underst., 2017)

Mapping-Based Image Diffusion. - Freddie Åström; Michael Felsberg; George Baravdish (J. Math. Imaging Vis., 2017)

Image Labeling by Assignment. - Freddie Åström; Stefania Petra; Bernhard Schmitzer; Christoph Schnörr (J. Math. Imaging Vis., 2017)

Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. - Artjom Zern; Matthias Zisler; Freddie Åström; Stefania Petra; Christoph Schnörr (GCPR, 2018)

Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. - Ruben Hühnerbein; Fabrizio Savarino; Freddie Åström; Christoph Schnörr (SIAM J. Imaging Sci., 2018)

Numerical simulations in 3-dimensions of reaction-diffusion models for brain tumour growth. - Rym Jaroudi; Freddie Åström; B. Tomas Johansson; George Baravdish (Int. J. Comput. Math., 2020)