16 citations · 35 across the 4 of their papers we have counts for
6 papers
Knowledge State Networks for Effective Skill Assessment in Atomic Learning
Julian Rasch, David Middelbeck
The goal of this paper is to introduce a new framework for fast and effective knowledge state assessments in the context of personalized, skill-based online learning. We use knowle…
Convergence rates and structure of solutions of inverse problems with imperfect forward models
Martin Burger, Yury Korolev, Julian Rasch
The goal of this paper is to further develop an approach to inverse problems with imperfect forward operators that is based on partially ordered spaces. Studying the dual problem y…
Inexact First-Order Primal-Dual Algorithms
Julian Rasch, Antonin Chambolle
In this paper we investigate the convergence of a recently popular class of first-order primal-dual algorithms for saddle point problems under the presence of errors occurring in t…
Dynamic MRI Reconstruction from Undersampled Data with an Anatomical Prescan
Julian Rasch, Ville Kolehmainen, Riikka Nivajärvi +4
The goal of dynamic magnetic resonance imaging (dynamic MRI) is to visualize tissue properties and their local changes over time that are traceable in the MR signal. We propose a n…
Joint Reconstruction via Coupled Bregman Iterations with Applications to PET-MR Imaging
Julian Rasch, Eva-Maria Brinkmann, Martin Burger
Joint reconstruction has recently attracted a lot of attention, especially in the field of medical multi-modality imaging such as PET-MRI. Most of the developed methods rely on the…
Bias-Reduction in Variational Regularization
Eva-Maria Brinkmann, Martin Burger, Julian Rasch +1
The aim of this paper is to introduce and study a two-step debiasing method for variational regularization. After solving the standard variational problem, the key idea is to add a…