Johannes Schwab

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Inverse Problems

Top Venues

SIAM J. Numer. Anal.

J. Comput. Appl. Math.

J. Math. Imaging Vis.

Publications

Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging. J. Comput. Appl. Math. 439 (2024)
Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier
Single-Image based unsupervised joint segmentation and denoising. CoRR (2023)
Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs. CoRR (2023)
Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
A Joint Variational Multichannel Multiphase Segmentation Framework. CoRR (2022)
Johannes Schwab, Stephan Antholzer, Markus Haltmeier
Big in Japan: Regularizing Networks for Solving Inverse Problems. J. Math. Imaging Vis. 62 (3) (2020)
Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
Sparse aNETT for Solving Inverse Problems with Deep Learning. CoRR (2020)
Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab
Data-consistent neural networks for solving nonlinear inverse problems. CoRR (2020)
Daniel Obmann, Johannes Schwab, Markus Haltmeier
Deep synthesis regularization of inverse problems. CoRR (2020)
Andrea Ebner, Jürgen Frikel, Dirk Lorenz, Johannes Schwab, Markus Haltmeier
Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. CoRR (2020)
Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
Sparse Anett For Solving Inverse Problems With Deep Learning. ISBI Workshops (2020)
Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab
-regularization of inverse problems with deep learning. CoRR (2019)
Housen Li, Johannes Schwab, Stephan Antholzer, Markus Haltmeier
NETT: Solving Inverse Problems with Deep Neural Networks. CoRR (2018)
Johannes Schwab, Sergiy Pereverzyev Jr., Markus Haltmeier
A Galerkin Least Squares Approach for Photoacoustic Tomography. SIAM J. Numer. Anal. 56 (1) (2018)
Stephan Antholzer, Markus Haltmeier, Johannes Schwab
Deep Learning for Photoacoustic Tomography from Sparse Data. CoRR (2017)