Johannes Schwab

According to our database, Johannes Schwab authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging.

Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier

J. Comput. Appl. Math., March, 2024

2023

Single-Image based unsupervised joint segmentation and denoising.

Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier

CoRR, 2023

Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs.

Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier

CoRR, 2023

2022

A Joint Variational Multichannel Multiphase Segmentation Framework.

Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier

CoRR, 2022

2020

Big in Japan: Regularizing Networks for Solving Inverse Problems.

Johannes Schwab, Stephan Antholzer, Markus Haltmeier

J. Math. Imaging Vis., 2020

Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition.

Andrea Ebner, Jürgen Frikel, Dirk A. Lorenz, Johannes Schwab, Markus Haltmeier

CoRR, 2020

Data-consistent neural networks for solving nonlinear inverse problems.

Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab

CoRR, 2020

Deep synthesis regularization of inverse problems.

Daniel Obmann, Johannes Schwab, Markus Haltmeier

CoRR, 2020

Sparse Anett For Solving Inverse Problems With Deep Learning.

Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019

Sparse 𝓁^q-regularization of inverse problems with deep learning.

Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab

CoRR, 2019

2018

A Galerkin Least Squares Approach for Photoacoustic Tomography.

Johannes Schwab, Sergiy Pereverzyev Jr., Markus Haltmeier

SIAM J. Numer. Anal., 2018

NETT: Solving Inverse Problems with Deep Neural Networks.

Housen Li, Johannes Schwab, Stephan Antholzer, Markus Haltmeier

CoRR, 2018

2017

Deep Learning for Photoacoustic Tomography from Sparse Data.

Stephan Antholzer, Markus Haltmeier, Johannes Schwab

CoRR, 2017