Deep Learning for Photoacoustic Tomography from Sparse Data. - Stephan Antholzer; Markus Haltmeier; Johannes Schwab (CoRR, 2017)

NETT: Solving Inverse Problems with Deep Neural Networks. - Housen Li; Johannes Schwab; Stephan Antholzer; Markus Haltmeier (CoRR, 2018)

A Galerkin Least Squares Approach for Photoacoustic Tomography. - Johannes Schwab; Sergiy Pereverzyev Jr.; Markus Haltmeier (SIAM J. Numer. Anal., 2018)

Sparse 𝓁q-regularization of inverse problems with deep learning. - Markus Haltmeier; Linh V. Nguyen; Daniel Obmann; Johannes Schwab (CoRR, 2019)

Sparse Anett For Solving Inverse Problems With Deep Learning. - Daniel Obmann; Linh V. Nguyen; Johannes Schwab; Markus Haltmeier (ISBI Workshops, 2020)

Deep synthesis regularization of inverse problems. - Daniel Obmann; 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)

Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. - Andrea Ebner; Jürgen Frikel; Dirk A. Lorenz; Johannes Schwab; Markus Haltmeier (CoRR, 2020)

Big in Japan: Regularizing Networks for Solving Inverse Problems. - Johannes Schwab; Stephan Antholzer; Markus Haltmeier (J. Math. Imaging Vis., 2020)

A Joint Variational Multichannel Multiphase Segmentation Framework. - Nadja Gruber; Johannes Schwab; Sébastien Court; Elke Ruth Gizewski; Markus Haltmeier (CoRR, 2022)

Variational multichannel multiclass segmentation endgraf using unsupervised lifting with CNNs. - Nadja Gruber; Johannes Schwab; Sébastien Court; Elke Ruth Gizewski; Markus Haltmeier (CoRR, 2023)

Single-Image based unsupervised joint segmentation and denoising. - Nadja Gruber; Johannes Schwab; Noémie Debroux; Nicolas Papadakis; Markus Haltmeier (CoRR, 2023)

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., 2024)

Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise. - Nadja Gruber; Johannes Schwab; Markus Haltmeier; Ander Biguri; Clemens Dlaska; Gyeongha Hwang (IEEE Access, 2025)

Training NTK to Generalize with KARE. - Johannes Schwab; Bryan Kelly; Semyon Malamud; Teng Andrea Xu (CoRR, 2025)