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

A Framework for Compressive Time-of-Flight 3D Sensing. - Stephan Antholzer; Christoph Wolf; Michael Sandbichler; Markus Dielacher; Markus Haltmeier (CoRR, 2017)

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

A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation. - Nadja Gruber; Stephan Antholzer; Werner Jaschke; Christian Kremser; Markus Haltmeier (CoRR, 2019)

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

Discretization of Learned NETT Regularization for Solving Inverse Problems. - Stephan Antholzer; Markus Haltmeier (J. Imaging, 2021)

Cluster-Based Autoencoders for Volumetric Point Clouds. - Stephan Antholzer; Martin Berger; Tobias Hell (CoRR, 2022)