A Robust Chessboard Detector for Geometric Camera Calibration. - Mathis Hoffmann; Andreas Ernst; Tobias Bergen; Sebastian Hettenkofer; Jens-Uwe Garbas (VISIGRAPP (4: VISAPP), 2017)

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. - Tobias Würfl; Mathis Hoffmann; Vincent Christlein; Katharina Breininger; Yixing Huang; Mathias Unberath; Andreas K. Maier (IEEE Trans. Medical Imaging, 2018)

Fast and Robust Detection of Solar Modules in Electroluminescence Images. - Mathis Hoffmann; Bernd Doll; Florian Talkenberg; Christoph J. Brabec; Andreas K. Maier; Vincent Christlein (CAIP (2), 2019)

Weakly Supervised Segmentation of Cracks on Solar Cells Using Normalized Lp Norm. - Martin Mayr; Mathis Hoffmann; Andreas K. Maier; Vincent Christlein (ICIP, 2019)

Learning with Known Operators reduces Maximum Training Error Bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (CoRR, 2019)

Learning with known operators reduces maximum error bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (Nat. Mach. Intell., 2019)

Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. - Mathis Hoffmann; Claudia Buerhop-Lutz; Luca Reeb; Tobias Pickel; Thilo Winkler; Bernd Doll; Tobias Würfl; Ian Marius Peters; Christoph Brabec; Andreas Maier 001; Vincent Christlein (CoRR, 2020)

Joint Super-Resolution and Rectification for Solar Cell Inspection. - Mathis Hoffmann; Thomas Köhler 004; Bernd Doll; Frank Schebesch; Florian Talkenberg; Ian Marius Peters; Christoph J. Brabec; Andreas Maier 001; Vincent Christlein (CoRR, 2020)

Module-Power Prediction from PL Measurements using Deep Learning. - Mathis Hoffmann; Johannes Hepp; Bernd Doll; Claudia Buerhop-Lutz; Ian Marius Peters; Christoph Brabec; Andreas Maier 001; Vincent Christlein (CoRR, 2021)

Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning. - Lukas Bommes; Mathis Hoffmann; Claudia Buerhop-Lutz; Tobias Pickel; Jens Hauch; Christoph Brabec; Andreas K. Maier; Ian Marius Peters (CoRR, 2021)

An Industry-Specific Investigation on Artificial Intelligence Adoption: The Cases of Financial Services and Manufacturing. - Mathis Hoffmann; Maren F. Mehler (PACIS, 2023)

DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling. - Dennis Possart; Leonid Mill; Florian Vollnhals; Tor Hildebrand; Peter Suter; Mathis Hoffmann; Jonas Utz; Daniel Augsburger; Mareike Thies; Mingxuan Wu; Fabian Wagner; George Sarau; et al. (CoRR, 2025)