| Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ... IEEE transactions on medical imaging 37 (6), 1454-1463, 2018 | 249 | 2018 |
| Learning with known operators reduces maximum error bounds AK Maier, C Syben, B Stimpel, T Würfl, M Hoffmann, F Schebesch, W Fu, ... Nature machine intelligence 1 (8), 373-380, 2019 | 172 | 2019 |
| Weakly Supervised Segmentation of Cracks on Solar Cells Using Normalized Lp Norm M Mayr, M Hoffmann, A Maier, V Christlein 2019 IEEE International Conference on Image Processing (ICIP), 1885-1889, 2019 | 68 | 2019 |
| Photoluminescence for defect detection on full-sized photovoltaic modules B Doll, J Hepp, M Hoffmann, R Schüler, C Buerhop-Lutz, IM Peters, ... IEEE Journal of Photovoltaics 11 (6), 1419-1429, 2021 | 32 | 2021 |
| Empirical Scatter Correction using the Epipolar Consistency Condition M Hoffmann, T Würfl, N Maaß, F Dennerlein, A Aichert, AK Maier Fifth International Conference on Image Formation in X-Ray Computed Tomography, 2018 | 25 | 2018 |
| Anomaly detection in IR images of PV modules using supervised contrastive learning L Bommes, M Hoffmann, C Buerhop‐Lutz, T Pickel, J Hauch, C Brabec, ... Progress in Photovoltaics: Research and Applications 30 (6), 597-614, 2022 | 21 | 2022 |
| Deep‐learning‐based pipeline for module power prediction from electroluminescense measurements M Hoffmann, C Buerhop‐Lutz, L Reeb, T Pickel, T Winkler, B Doll, T Würfl, ... Progress in Photovoltaics: Research and Applications 29 (8), 920-935, 2021 | 18 | 2021 |
| Calibration‐free beam hardening reduction in x‐ray CBCT using the epipolar consistency condition and physical constraints T Würfl, M Hoffmann, A Aichert, AK Maier, N Maaß, F Dennerlein Medical physics 46 (12), e810-e822, 2019 | 15 | 2019 |
| A robust chessboard detector for geometric camera calibration M Hoffmann, A Ernst, T Bergen, S Hettenkofer, JU Garbas | 14 | 2017 |
| Fast and robust detection of solar modules in electroluminescence images M Hoffmann, B Doll, F Talkenberg, CJ Brabec, AK Maier, V Christlein Computer Analysis of Images and Patterns: 18th International Conference …, 2019 | 7 | 2019 |
| Contactless outdoor photoluminescence of silicon photovoltaic modules with large area excitation source B Doll, M Hoffmann, O Stroyuk, A Vetter Proc. 37th Eur. Photovolt. Sol. Energy Conf. Exhib., 1370-1373, 2020 | 5 | 2020 |
| Module-power prediction from PL measurements using deep learning M Hoffmann, J Hepp, B Doll, C Buerhop-Lutz, IM Peters, C Brabec, ... 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), 0827-0830, 2021 | 4 | 2021 |
| Deep learning-based pipeline for module power prediction from el measurements M Hoffmann, C Buerhop-Lutz, L Reeb, T Pickel, T Winkler, B Doll, T Würfl, ... arXiv preprint arXiv:2009.14712, 2020 | 3 | 2020 |
| Applying deep learning algorithms to EL-images for predicting the module power C Buerhop-Lutz, L Reeb, T Pickel, A Maier, M Hoffmann, J Hauch 36th European Photovoltaic Solar Energy Conference and Exhibition, 2019 | 2 | 2019 |
| Joint Superresolution and Rectification for Solar Cell Inspection M Hoffmann, T Köhler, B Doll, F Schebesch, F Talkenberg, IM Peters, ... IEEE journal of photovoltaics 11 (4), 1051-1058, 2021 | 1 | 2021 |
| PV module power prediction by deep learning on electroluminescence images-Assessing the physics learned by a convolutional neural network L Lüer, K Forberich, J Hepp, C Buerhop-Lutz, T Winkler, S Rodrigues, ... Solar Energy Materials and Solar Cells 264, 112621, 2024 | | 2024 |
| iPV4. 0: Intelligente vernetzte Produktion mittels Prozessrückkopplung entlang des Produktlebenszyklus von Solarmodulen (Akronym: iPV4. 0); Teilvorhabenbeschreibung … J Hepp, B Doll, M Hoffmann, S Ploner, CJ Brabec, A Maier, L Lüer, A Karl Friedrich-Alexander-Universität Erlangen-Nürnberg, Lehrstuhl für Materialien …, 2022 | | 2022 |
| Outdoor photoluminescence of large area photovoltaic modules B Doll, J Hepp, M Hoffmann, F Talkenberg, R Schüler, M Baier, ... Organic, Hybrid, and Perovskite Photovoltaics XXII 11809, 118091C, 2021 | | 2021 |
| Pattern detection A Ernst, M Hoffmann, J Garbas, T Bergen US Patent 11,030,452, 2021 | | 2021 |
| Pattern detection T Bergen, A Ernst, JU Garbas, M Hoffmann | | 2018 |
