| Artificial Intelligence in Laser Powder Bed Fusion Procedures–Neural Networks for Live-Detection and Forecasting of Printing Failures. M Bauer, C Augenstein, M Schäfer, O Theile Procedia CIRP 107, 1367-1372, 2022 | 9 | 2022 |
| Multi-Modal Artificial Intelligence in Additive Manufacturing: Combining Thermal and Camera Images for 3D-Print Quality Monitoring. M Bauer, B Uhrich, M Schäfer, O Theile, C Augenstein, E Rahm ICEIS (1), 539-546, 2023 | 7 | 2023 |
| Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision M Bauer, C Augenstein 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2023 | 2 | 2023 |
| Neural Network for Analyzing Prostate Cancer Tissue Microarrays: Problems and Possibilities M Bauer, S Zürner, G Popp, G Kristiansen, UD Braumann Bildverarbeitung für die Medizin 2020: Algorithmen–Systeme–Anwendungen …, 2020 | 1 | 2020 |
| An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice BF Markus Bauer, Lennart Schneider, Marit Bernhardt, Christoph Augenstein ... Proceedings of the 26th International Conference on Enterprise Information …, 2024 | | 2024 |
| Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading M Bauer, C Augenstein DAGM German Conference on Pattern Recognition, 348-360, 2023 | | 2023 |
| Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum) M Bauer, S Zürner, M Kreuz, D Otto, G Popp, UD Braumann Medical Imaging 2021: Digital Pathology 11603, 333-333, 2021 | | 2021 |
| Histological grading of the prostate carcinoma using deep learning: an unsupervised approach M Bauer, S Zürner, M Kreuz, D Otto, G Popp, UD Braumann Medical Imaging 2021: Digital Pathology 11603, 235-252, 2021 | | 2021 |
