| Issue Date | Title | Involved Person(s) |
| Jun-2024 | Certification scheme for artificial intelligence based systems | Weng, Joanna; Denzel, Philipp; Reif, Monika Ulrike; Schilling, Frank-Peter; Billeter, Yann, et al |
| 31-May-2024 | Towards the certification of AI-based systems | Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen, et al |
| 31-May-2024 | MLOps as enabler of trustworthy AI | Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter, et al |
| Jan-2024 | Artifact reduction in 3D and 4D cone-beam computed tomography images with deep learning - a review | Amirian, Mohammadreza; Barco, Daniel; Herzig, Ivo; Schilling, Frank-Peter |
| 2-Nov-2023 | A framework for assessing and certifying explainability of health-oriented AI systems | Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike, et al |
| 30-Oct-2023 | Map-to-map translation for SKA mock observations and cosmological simulations | Denzel, Philipp; Schilling, Frank-Peter; Gavagnin, Elena |
| 30-Mar-2023 | Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks | Amirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas, et al |
| 11-Jan-2023 | certAInty : a certification scheme for AI systems (Innosuisse project) | Weng, Joanna; Reif, Monika; Chavarriaga, Ricardo; Schilling, Frank-Peter |
| 11-Jan-2023 | Deep learning the SKA : the Square Kilometer Array project | Denzel, Philipp Benedikt; Schilling, Frank-Peter; Gavagnin, Elena |
| 9-Jun-2022 | Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT | Herzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter, et al |
| Jun-2022 | Advances in deep neural networks for visual pattern recognition | Stadelmann, Thilo; Schilling, Frank-Peter |
| 9-Jun-2021 | A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications | Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter, et al |
| Mar-2021 | Two to trust : AutoML for safe modelling and interpretable deep learning for robustness | Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter, et al |
| 6-Nov-2020 | Design patterns for resource-constrained automated deep-learning methods | Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar, et al |
| Nov-2020 | Artificial neural networks in pattern recognition | Schilling, Frank-Peter; Stadelmann, Thilo |
