Issue Date | Title | Involved Person(s) |
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 |
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 |
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 |
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 |
2019 | Efficient deep CNNs for cross-modal automated computer vision under time and space constraints | Amirian, Mohammadreza; Rombach, Katharina; Tuggener, Lukas; Schilling, Frank-Peter; Stadelmann, Thilo |