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Poel, Robert; Rüfenacht, Elias; Fix, Michael; Scheib, Stefan; Reyes, Mauricio; Ermis, Ekin (May 2024). Clinical evaluation of a deep learning based auto-segmentation model for intracranial organs at risk. Radiotherapy and oncology, 194(1), S821-S822. Elsevier
Poel, Robert; Kamath, Amith J.; Willmann, Jonas; Andratschke, Nicolaus; Ermis, Ekin; Aebersold, Daniel M.; Manser, Peter; Reyes, Mauricio (2023). Deep-Learning-Based Dose Predictor for Glioblastoma–Assessing the Sensitivity and Robustness for Dose Awareness in Contouring. Cancers, 15(17) MDPI AG 10.3390/cancers15174226
Kamath, Amith; Poel, Robert; Willmann, Jonas; Andratschke, Nicolaus; Reyes, Mauricio (2023). How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1-4). IEEE 10.1109/ISBI53787.2023.10230559
Rüfenacht, Elias; Poel, Robert; Kamath, Amith; Ermis, Ekin; Scheib, Stefan; Fix, Michael K.; Reyes, Mauricio (2023). Dose Guidance for Radiotherapy-Oriented Deep Learning Segmentation. Lecture notes in computer science, 14228, pp. 525-534. Cham: Springer 10.1007/978-3-031-43996-4_50
Kamath, Amith; Poel, Robert; Willmann, Jonas; Ermis, Ekin; Andratschke, Nicolaus; Reyes, Mauricio (2023). ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1-4). IEEE 10.1109/EMBC40787.2023.10341062
