| The predictive value of segmentation metrics on dosimetry in organs at risk of the brain R Poel, E Rüfenacht, E Hermann, S Scheib, P Manser, DM Aebersold, ... Medical image analysis 73, 102161, 2021 | 19 | 2021 |
| PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion E Rüfenacht, A Kamath, Y Suter, R Poel, E Ermiş, S Scheib, M Reyes Computer methods and programs in biomedicine 231, 107374, 2023 | 4 | 2023 |
| Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma R Poel, E Rüfenacht, E Ermis, M Müller, MK Fix, DM Aebersold, P Manser, ... Radiation Oncology 17 (1), 170, 2022 | 2 | 2022 |
| Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation E Rüfenacht, R Poel, A Kamath, E Ermis, S Scheib, MK Fix, M Reyes International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Organs at Risk Delineation for Brain Tumor Radiation Planning in Patients with Glioblastoma Using Deep Learning E Ruefenacht, A Jungo, E Ermiş, M Blatti-Moreno, H Hemmatazad, ... International Journal of Radiation Oncology, Biology, Physics 105 (1), E718-E719, 2019 | 1 | 2019 |
| A Multi-criteria Quality Assessment of Automated Alternative Segmentations for Radiation Therapy of Brain Tumor Patients AJ Kamath, R Münger, R Poel, E Rüfenacht, A Jungo, J Willmann, ... | | 2021 |
| Fully automated organs at risk delineation for brain tumor radiation planning in patients with glioblastoma using deep learning E Rüfenacht, A Jungo, E Ermis, H Hemmatazad, MJ Blatti, DM Aebersold, ... Strahlentherapie und Onkologie 195 (12), 1149-1149, 2019 | | 2019 |
| Capturing Spatial Relationships with Capsules for the Segmentation of Organs at Risk E Rüfenacht | | |
