Scheib, Stefan

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Number of items: 5.

Journal Article

Rüfenacht, Elias; Kamath, Amith; Suter, Yannick; Poel, Robert; Ermiş, Ekin; Scheib, Stefan; Reyes, Mauricio (2023). PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Computer methods and programs in biomedicine, 231(107374), p. 107374. Elsevier 10.1016/j.cmpb.2023.107374

Poel, Robert; Rüfenacht, Elias; Herrmann, Evelyn; Scheib, Stefan; Manser, Peter; Aebersold, Daniel M.; Reyes, Mauricio (2021). The predictive value of segmentation metrics on dosimetry in organs at risk of the brain. Medical image analysis, 73, p. 102161. Elsevier 10.1016/j.media.2021.102161

Chatelain, Cécile; Vetterli, Daniel; Henzen, Dominik; Favre, Pascal; Morf, Daniel; Scheib, Stefan; Fix, Michael K.; Manser, Peter (2013). Dosimetric properties of an amorphous silicon EPID for verification of modulated electron radiotherapy. Medical physics, 40(6), 061710. American Association of Physicists in Medicine AAPM 10.1118/1.4805113

Conference or Workshop Item

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

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

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