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1.
De Benetti, F.* et al.: Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: A framework conditioned on prior segmentation. Phys. Imag. Radiat. Oncology 34:100766 (2025)
2.
Delopoulos, N.* et al.: Implementation and clinical evaluation of an in-house thoracic auto-segmentation model for 0.35 T magnetic resonance imaging guided radiotherapy. Phys. Imag. Radiat. Oncology 35:100819 (2025)
3.
Burkhardt, R. et al.: In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice. Phys. Imag. Radiat. Oncology 20, 11-16 (2021)
4.
Winter, J. ; Ellerbrock, M.* ; Jäkel, O.* ; Greilich, S.* & Bangert, M.*: Analytical modeling of depth-dose degradation in heterogeneous lung tissue for intensity-modulated proton therapy planning. Phys. Imag. Radiat. Oncology 14, 32-38 (2020)
5.
Winter, J. et al.: Clinical microbeam radiation therapy with a compact source: Specifications of the line-focus X-ray tube. Phys. Imag. Radiat. Oncology 14, 74-81 (2020)