Professur für Med. Strahlenphysik

Deep Learning-based Auto-contouring of Lymph Node Levels in Head and Neck Area (2022) Weissmann T, Huang Y, Sommer P, Roesch J, Mansoorian S, Ayala H, Fischer S, et al. Conference contribution Possibilities of a Seed Control after the Implantation by using MRI and Deep Learning-based QSM Reconstruction (2022) Grigo J, Karius A, Hanspach J, Weissmann T, Laun FB, Strnad V, Putz F, Bert C Conference contribution Deep Learning-based automatic longitudinal volumetric Analysis in Acoustic Neuroma (2022) Putz F, Chen HF, Huang Y, Weissmann T, Mansoorian S, Schmidt M, Semrau S, et al. Conference contribution Deep Learning based Prediction of Glioma Growth by using "Growing Neural Cellular Automata" (2022) Huang Y, Maier A, Sommer P, Fischer S, Srinivasan AL, Fietkau R, Bert C, Putz F Conference contribution Change in the radio-oncological Treatment Concept for Brain Metastases through a dedicated Radiotherapy Planning MRI (2022) Voigt R, Masitho S, Grigo J, Reissig L, Uder M, Semrau S, Fietkau R, et al. Conference contribution Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images (2022) Dörfler A, Huang Y, Bert C, Sommer P, Frey B, Gaipl U, Distel L, et al. Conference contribution Creation of an Electro-magnetic Heat Simulation for Planning Hyperthermia Treatments for Mice (2022) Kahlert B, Bert C, Rückert M, Hensel B, Root K, Vossiek M, Fietkau R, et al. Conference contribution Deep Learning based fully automated volumetric Progression Assessment in Patients with Brain Metastases after stereotactic Radiotherapy (2022) Putz F, Huang Y, Weissmann T, Mansoorian S, Sommer P, Fischer S, Srinivasan A, et al. Conference contribution Low-dose-rate Prostate Brachytherapy: Characterization of Seeds Dynamics within the Prostate (2022) Karius A, Lotter M, Kreppner S, Lubgan D, Grigo J, Fietkau R, Strnad V, Bert C Conference contribution Reporting and Evaluation System for Incidents in the Radiation Therapy to increase Patient Safety, Treatment Quality and the Efficiency of Process Flows (2022) Kornek D, Lang-Welzenbach M, Beck A, Reinhardt A, Brandt T, Bert C Conference contribution