科研成果 by Year: 2023

2023
Weissmann T, Mansoorian S, May MS, Lettmaier S, Höfler D, Deloch L, Speer S, Balk M, Frey B, Gaipl US, et al. Deep Learning and Registration-Based Mapping for Analyzing the Distribution of Nodal Metastases in Head and Neck Cancer Cohorts: Informing Optimal Radiotherapy Target Volume Design. Cancers. 2023;15:4620.
Huang Y, Maier A, Fan F, Kreher B, Huang X, Fietkau R, Bert C, Putz F. PO-1693 Deep learning for perspective deformation correction in X-ray imaging. Radiotherapy and Oncology. 2023;182:S1404.
Putz F, Szkitsak J, Grigo J, Masitho S, Weissmann T, Frey B, Gaipl US, Fietkau R, Bert C, Huang Y. MO-0797 Deep Learning-assisted delineation of brain metastases: a workflow focusing on AI-expert interaction. Radiotherapy and Oncology. 2023;182:S667–S668.
Fan F, Wang Y, Ritschl L, Biniazan R, Beister M, Kreher B, Huang Y, Kappler S, Maier A. Metal-conscious Embedding for CBCT Projection Inpainting, in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE; 2023:1–5.
Weissmann T, Huang Y, Fischer S, Roesch J, Mansoorian S, Ayala Gaona H, Gostian A-O, Hecht M, Lettmaier S, Deloch L, et al. Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy. Frontiers in Oncology. 2023;13:1115258.
Huang Y, Gomaa A, Weissmann T, Grigo J, Tkhayat HB, Frey B, Gaipl US, Distel LV, Maier A, Fietkau R, et al. Benchmarking ChatGPT-4 on a Radiation Oncology In-Training Exam and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology. Frontiers in Oncology. 2023;13:1265024.
Chen J, Yu H, Ni S, Liu C, Ge W, Huang Y, Liu F. Weighted filtered back-projection for source translation computed tomography reconstruction. IEEE Transactions on Instrumentation and Measurement. 2023;72:1–9.