Hagag A, Gomaa A, Kornek D, Maier A, Fietkau R, Bert C, Huang Y, Putz F. Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding, in International Conference on Medical Image Computing and Computer-Assisted Intervention.; 2024:early–acceptance.

Putz F, Haderlein M, Lettmaier S, Semrau S, Fietkau R, Huang Y. Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support. International Journal of Radiation Oncology, Biology, Physics. 2024;118:900–904.

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.

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.

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.

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.

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.

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.

Thies M, Wagner F, Huang Y, Gu M, Kling L, Pechmann S, Aust O, Grüneboom A, Schett G, Christiansen S, et al. Calibration by differentiation–Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator. Journal of microscopy. 2022;287:81–92.

Khural BS, Baer-Beck M, Fournié E, Stierstorfer K, Huang Y, Maier A. Deep learning-based extended field of view computed tomography image reconstruction: influence of network design on image estimation outside the scan field of view. Biomedical Physics & Engineering Express. 2022;8:025021.

Rao DD, Maass N, Dennerlein F, Maier A, Huang Y. Machine Learning-based Detection of Spherical Markers in CT Volumes, in Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Springer Fachmedien Wiesbaden Wiesbaden; 2022:51–56.

Wagner F, Thies M, Karolczak M, Pechmann S, Huang Y, Gu M, Kling L, Weidner D, Aust O, Schett G, et al. Monte Carlo dose simulation for in-vivo X-ray nanoscopy, in Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Springer Fachmedien Wiesbaden Wiesbaden; 2022:107–112.

Wagner F, Thies M, Denzinger F, Gu M, Patwari M, Ploner S, Maul N, Pfaff L, Huang Y, Maier A. Trainable joint bilateral filters for enhanced prediction stability in low-dose CT. Scientific Reports. 2022;12:17540.

Wagner F, Thies M, Gu M, Huang Y, Pechmann S, Patwari M, Ploner S, Aust O, Uderhardt S, Schett G, et al. Ultralow-parameter denoising: trainable bilateral filter layers in computed tomography. Medical physics. 2022;49:5107–5120.

Huang Y, Bert C, Sommer P, Frey B, Gaipl U, Distel LV, Weissmann T, Uder M, Schmidt MA, Dörfler A, et al. Deep learning for brain metastasis detection and segmentation in longitudinal MRI data. Medical Physics. 2022;49:5773–5786.

Dutta B, Root K, Ullmann I, Wagner F, Mayr M, Seuret M, Thies M, Stromer D, Christlein V, Schür J, et al. Deep learning for terahertz image denoising in nondestructive historical document analysis. Scientific Reports. 2022;12:1–11.

Fan F, Kreher B, Keil H, Maier A, Huang Y. Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery. Medical Physics. 2022;49:2914–2930.

Xu J, Sun C, Huang Y, Huang X. Residual neural network for filter kernel design in filtered back-projection for ct image reconstruction, in Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer Fachmedien Wiesbaden Wiesbaden; 2021:164–169.

Mill L, Wolff D, Gerrits N, Philipp P, Kling L, Vollnhals F, Ignatenko A, Jaremenko C, Huang Y, De Castro O, et al. Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. Small Methods. 2021;5:2100223–1.