Khodabakhshi Z, Huang Y, Fietkau R, Guckenberger M, Tanadini-Lang S, Putz F, Andratschke N. 2643: Brain metastases segmentation using deep learning with spatial information of brain parcellation. Radiotherapy and Oncology. 2024;194:S3120–S3123.

Huang Y, Khodabakhshi Z, Gomaa A, Fietkau R, Guckenberger M, Bert C, Nicolaus A, Tanadini-Lang S, Putz F. 598: Learning without forgetting improves brain metastases autodetection in multicenter collaboration. Radiotherapy and Oncology. 2024;194:S3012–S3015.

Liu Z, Zhang J, Rao G, Peng Z, Huang Y, Arnold S, Liu B, Deng C, Li C, Li H, et al. Accelerating Photostability Evaluation of Perovskite Films through Intelligent Spectral Learning-Based Early Diagnosis. ACS Energy Letters. 2024;9:662–670.

Wang Z, Deng Z, Liu F, Huang Y, Yu H, Cui J. OSNet and MNetO: Two types of general reconstruction architectures to transform DBP images for linear computed tomography in multi-scenarios. IEEE Transactions on Instrumentation and Measurement. 2024;73:1–16.

Huijben EMC, Terpstra ML, Pai S, Thummerer A, Koopmans P, Afonso M, Van Eijnatten M, Gurney-Champion O, Chen Z, Zhang Y, et al. Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical image analysis. 2024;97:103276.

Grigo J, Karius A, Hanspach J, Mücke L, Laun FB, Huang Y, Strnad V, Fietkau R, Bert C, Putz F. Toward a deep learning-based magnetic resonance imaging only workflow for postimplant dosimetry in I-125 seed brachytherapy for prostate cancer. Brachytherapy. 2024;23:96–105.

Liu C, Klein L, Huang Y, Baader E, Lell M, Kachelrieß M, Maier A. Two-view topogram-based anatomy-guided CT reconstruction for prospective risk minimization. Scientific reports. 2024;14:9373.

Yu H, Ni S, Thies M, Wagner F, Huang Y, Liu F, Maier A. Multiple source translation micro-CT improves both field-of-view and spatial resolution. IEEE Transactions on Instrumentation and Measurement. 2024;73:1–11.

Huang Y, Khodabakhshi Z, Gomaa A, Schmidt M, Fietkau R, Guckenberger M, Andratschke N, Bert C, Tanadini-Lang S, Putz F. Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation. Radiotherapy and Oncology. 2024;198:1–8.

Yu H, Liu C, Thies M, Wagner F, Wang A, Zhang GY, Huang Y, Liu F, Maier A. Reducing penumbral blur in computed tomography by learning the inverse finite focal spot model. Optics Express. 2024;32:23674–23686.

Gomaa A, Huang Y, Hagag A, Schmitter C, Höfler D, Weissmann T, Breininger K, Schmidt M, Stritzelberger J, Delev D, et al. Comprehensive multimodal deep learning survival prediction enabled by a transformer architecture: A multicenter study in glioblastoma. Neuro-Oncology Advances. 2024;6:vdae122.

Huang Y, Bert C, Gomaa A, Fietkau R, Maier A, Putz F. An experimental survey of incremental transfer learning for multicenter collaboration. IEEE Access. 2024.

Wang Z, Yu H, Huang Y, Wang S, Ni S, Li Z, Deng Z, Liu F, Cui J. Bpf algorithms for multiple source-translation computed tomography reconstruction. IEEE Transactions on Instrumentation and Measurement. 2024.

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.