Yang C, Xie J, Huang X, Tan H, Li Q, Tang Z, Ma X, Lu J, He Q, Fu W, et al. ECS-Net: Extracellular space segmentation with contrastive and shape-aware loss by using cryo-electron microscopy imaging. Expert Systems with Applications. 2025.

Gomaa A, Huang Y, Stephan P, Breininger K, Frey B, Dörfler A, Schnell O, Delev D, Coras R, Donaubauer A-J, et al. A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma. Scientific Reports. 2025;15:17133.

Sun Y, Huang Y, Yang Z, Schneider L-S, Thies M, Gu M, Mei S, Bayer S, Zöllner FG, Maier A. EAGLE: an edge-aware gradient localization enhanced loss for CT image reconstruction. Journal of Medical Imaging. 2025;12:014001–014001.

Hou Y, Bert C, Gomaa A, Lahmer G, Höfler D, Weissmann T, Voigt R, Schubert P, Schmitter C, Depardon A, et al. Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology. Frontiers in Artificial Intelligence. 2025;7:1493716.

Huang Y, Maier A, Fan F, Kreher B, Huang X, Fietkau R, Han H, Putz F, Bert C. Learning Perspective Distortion Correction in Cone-Beam X-Ray Transmission Imaging. IEEE Transactions on Radiation and Plasma Medical Sciences. 2025.

Huang Y, Gomaa A, Hoefler D, Schubert P, Gaipl U, Frey B, Fietkau R, Bert C, Putz F. Principles of artificial intelligence in radiooncology. Strahlentherapie und Onkologie. 2025;201:210–235.

Putz F, Beirami S, Schmidt MA, May MS, Grigo J, Weissmann T, Schubert P, Höfler D, Gomaa A, Hassen BT, et al. The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning. Strahlentherapie und Onkologie. 2025;201:255–265.

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.

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.

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.

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.

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.

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, 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.

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.

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.