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.

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.

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.

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.