Paul Friedrich

Corbaz, Hélène, Nguyen, Anh, Schulze-Zachau, Victor, Friedrich, Paul, Durrer, Alicia, Bieder, Florentin, Cattin, Philippe C., & Psychogios, Marios N. (2026). Towards Diagnostic Quality Flat-Panel Detector CT Imaging Using Diffusion Models. Lecture Notes in Computer Science, 16098 LNCS, 12–21. https://doi.org/10.1007/978-3-032-07945-9_2

Durrer, A., Bieder, F., Friedrich, P., Menze, B., Cattin, P. C., & Kofler, F. (2026). fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting. Lecture Notes in Computer Science, 16128 LNCS. https://doi.org/10.1007/978-3-032-05472-2_17

Wehrli, M., Durrer, A., Friedrich, P., El Hadramy, S., Li, E., Brahaj, L., Hasler, C. C., & Cattin, P. C. (2026). Towards MR-Based Trochleoplasty Planning [Book-chapter]. In Lecture Notes in Computer Science: Vol. 16298 LNCS (pp. 1–10). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-09784-2_1

Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Tagare, Hemant D., & Papademetris, Xenophon. (2025). VidFuncta: Towards Generalizable Neural Representations for Ultrasound Videos. Lecture Notes in Computer Science, 16165, 109–119. https://doi.org/10.1007/978-3-032-06329-8_11

Wehrli, Michael, Durrer, Alicia, Friedrich, Paul, Buchakchiyskiy, Volodimir, Mumme, Marcus, Li, Edwin, Lehoczky, Gyozo, Hasler, Carol C., & Cattin, Philippe C. (2025). Generating 3D pseudo-healthy knee MR images to support trochleoplasty planning. International Journal of Computer Assisted Radiology and Surgery , 20(6), 1059–1066. https://doi.org/10.1007/s11548-025-03343-y

Li, J., Zhou, Z., Yang, J., Pepe, A., Gsaxner, C., Luijten, G., Qu, C., Zhang, T., Chen, X., Li, W., Wodzinski, M., Friedrich, P., Xie, K., Jin, Y., Ambigapathy, N., Nasca, E., Solak, N., Melito, G. M., Vu, V. D., et al. (2025). MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision. Biomedizinische Technik, 70(1), 71–90. https://doi.org/10.1515/bmt-2024-0396

Bieder, Florentin, Friedrich, Paul, Corbaz, Hélène, Durrer, Alicia, Wolleb, Julia, & C. Cattin, Philippe. (2025). Modeling the Neonatal Brain Development Using Implicit Neural Representations. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 15155 LNCS, 1–11. https://doi.org/10.1007/978-3-031-74561-4_1

Durrer, Alicia, Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Melie-Garcia, Lester, Ocampo Pineda, Mario Alberto, Bercea, Cosmin I., Hamamci, Ibrahim Ethem, Wiestler, Benedikt, Piraud, Marie, Yaldizli, Oezguer, Granziera, Cristina, Menze, Bjoern, Cattin, Philippe C., & Kofler, Florian. (2025). Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 15224 LNCS, 87–97. https://doi.org/10.1007/978-3-031-72744-3_9

Friedrich, P., Frisch, Y., & Cattin, P. C. (2025). Deep Generative Models for 3D Medical Image Synthesis. In Generative Machine Learning Models in Medical Image Computing (pp. 255–278). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-80965-1_13

Friedrich, Paul, Wolleb, Julia, Bieder, Florentin, Durrer, Alicia, & Cattin, Philippe C. (2025). WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 15224 LNCS, 11–21. https://doi.org/10.1007/978-3-031-72744-3_2

Sarrocco, Simone, Cattin, Philippe C, Maloca, Peter M, Friedrich, Paul, & Valmaggia, Philippe. (2025). Deep Generative Models for Enhanced Vitreous OCT Imaging. In arXiv (Cornell University). Cornell University. https://doi.org/10.48550/arXiv.2511.00881

Paul Friedrich, Yannik Frisch, & Philippe C. Cattin. (2024). Deep Generative Models for 3D Medical Image Synthesis. https://doi.org/10.48550/ARXIV.2410.17664

Durrer, Alicia, Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Melie-Garcia, Lester, Ocampo Pineda, Mario Alberto, Bercea, Cosmin I, Hamamci, Ibrahim Ethem, Wiestler, Benedikt, Piraud, Marie, & others. (2024, January 1). Denoising diffusion models for 3D healthy brain tissue inpainting. Medical Image Computing and Computer Assisted Interventions.

Wolleb, Julia, Bieder, Florentin, Friedrich, Paul, Zhang, Peter, Durrer, Alicia, & Cattin, Philippe C. (2024). Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection. In Lecture Notes in Computer Science: Vol. 15011 LNCS (pp. 135–145). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-72120-5_13

Friedrich, P., Wolleb, J., Bieder, F., Thieringer, F. M., & Cattin, P. C. (2023). Point Cloud Diffusion Models for Automatic Implant Generation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14228 LNCS, 112–122. https://doi.org/10.1007/978-3-031-43996-4_11