Dr. Florentin Bieder

Valmaggia, Philippe, Wolleb, Julia, Bieder, Florentin, Scholl, Hendrik P. N., Cattin, Philippe C., & Maloca, Peter M. (2025). Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-024-84417-w

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, 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

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.

Bieder, Florentin, Wolleb, Julia, Durrer, Alicia, Sandkuehler, Robin, & Cattin, Philippe C. (2023). Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing. In Ipek Oguz, Jack Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heinmann, Despina Kontos, Bennett Landman, Benoit Dawant (Ed.), Medical Imaging with Deep Learning (Vol. 227). https://proceedings.mlr.press/v227/bieder24a.html

Bieder, Florentin, Wolleb, Julia, Durrer, Alicia, Sandkühler, Robin, & Cattin, Philippe C. (2023). Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing. Proceedings of machine learning research, 227, 552–567.

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

Bieder, F., Wolleb, J., Sandkühler, R., & Cattin, P. C. (2022). Position Regression for Unsupervised Anomaly Detection. Proceedings of Machine Learning Research, 172, 160–172.

Wolleb Julia, Bieder Florentin, Sandkühler Robin, & Cattin Philippe C. (2022). Diffusion Models for Medical Anomaly Detection. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13438 LNCS, 35–45. https://doi.org/10.1007/978-3-031-16452-1_4

Wolleb, Julia, Sandkühler, Robin, Bieder, Florentin, Barakovic, Muhamed, Hadjikhani, Nouchine, Papadopoulou, Athina, Yaldizli, Özgür, Kuhle, Jens, Granziera, Cristina, & Cattin, Philippe C. (2022). Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13437 LNCS, 725–735. https://doi.org/10.1007/978-3-031-16449-1_69

Wolleb, J., Sandkühler, R., Bieder, F., Valmaggia, P., & Cattin, P. C. (2022). Diffusion Models for Implicit Image Segmentation Ensembles. Proceedings of Machine Learning Research, 172, 1336–1348.

Oliveira, M. L., Schaub, S., Dagassan-Berndt, D., Bieder, F., Cattin, P. C., & Bornstein, M. M. (2025). Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles [Journal-article]. Dentomaxillofacial Radiology, 54(2), 109–117. https://doi.org/10.1093/dmfr/twae062

Bieder, Florentin, Sandkühler, Robin, & Cattin, Philippe C. (2021). Comparison of methods generalizing max-and average-pooling.