| 2023 | MICCAI | Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation. | Paula Lpez Diez, Jn Margeta, Khassan Diab, Franois Patou, Rasmus R. Paulsen |
| 2022 | MICCAI | Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. | Paula Lpez Diez, Kristine Srensen, Josefine Vilsbll Sundgaard, Khassan Diab, Jn Margeta, Franois Patou, Rasmus R. Paulsen |
| 2022 | MICCAI | Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning. | Ana-Teodora Radutoiu, Franois Patou, Jn Margeta, Rasmus R. Paulsen, Paula Lpez Diez |
| 2021 | MICCAI | Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection. | Paula Lpez Diez, Josefine Vilsbll Sundgaard, Franois Patou, Jn Margeta, Rasmus Reinhold Paulsen |
| 2021 | MICCAI | One-Shot Learning for Landmarks Detection. | Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, Franois Patou, Herv Delingette |
| 2016 | DSD | Model-Based Evaluation of System Scalability: Bandwidth Analysis for Smartphone-Based Biosensing Applications. | Franois Patou, Maria Dimaki, Winnie E. Svendsen, Jan Madsen |
| 2015 | DSD | A Smart Mobile Lab-on-Chip-Based Medical Diagnostics System Architecture Designed for Evolvability. | Franois Patou, Maria Dimaki, Winnie E. Svendsen, Klaus Kjgaard, Jan Madsen |