A Smart Mobile Lab-on-Chip-Based Medical Diagnostics System Architecture Designed for Evolvability. - François Patou; Maria Dimaki; Winnie E. Svendsen; Klaus Kjægaard; Jan Madsen (DSD, 2015)

Model-Based Evaluation of System Scalability: Bandwidth Analysis for Smartphone-Based Biosensing Applications. - François Patou; Maria Dimaki; Winnie E. Svendsen; Jan Madsen (DSD, 2016)

Smartphone-based biosensing platform evolution: Implementation of electrochemical analysis capabilities. - François Patou; Maria Dimaki; Winnie E. Svendsen; Claus Kjægaard; Jan Madsen (ISMICT, 2016)

Model-based systems engineering for life-sciences instrumentation development. - François Patou; Maria Dimaki; Anja M. Maier; Winnie E. Svendsen; Jan Madsen (Syst. Eng., 2019)

Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection. - Paula López Diez; Josefine Vilsbøll Sundgaard; François Patou; Ján Margeta; Rasmus Reinhold Paulsen (MICCAI (4), 2021)

One-Shot Learning for Landmarks Detection. - Zihao Wang 002; Clair Vandersteen; Charles Raffaelli; Nicolas Guevara; François Patou; Hervé Delingette (DGM4MICCAI/DALI@MICCAI, 2021)

Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography. - Paula López Diez; Kristine Sørensen; Josefine Vilsbøll Sundgaard; Khassan Diab; Ján Margeta; François Patou; Rasmus R. Paulsen (MICCAI (3), 2022)

Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning. - Ana-Teodora Radutoiu; François Patou; Ján Margeta; Rasmus R. Paulsen; Paula López Diez (MLMI@MICCAI, 2022)

Deep Reinforcement Learning for Detection of Abnormal Anatomies. - Paula López Diez; Kristine Aavild Juhl; Josefine Vilsbøll Sundgaard; Hassan Diab; Ján Margeta; François Patou; Rasmus R. Paulsen (NLDL, 2022)

Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation. - Paula López Diez; Ján Margeta; Khassan Diab; François Patou; Rasmus R. Paulsen (MICCAI (5), 2023)

Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images. - Paula López Diez; Josefine Vilsbøll Sundgaard; Ján Margeta; Khassan Diab; François Patou; Rasmus R. Paulsen (Comput. Medical Imaging Graph., 2024)