François Patou

According to our database, François Patou authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 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

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

One-Shot Learning for Landmarks Detection.

Zihao Wang, Clair Vandersteen, Charles Raffaelli, Nicolas Guevara, François Patou, Hervé Delingette

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

Model-based systems engineering for life-sciences instrumentation development.

François Patou, Maria Dimaki, Anja M. Maier, Winnie E. Svendsen, Jan Madsen

Syst. Eng., 2019

2016

Smartphone-based biosensing platform evolution: Implementation of electrochemical analysis capabilities.

François Patou, Maria Dimaki, Winnie E. Svendsen, Claus Kjægaard, Jan Madsen

Proceedings of the 10th International Symposium on Medical Information and Communication Technology, 2016

Model-Based Evaluation of System Scalability: Bandwidth Analysis for Smartphone-Based Biosensing Applications.

François Patou, Maria Dimaki, Winnie E. Svendsen, Jan Madsen

Proceedings of the 2016 Euromicro Conference on Digital System Design, 2016

2015

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

Proceedings of the 2015 Euromicro Conference on Digital System Design, 2015