Scholar
Ninon Burgos
Google Scholar ID: lHuYSU0AAAAJ
CNRS researcher - Paris Brain Institute (ICM), ARAMIS Lab
Citations & Impact
Citations
3,351
H-index
25
i10-index
49
Publications
20
Co-authors
17
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple representative papers, such as 'Evaluation of Pseudo-Healthy Image Reconstruction for Anomaly Detection with Deep Generative Models: Application to Brain FDG PET' (Machine Learning for Biomedical Imaging, 2024) and 'Automatic Motion Artefact Detection in Brain T1-Weighted Magnetic Resonance Images from a Clinical Data Warehouse Using Synthetic Data' (Medical Image Analysis, 2024). Received the ERCIM Cor Baayen Young Researcher Award in 2019.
Research Experience
- Currently a CNRS research director at the Paris Brain Institute and co-head of the ARAMIS Lab. She has been involved in several research projects, such as deep generative models for the detection of anomalies in brain PET images and machine learning to exploit neuroimages in clinical data warehouses.
Education
- Completed her PhD in 2016 at University College London's Centre for Medical Image Computing, under the supervision of Sébastien Ourselin.
Background
- Research interests include medical image processing and analysis, using images to guide diagnosis, and applying these methods in clinical practice. Specific contributions include anomaly detection, translating machine learning approaches for quality control and computer-aided diagnosis into clinical practice, reproducible medical image processing and computer-aided diagnosis with machine learning, and the development of open-source software.
