Education
Ph.D. in Medical Image Analysis
2021–2024University of Western Brittany
M.Sc. in Images and Signals for Medicine
2020–2021UPEC (Université Paris-Est Créteil)
Engineering Degree in Computer Science for Health
2017–2020EPISEN
Professional Experience
Research Engineer
2025–PresentIMTA, France
Image falsification detection and classification using explainable AI.
Ph.D. Researcher
2021–2024LATIM, France
Thesis: Longitudinal follow-up and multi-modal analysis for prediction of diabetic retinopathy progression using deep learning.
Research Intern
2020-10 – 2021-02Lissi-UPEC, France
Driver attention level classification using multimodality and deep learning.
Research Intern
2020-03 – 2020-09CHU-Henri Mondor, France
Cancerous anomaly segmentation and detection on FDG-PET scans using a Bayesian framework.
Research Intern
2019-04 – 2019-09DKFZ, Germany
Deep learning in computer vision for head and neck bone segmentation in CT scans.
Selected Publications
- Zeghlache, R., et al. (2025). L-MAE: Longitudinal masked auto-encoder for diabetic retinopathy progression prediction. Computers in Biology and Medicine, 185, 109508.
- Zeghlache, R., et al. (2024). LATIM: Longitudinal representation learning for disease progression. MICCAI.
- Zeghlache, R., et al. (2023). Longitudinal self-supervised learning using neural ODEs. PRedictive Intelligence In MEdicine.
- Zeghlache, R., et al. (2023). LMT: Longitudinal mixing training from a single image. Machine Learning in Medical Imaging.
- Zeghlache, R., et al. (2022). Detection of diabetic retinopathy using longitudinal SSL. Ophthalmic Medical Image Analysis.
Awards and Honors
Best thesis (second price $500)
2025UBO
Award for conference participation
2024UBO
$500 grant for research on machine learning methods discovery.
Award for conference participation
2024IBSAM
$500 grant for research on machine learning methods for biological discovery.
Best poster presentation Award
2021OMIA-MICCAI
Skills and Expertise
Languages
- French (native)
- English (advanced)
- German (basics)
Technical
- Signal Processing
- Medical Imaging
- Image Processing
- Machine Learning
- Computer Vision
Programming
- Python (proficient)
- R
- Java
- C/C++
- C#
- Matlab
- LaTeX
Tools
- LaTeX
- Markdown
- Pandoc
- GitHub
Patents:
- Zeghlache, R., et al. (2023). Method and apparatus for predicting progression of a pathology. Patent No: EP23306730.5.
Reviewing Services
- Reviewer, IEEE Transactions on Medical Imaging
- Reviewer, Scientific Reports
- Reviewer, Computers in Biology and Medicine
- MICCAI, CLINICAI, MICCAI Challenge
- ISBI