Rachid Youven Zeghlache

Research Engineer & AI Researcher ·

I am an AI researcher specialising in medical image analysis, multi-modal learning, and longitudinal deep learning for predictive medicine. My PhD focused on diabetic retinopathy progression prediction. I am also the creator of the Augmented Scholars newsletter and YouTube channel on using AI for making augmnented researcher.

Multi-modal LearningLongitudinal LearningPredictive MedicineMedical ImagingAgentic AI for Health
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Education

2021–2024

Ph.D. in Medical Image Analysis

University of Western Brittany (UBO) — LATIM, France

Thesis: Longitudinal follow-up and multi-modal analysis for prediction of diabetic retinopathy progression using deep learning

2020–2021

M.Sc. in Images and Signals for Medicine (SIM)

UPEC, France

2017–2020

Engineering Degree, Computer Science for Health

EPISEN, France

Recent Posts

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Selected Publications

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L-MAE: Longitudinal Masked Auto-Encoder for Diabetic Retinopathy Progression Prediction

Rachid Youven Zeghlache, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux

Computers in Biology and Medicine (CBM), 2025

DISCOVER: Development and Validation of a Deep Learning-Based Algorithm for Diabetic Retinopathy Progression Prediction

Rachid Youven Zeghlache, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Sophie Bonnin, Béatrice Cochener, Gouenou Coatrieux

AIM — Artificial Intelligence in Medicine, 2024

Deep Learning for Diabetic Retinopathy Screening — A Comprehensive Review

Rachid Youven Zeghlache, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux

Computers in Biology and Medicine (CBM), 2024