82 citations · 88 across the 4 of their papers we have counts for
4 papers
Detection of diabetic retinopathy using longitudinal self-supervised learning
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +5
Longitudinal imaging is able to capture both static anatomical structures and dynamic changes in disease progression towards earlier and better patient-specific pathology managemen…
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis
Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard +3
In recent years, Artificial Intelligence (AI) has proven its relevance for medical decision support. However, the "black-box" nature of successful AI algorithms still holds back th…
Automatic detection of rare pathologies in fundus photographs using few-shot learning
Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze +2
In the last decades, large datasets of fundus photographs have been collected in diabetic retinopathy (DR) screening networks. Through deep learning, these datasets were used to tr…
Instant automatic diagnosis of diabetic retinopathy
Gwenolé Quellec, Mathieu Lamard, Bruno Lay +4
The purpose of this study is to evaluate the performance of the OphtAI system for the automatic detection of referable diabetic retinopathy (DR) and the automatic assessment of DR…