activity
20222025
most citedLongitudinal Self-supervised Learning Using Neural Ordinary Differential Equation

5 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO Challenge

Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze +47

The MARIO challenge, held at MICCAI 2024, focused on advancing the automated detection and monitoring of age-related macular degeneration (AMD) through the analysis of optical cohe…

cs.LG2024

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +9

This work proposes a novel framework for analyzing disease progression using time-aware neural ordinary differential equations (NODE). We introduce a "time-aware head" in a framewo…

cs.CV2024

L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction

Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +9

Pre-training strategies based on self-supervised learning (SSL) have proven to be effective pretext tasks for many downstream tasks in computer vision. Due to the significant dispa…

cs.CV2023★ 5 cited

Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation

Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +8

Longitudinal analysis in medical imaging is crucial to investigate the progressive changes in anatomical structures or disease progression over time. In recent years, a novel class…

eess.IV2023★ 4 cited

LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image

Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +8

Longitudinal imaging is able to capture both static anatomical structures and dynamic changes in disease progression toward earlier and better patient-specific pathology management…

eess.IV2022★ 2 cited

Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy

Yihao Li, Rachid Zeghlache, Ikram Brahim +6

Diabetic Retinopathy (DR) is a severe complication of diabetes that can cause blindness. Although effective treatments exist (notably laser) to slow the progression of the disease…

cs.CV2022

Mapping the ocular surface from monocular videos with an application to dry eye disease grading

Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef +4

With a prevalence of 5 to 50%, Dry Eye Disease (DED) is one of the leading reasons for ophthalmologist consultations. The diagnosis and quantification of DED usually rely on ocular…