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20222025
most citedImproved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

21 citations · 53 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CV2025

Patch Progression Masked Autoencoder with Fusion CNN Network for Classifying Evolution Between Two Pairs of 2D OCT Slices

Philippe Zhang, Weili Jiang, Yihao Li +13

Age-related Macular Degeneration (AMD) is a prevalent eye condition affecting visual acuity. Anti-vascular endothelial growth factor (anti-VEGF) treatments have been effective in s…

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.CV2024★ 1 cited

A review of deep learning-based information fusion techniques for multimodal medical image classification

Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze +6

Multimodal medical imaging plays a pivotal role in clinical diagnosis and research, as it combines information from various imaging modalities to provide a more comprehensive under…

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…

eess.IV2024★ 18 cited

DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis

Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache +12

Diabetic Retinopathy (DR), an ocular complication of diabetes, is a leading cause of blindness worldwide. Traditionally, DR is monitored using Color Fundus Photography (CFP), a wid…

eess.IV2024

Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction

Yihao Li, Philippe Zhang, Yubo Tan +7

Myopic macular degeneration is the most common complication of myopia and the primary cause of vision loss in individuals with pathological myopia. Early detection and prompt treat…

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.IV2023★ 21 cited

Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache +12

Diabetic Retinopathy (DR), a prevalent and severe complication of diabetes, affects millions of individuals globally, underscoring the need for accurate and timely diagnosis. Recen…

eess.IV2023★ 2 cited

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images

Bo Qian, Hao Chen, Xiangning Wang +18

Computer-assisted automatic analysis of diabetic retinopathy (DR) is of great importance in reducing the risks of vision loss and even blindness. Ultra-wide optical coherence tomog…

eess.IV2023

Multimodal Information Fusion For The Diagnosis Of Diabetic Retinopathy

Yihao Li, Hassan Al Hajj, Pierre-Henri Conze +8

Diabetes is a chronic disease characterized by excess sugar in the blood and affects 422 million people worldwide, including 3.3 million in France. One of the frequent complication…

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…