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20232025
most citedImproved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

21 citations · 40 across the 5 of their papers we have counts for

collaborators

5 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…

eess.IV2025

Context-Aware Vision Language Foundation Models for Ocular Disease Screening in Retinal Images

Lucie Berger, Mathieu Lamard, Philippe Zhang +6

Foundation models are large-scale versatile systems trained on vast quantities of diverse data to learn generalizable representations. Their adaptability with minimal fine-tuning m…

eess.IV2024★ 1 cited

A Systematic Review of Generalization Research in Medical Image Classification

Sarah Matta, Mathieu Lamard, Philippe Zhang +4

Numerous Deep Learning (DL) classification models have been developed for a large spectrum of medical image analysis applications, which promises to reshape various facets of medic…

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.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…