activity
20162026
most citedDeep image mining for diabetic retinopathy screening

526 citations · 783 across the 36 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

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…

eess.IV2022

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images

Hui Xu, Yihao Li, Wei Zhao +3

Automatic segmentation of head and neck cancer (HNC) tumors and lymph nodes plays a crucial role in the optimization treatment strategy and prognosis analysis. This study aims to e…

eess.IV2022★ 5 cited

Multimodal Information Fusion for Glaucoma and DR Classification

Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze +9

Multimodal information is frequently available in medical tasks. By combining information from multiple sources, clinicians are able to make more accurate judgments. In recent year…

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…

cs.CV2022

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…

cs.CR2022★ 2 cited

White-box Membership Attack Against Machine Learning Based Retinopathy Classification

Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec +1

The advances in machine learning (ML) have greatly improved AI-based diagnosis aid systems in medical imaging. However, being based on collecting medical data specific to individua…

eess.IV2022★ 80 cited

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

Huihui Fang, Fei Li, Huazhu Fu +28

Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss cause…