activity
20222025
most citedGAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

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

collaborators

5 papers

cs.CV2025

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction

Lehan Wang, Hualiang Wang, Chubin Ou +3

Cardiovascular disease (CVD) remains the leading cause of death worldwide, requiring urgent development of effective risk assessment methods for timely intervention. While current…

cs.CV2025★ 1 cited

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation

Zhuangzhuang Chen, Hualiang Wang, Chubin Ou +1

Optical coherence tomography angiography (OCTA) shows its great importance in imaging microvascular networks by providing accurate 3D imaging of blood vessels, but it relies upon s…

cs.CV2024

MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images

Lehan Wang, Chongchong Qi, Chubin Ou +4

Existing multi-modal learning methods on fundus and OCT images mostly require both modalities to be available and strictly paired for training and testing, which appears less pract…

eess.IV2023★ 1 cited

Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images

Lehan Wang, Weihang Dai, Mei Jin +2

Optical Coherence Tomography (OCT) is a novel and effective screening tool for ophthalmic examination. Since collecting OCT images is relatively more expensive than fundus photogra…

cs.CV2022★ 3 cited

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

Junde Wu, Huihui Fang, Fei Li +26

Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images have prominent biomarker…