activity
20202025
most citedCS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

36 citations · 48 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Weicheng Liao, Zan Chen, Jianyang Xie +3

Ultra-Wide-Field (UWF) retinal imaging has revolutionized retinal diagnostics by providing a comprehensive view of the retina. However, it often suffers from quality-degrading fact…

cs.CV2025

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Qinkai Yu, Jianyang Xie, Yitian Zhao +7

Multimodal ophthalmic imaging-based diagnosis integrates color fundus image with optical coherence tomography (OCT) to provide a comprehensive view of ocular pathologies. However,…

cs.CV2025

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading

Qinkai Yu, Wei Zhou, Hantao Liu +7

As a long-term complication of diabetes, diabetic retinopathy (DR) progresses slowly, potentially taking years to threaten vision. An accurate and robust evaluation of its severity…

eess.IV2023★ 12 cited

Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Shouyue Liu, Jinkui Hao, Yanwu Xu +7

Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer's disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use re…

eess.IV2020★ 36 cited

CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

Lei Mou, Yitian Zhao, Huazhu Fu +9

Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and biomedical images is a crucial early step in automatic image interpretation ass…