activity
20202026
most citedOCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study

21 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

GO-MLVTON: Garment Occlusion-Aware Multi-Layer Virtual Try-On with Diffusion Models

Yang Yu, Yunze Deng, Yige Zhang +8

Existing image-based virtual try-on (VTON) methods primarily focus on single-layer or multi-garment VTON, neglecting multi-layer VTON (ML-VTON), which involves dressing multiple la…

eess.IV2023

Learn Single-horizon Disease Evolution for Predictive Generation of Post-therapeutic Neovascular Age-related Macular Degeneration

Yuhan Zhang, Kun Huang, Mingchao Li +2

Most of the existing disease prediction methods in the field of medical image processing fall into two classes, namely image-to-category predictions and image-to-parameter predicti…

eess.IV2022★ 1 cited

Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation

Mingchao Li, Kun Huang, Zetian Zhang +2

You can have your cake and eat it too. Microvessel segmentation in optical coherence tomography angiography (OCTA) images remains challenging. Skeleton-level segmentation shows cle…

eess.IV2021

Image Magnification Network for Vessel Segmentation in OCTA Images

Mingchao Li, Yerui Chen, Weiwei Zhang +1

Optical coherence tomography angiography (OCTA) is a novel non-invasive imaging modality that allows micron-level resolution to visualize the retinal microvasculature. The retinal…

eess.IV2020★ 21 cited

OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study

Mingchao Li, Kun Huang, Qiuzhuo Xu +7

Optical coherence tomography angiography (OCTA) is a novel imaging modality that has been widely utilized in ophthalmology and neuroscience studies to observe retinal vessels and m…