4 citations · 5 across the 9 of their papers we have counts for
6 papers · 1 filter
Fundus2Globe: Generative AI-Driven 3D Digital Twins for Personalized Myopia Management
Danli Shi, Bowen Liu, Zhen Tian +6
Myopia, projected to affect 50% population globally by 2050, is a leading cause of vision loss. Eyes with pathological myopia exhibit distinctive shape distributions, which are clo…
EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis
Ruoyu Chen, Weiyi Zhang, Bowen Liu +5
The rising prevalence of vision-threatening retinal diseases poses a significant burden on the global healthcare systems. Deep learning (DL) offers a promising solution for automat…
Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective
Xiaolan Chen, Ruoyu Chen, Pusheng Xu +4
Accurate diagnosis of ophthalmic diseases relies heavily on the interpretation of multimodal ophthalmic images, a process often time-consuming and expertise-dependent. Visual Quest…
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
Weiyi Zhang, Siyu Huang, Jiancheng Yang +5
Fundus Fluorescein Angiography (FFA) is a critical tool for assessing retinal vascular dynamics and aiding in the diagnosis of eye diseases. However, its invasive nature and less a…
UWF-RI2FA: Generating Multi-frame Ultrawide-field Fluorescein Angiography from Ultrawide-field Retinal Imaging Improves Diabetic Retinopathy Stratification
Ruoyu Chen, Kezheng Xu, Kangyan Zheng +4
Ultrawide-field fluorescein angiography (UWF-FA) facilitates diabetic retinopathy (DR) detection by providing a clear visualization of peripheral retinal lesions. However, the intr…
Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
Ruoyu Chen, Ziwei Zhao, Mayinuer Yusufu +3
Human-in-the-loop (HITL) strategy has been recently introduced into the field of medical image processing. Indocyanine green angiography (ICGA) stands as a well-established examina…