Fundus to Fluorescein Angiography Video Generation as a Retinal Generative Foundation Model
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Weiyi, Yang, Jiancheng, Chen, Ruoyu, Huang, Siyu, Xu, Pusheng, Chen, Xiaolan, Lu, Shanfu, Cao, Hongyu, He, Mingguang, Shi, Danli |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
by: Zhang, Weiyi, et al.
Published: (2024)
by: Zhang, Weiyi, et al.
Published: (2024)
UWF-RI2FA: Generating Multi-frame Ultrawide-field Fluorescein Angiography from Ultrawide-field Retinal Imaging Improves Diabetic Retinopathy Stratification
by: Chen, Ruoyu, et al.
Published: (2024)
by: Chen, Ruoyu, et al.
Published: (2024)
Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective
by: Chen, Xiaolan, et al.
Published: (2024)
by: Chen, Xiaolan, et al.
Published: (2024)
EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis
by: Chen, Ruoyu, et al.
Published: (2024)
by: Chen, Ruoyu, et al.
Published: (2024)
Evaluating large language models in medical applications: a survey
by: Chen, Xiaolan, et al.
Published: (2024)
by: Chen, Xiaolan, et al.
Published: (2024)
DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning
by: Xu, Pusheng, et al.
Published: (2025)
by: Xu, Pusheng, et al.
Published: (2025)
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging
by: Shi, Danli, et al.
Published: (2024)
by: Shi, Danli, et al.
Published: (2024)
Fundus2Globe: Generative AI-Driven 3D Digital Twins for Personalized Myopia Management
by: Shi, Danli, et al.
Published: (2025)
by: Shi, Danli, et al.
Published: (2025)
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat
by: Xu, Pusheng, et al.
Published: (2025)
by: Xu, Pusheng, et al.
Published: (2025)
Rethinking Diffusion-Based Image Generators for Fundus Fluorescein Angiography Synthesis on Limited Data
by: Yu, Chengzhou, et al.
Published: (2024)
by: Yu, Chengzhou, et al.
Published: (2024)
Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
by: Chen, Ruoyu, et al.
Published: (2024)
by: Chen, Ruoyu, et al.
Published: (2024)
EyeGPT: Ophthalmic Assistant with Large Language Models
by: Chen, Xiaolan, et al.
Published: (2024)
by: Chen, Xiaolan, et al.
Published: (2024)
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
by: Shi, Danli, et al.
Published: (2024)
by: Shi, Danli, et al.
Published: (2024)
EyeWorld: A Generative World Model of Ocular State and Dynamics
by: Gao, Ziyu, et al.
Published: (2026)
by: Gao, Ziyu, et al.
Published: (2026)
Smart Training of Alex Net using Fluorescein Angiography Fundus Images Implementing Selective Data Sampling
by: Shubham Chaudhary, et al.
Published: (2021)
by: Shubham Chaudhary, et al.
Published: (2021)
FFA Sora, video generation as fundus fluorescein angiography simulator
by: Wu, Xinyuan, et al.
Published: (2024)
by: Wu, Xinyuan, et al.
Published: (2024)
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement
by: Ge, Ruiquan, et al.
Published: (2024)
by: Ge, Ruiquan, et al.
Published: (2024)
Towards Interpretable Foundation Models for Retinal Fundus Images
by: Mensah, Samuel Ofosu, et al.
Published: (2026)
by: Mensah, Samuel Ofosu, et al.
Published: (2026)
EyeAgent: An Agentic AI System for Multimodal Clinical Decision Support in Ophthalmology
by: Shi, Danli, et al.
Published: (2025)
by: Shi, Danli, et al.
Published: (2025)
ChatMyopia: An AI Agent for Pre-consultation Education in Primary Eye Care Settings
by: Wu, Yue, et al.
Published: (2025)
by: Wu, Yue, et al.
Published: (2025)
AI-powered virtual eye: perspective, challenges and opportunities
by: Wu, Yue, et al.
Published: (2025)
by: Wu, Yue, et al.
Published: (2025)
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
by: Chen, Ze, et al.
Published: (2024)
by: Chen, Ze, et al.
Published: (2024)
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
by: Wu, Ruiqi, et al.
Published: (2024)
by: Wu, Ruiqi, et al.
Published: (2024)
Category‐Specific Uncertainty Learning for Retinal Disease Diagnosis
by: Lingyi Chu, et al.
Published: (2026)
by: Lingyi Chu, et al.
Published: (2026)
GenMed: A Pairwise Generative Reformulation of Medical Diagnostic Tasks
by: Zhang, Hantao, et al.
Published: (2026)
by: Zhang, Hantao, et al.
Published: (2026)
MagicFight: Personalized Martial Arts Combat Video Generation
by: Huang, Jiancheng, et al.
Published: (2026)
by: Huang, Jiancheng, et al.
Published: (2026)
VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement
by: Dong, Xuanzhao, et al.
Published: (2025)
by: Dong, Xuanzhao, et al.
Published: (2025)
APTOS-2024 challenge report: Generation of synthetic 3D OCT images from fundus photographs
by: Liu, Bowen, et al.
Published: (2025)
by: Liu, Bowen, et al.
Published: (2025)
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
by: Faria, Fatema Tuj Johora, et al.
Published: (2024)
by: Faria, Fatema Tuj Johora, et al.
Published: (2024)
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition
by: Zhang, Weiyi, et al.
Published: (2025)
by: Zhang, Weiyi, et al.
Published: (2025)
M4V: Multi-Modal Mamba for Text-to-Video Generation
by: Huang, Jiancheng, et al.
Published: (2025)
by: Huang, Jiancheng, et al.
Published: (2025)
Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement
by: Dong, Xuanzhao, et al.
Published: (2026)
by: Dong, Xuanzhao, et al.
Published: (2026)
FundusGAN: A Hierarchical Feature-Aware Generative Framework for High-Fidelity Fundus Image Generation
by: Hou, Qingshan, et al.
Published: (2025)
by: Hou, Qingshan, et al.
Published: (2025)
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)
by: Dong, Xuanzhao, et al.
Published: (2024)
AI in ophthalmology: From invisible to visible
by: Mingguang He
Published: (2024)
by: Mingguang He
Published: (2024)
FunduSegmenter: Leveraging the RETFound Foundation Model for Joint Optic Disc and Optic Cup Segmentation in Retinal Fundus Images
by: Zhao, Zhenyi, et al.
Published: (2025)
by: Zhao, Zhenyi, et al.
Published: (2025)
Development of a Mobile Application for at-Home Analysis of Retinal Fundus Images
by: Reid, Mattea, et al.
Published: (2025)
by: Reid, Mattea, et al.
Published: (2025)
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
by: Vasa, Vamsi Krishna, et al.
Published: (2024)
by: Vasa, Vamsi Krishna, et al.
Published: (2024)
TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)
by: Dong, Xuanzhao, et al.
Published: (2024)
Empowering Locally Deployable Medical Agent via State Enhanced Logical Skills for FHIR-based Clinical Tasks
by: Yang, Wanrong, et al.
Published: (2026)
by: Yang, Wanrong, et al.
Published: (2026)
Similar Items
-
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
by: Zhang, Weiyi, et al.
Published: (2024) -
UWF-RI2FA: Generating Multi-frame Ultrawide-field Fluorescein Angiography from Ultrawide-field Retinal Imaging Improves Diabetic Retinopathy Stratification
by: Chen, Ruoyu, et al.
Published: (2024) -
Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective
by: Chen, Xiaolan, et al.
Published: (2024) -
EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis
by: Chen, Ruoyu, et al.
Published: (2024) -
Evaluating large language models in medical applications: a survey
by: Chen, Xiaolan, et al.
Published: (2024)