Cover Image

MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Ruiqi, Zhang, Chenran, Zhang, Jianle, Zhou, Yi, Zhou, Tao, Fu, Huazhu
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining
by: Wu, Ruiqi, et al.
Published: (2025)

MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration
by: Zhang, Chenran, et al.
Published: (2026)

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities
by: Yao, Yuang, et al.
Published: (2025)

Enhancing Medical Visual Grounding via Knowledge-guided Spatial Prompts
by: Gao, Yifan, et al.
Published: (2026)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2024)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation
by: Gu, Yunqi, et al.
Published: (2023)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)

Fundus Image-based Glaucoma Screening via Retinal Knowledge-Oriented Dynamic Multi-Level Feature Integration
by: Zhou, Yuzhuo, et al.
Published: (2026)

Towards Interpretable Foundation Models for Retinal Fundus Images
by: Mensah, Samuel Ofosu, et al.
Published: (2026)

Fundus to Fluorescein Angiography Video Generation as a Retinal Generative Foundation Model
by: Zhang, Weiyi, et al.
Published: (2024)

MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images
by: Wang, Lehan, et al.
Published: (2024)

Fundus Image Quality Assessment and Enhancement: a Systematic Review
by: Li, Heng, et al.
Published: (2025)

A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends
by: Mei, Jiaxin, et al.
Published: (2023)

RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving
by: Luo, Zhengquan, et al.
Published: (2025)

RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
by: Chen, Ze, et al.
Published: (2024)

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement
by: Xiong, Yujian, et al.
Published: (2026)

FundusGAN: A Hierarchical Feature-Aware Generative Framework for High-Fidelity Fundus Image Generation
by: Hou, Qingshan, et al.
Published: (2025)

Deep Expert Injection for Anchoring Retinal VLMs with Domain-Specific Knowledge
by: Lu, Shuai, et al.
Published: (2026)

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)

Development of a Mobile Application for at-Home Analysis of Retinal Fundus Images
by: Reid, Mattea, et al.
Published: (2025)

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement
by: Dong, Xuanzhao, et al.
Published: (2025)

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
by: Zhou, Xiao, et al.
Published: (2024)

Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement
by: Dong, Xuanzhao, et al.
Published: (2026)

FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
by: He, Along, et al.
Published: (2024)

Retinal Disease Classification from Fundus Images using CNN Transfer Learning
by: Akram, Ali
Published: (2026)

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
by: Vasa, Vamsi Krishna, et al.
Published: (2024)

IRFundusSet: An Integrated Retinal Fundus Dataset with a Harmonized Healthy Label
by: Githinji, P. Bilha, et al.
Published: (2024)

Prediction of Cardiovascular Risk Factors from Retinal Fundus Images using CNNs
by: Prenner, Andrea
Published: (2024)

Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning
by: Degerli, Aysen, et al.
Published: (2025)

CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement
by: Dong, Xuanzhao, et al.
Published: (2024)

Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration
by: Zhou, Yuzhuo, et al.
Published: (2025)

Can Large Pretrained Depth Estimation Models Help With Image Dehazing?
by: Zhang, Hongfei, et al.
Published: (2025)

Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy
by: Silva-Rodriguez, Julio, et al.
Published: (2024)

SSP-RACL: Classification of Noisy Fundus Images with Self-Supervised Pretraining and Robust Adaptive Credal Loss
by: Ye, Mengwen, et al.
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)

ViLReF: An Expert Knowledge Enabled Vision-Language Retinal Foundation Model
by: Yang, Shengzhu, et al.
Published: (2024)

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
by: Xie, Yuxin, et al.
Published: (2024)

Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model
by: Wang, Hongqiu, et al.
Published: (2024)