:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Zixuan, Honjaya, Aaron, Xu, Yuekai, Zhang, Yi, Pan, Hefu, Wang, Xin, Shapiro, Linda G, Wang, Sheng, Wang, Ruikang K
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2503.05991
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation
by: Hu, Dewei, et al.
Published: (2024)

WaveRNet: Wavelet-Guided Frequency Learning for Multi-Source Domain-Generalized Retinal Vessel Segmentation
by: Wang, Chanchan, et al.
Published: (2026)

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement
by: Dong, Xuanzhao, 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)

Universal Vessel Segmentation for Multi-Modality Retinal Images
by: Wen, Bo, et al.
Published: (2025)

FANet: Feature Aggregation Network With Dual Encoders for Fundus Retinal Vessel Segmentation
by: Linfeng Kong, et al.
Published: (2025)

Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance
by: Wang, Kunpeng, et al.
Published: (2024)

Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
by: Galati, Francesco, et al.
Published: (2025)

Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation
by: Chen, Xinrun, et al.
Published: (2024)

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
by: Ouyang, Yihao, et al.
Published: (2025)

MMSense: Adapting Vision-based Foundation Model for Multi-task Multi-modal Wireless Sensing
by: Li, Zhizhen, et al.
Published: (2025)

Convolutional Prompting for Broad-Domain Retinal Vessel Segmentation
by: Wei, Qijie, 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-based Glaucoma Screening via Retinal Knowledge-Oriented Dynamic Multi-Level Feature Integration
by: Zhou, Yuzhuo, et al.
Published: (2026)

HMS-VesselNet: Hierarchical Multi-Scale Attention Network with Topology-Preserving Loss for Retinal Vessel Segmentation
by: R, Amarnath
Published: (2026)

VIAssist: Adapting Multi-modal Large Language Models for Users with Visual Impairments
by: Yang, Bufang, et al.
Published: (2024)

WMKA-Net: A Weighted Multi-Kernel Attention Network for Retinal Vessel Segmentation
by: Xu, Xinran, et al.
Published: (2025)

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

Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization
by: Zhang, Yi, et al.
Published: (2026)

Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation
by: Misrahi, Alexandre, et al.
Published: (2025)

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
by: Wang, Xihang, et al.
Published: (2026)

DB-KAUNet: An Adaptive Dual Branch Kolmogorov-Arnold UNet for Retinal Vessel Segmentation
by: Xu, Hongyu, et al.
Published: (2025)

Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2025)

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes
by: Liang, Yujia, et al.
Published: (2025)

Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract
by: Xiao, Fan, et al.
Published: (2024)

Deformable Encoder–Decoder Network for Accurate Retinal Vessel Segmentation
by: Yue Danming, et al.
Published: (2026)

Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
by: Yang, Xiaoyu, et al.
Published: (2024)

BioVessel-Net and RetinaMix: Unsupervised Retinal Vessel Segmentation from OCTA Images
by: Huang, Cheng, et al.
Published: (2025)

Adapting Multi-objectivized Software Configuration Tuning
by: Chen, Tao, et al.
Published: (2024)

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

Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble Architectures
by: Singh, Deependra, et al.
Published: (2025)

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
by: Zhang, Zhen, et al.
Published: (2025)

LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
by: Ravichandran, Bharadwaj, et al.
Published: (2024)

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs
by: Chen, Haodong, et al.
Published: (2024)

MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval
by: Long, Zijun, et al.
Published: (2023)

ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach
by: Rodrigues, Erick O., et al.
Published: (2026)

Robust Multi-Disease Retinal Classification via Xception-Based Transfer Learning and W-Net Vessel Segmentation
by: Gholizadeh, Mohammad Sadegh, et al.
Published: (2025)

Retinal Vessel Segmentation via Neuron Programming
by: Wu, Tingting, et al.
Published: (2024)

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

BreakNet: Discontinuity-Resilient Multi-Scale Transformer Segmentation of Retinal Layers
by: Ganjee, Razieh, et al.
Published: (2024)