Buchumschlag

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Yu, Kai, Zhou, Yang, Bai, Yang, Da Soh, Zhi, Xu, Xinxing, Goh, Rick Siow Mong, Cheng, Ching-Yu, Liu, Yong
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Enhancing Community Vision Screening -- AI Driven Retinal Photography for Early Disease Detection and Patient Trust
von: Lei, Xiaofeng, et al.
Veröffentlicht: (2024)

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
von: Zhu, Lei, et al.
Veröffentlicht: (2025)

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training
von: Zhu, Lei, et al.
Veröffentlicht: (2025)

Aligning Medical Conversational AI through Online Reinforcement Learning with Information-Theoretic Rewards
von: Verma, Tanvi, et al.
Veröffentlicht: (2026)

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning
von: Feng, Chun-Mei, et al.
Veröffentlicht: (2025)

Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
von: Zhu, Lei, et al.
Veröffentlicht: (2025)

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
von: Bai, Yang, et al.
Veröffentlicht: (2024)

Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
von: Wang, Meng, et al.
Veröffentlicht: (2022)

How Interpretable are Reasoning Explanations from Prompting Large Language Models?
von: Yeo, Wei Jie, et al.
Veröffentlicht: (2024)

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
von: Zhou, Yang, et al.
Veröffentlicht: (2024)

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation
von: Gao, Bo, et al.
Veröffentlicht: (2025)

Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
von: Yew, Samantha Min Er, et al.
Veröffentlicht: (2025)

Reliable segmentation of multiple lesions from medical images
von: Meng Wang, et al.
Veröffentlicht: (2024)

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
von: Wang, Meng, et al.
Veröffentlicht: (2023)

Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models
von: Sun, Xiaobing, et al.
Veröffentlicht: (2026)

A New Perspective to Boost Performance Fairness for Medical Federated Learning
von: Yan, Yunlu, et al.
Veröffentlicht: (2024)

CPT: Consistent Proxy Tuning for Black-box Optimization
von: He, Yuanyang, et al.
Veröffentlicht: (2024)

Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
von: Zou, Ke, et al.
Veröffentlicht: (2023)

Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling
von: Wu, Bingjie, et al.
Veröffentlicht: (2025)

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
von: Huang, Zitong, et al.
Veröffentlicht: (2024)

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
von: Wang, Yuan, et al.
Veröffentlicht: (2024)

BriDe Arbitrager: Enhancing Arbitrage in Ethereum 2.0 via Bribery-enabled Delayed Block Production
von: Yang, Hulin, et al.
Veröffentlicht: (2024)

Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small
von: Wang, Zhehui, et al.
Veröffentlicht: (2024)

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
von: Peng, Danni, et al.
Veröffentlicht: (2025)

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
von: Peng, Danni, et al.
Veröffentlicht: (2025)

Secure and Explainable Fraud Detection in Finance via Hierarchical Multi-source Dataset Distillation
von: Qian, Yiming, et al.
Veröffentlicht: (2025)

Atomic Smart Contract Interoperability with High Efficiency via Cross-Chain Integrated Execution
von: Yin, Chaoyue, et al.
Veröffentlicht: (2025)

Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
von: Wang, Zhehui, et al.
Veröffentlicht: (2025)

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic
von: Gerlinghoff, Daniel, et al.
Veröffentlicht: (2024)

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
von: Jiao, Yifeng, et al.
Veröffentlicht: (2025)

Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration
von: Yin, Mengyuan, et al.
Veröffentlicht: (2025)

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting
von: Zhou, Xinxing, et al.
Veröffentlicht: (2024)

DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning
von: Kanagavelu, Renuga, et al.
Veröffentlicht: (2026)

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
von: Zhou, Baichuan, et al.
Veröffentlicht: (2024)

Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation
von: Feng, Chun-Mei, et al.
Veröffentlicht: (2024)

Class Balance Matters to Active Class-Incremental Learning
von: Huang, Zitong, et al.
Veröffentlicht: (2024)

History-Aware and Dynamic Client Contribution in Federated Learning
von: Ghosh, Bishwamittra, et al.
Veröffentlicht: (2024)

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

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

Generalist Reward Models: Found Inside Large Language Models
von: Li, Yi-Chen, et al.
Veröffentlicht: (2025)