1 citations · 1 across the 8 of their papers we have counts for
8 papers
Forgetting-Resistant and Lesion-Aware Source-Free Domain Adaptive Fundus Image Analysis with Vision-Language Model
Zheang Huai, Hui Tang, Hualiang Wang +1
Source-free domain adaptation (SFDA) aims to adapt a model trained in the source domain to perform well in the target domain, with only unlabeled target domain data and the source…
Grounded by Experience: Generative Healthcare Prediction Augmented with Hierarchical Agentic Retrieval
Chuang Zhao, Hui Tang, Hongke Zhao +2
Accurate healthcare prediction is critical for improving patient outcomes and reducing operational costs. Bolstered by growing reasoning capabilities, large language models (LLMs)…
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
Chuang Zhao, Hui Tang, Hongke Zhao +1
Advanced healthcare predictions offer significant improvements in patient outcomes by leveraging predictive analytics. Existing works primarily utilize various views of Electronic…
Concept-Based Unsupervised Domain Adaptation
Xinyue Xu, Yueying Hu, Hui Tang +4
Concept Bottleneck Models (CBMs) enhance interpretability by explaining predictions through human-understandable concepts but typically assume that training and test data share the…
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
Zheang Huai, Hui Tang, Yi Li +2
Source-free domain adaptation (SFDA) for segmentation aims at adapting a model trained in the source domain to perform well in the target domain with only the source model and unla…
DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation
Shanshan Song, Hui Tang, Honglong Yang +1
Radiology Report Generation (RRG) automates the creation of radiology reports from medical imaging, enhancing the efficiency of the reporting process. Longitudinal Radiology Report…
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
Chuang Zhao, Hui Tang, Jiheng Zhang +1
Accurate healthcare prediction is essential for improving patient outcomes. Existing work primarily leverages advanced frameworks like attention or graph networks to capture the in…
FITA: Fine-grained Image-Text Aligner for Radiology Report Generation
Honglong Yang, Hui Tang, Xiaomeng Li
Radiology report generation aims to automatically generate detailed and coherent descriptive reports alongside radiology images. Previous work mainly focused on refining fine-grain…