39 citations · 45 across the 9 of their papers we have counts for
8 papers · 1 filter
RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection
Wenjun Hou, Yi Cheng, Kaishuai Xu +4
Large language models (LLMs) have demonstrated remarkable capabilities in various domains, including radiology report generation. Previous approaches have attempted to utilize mult…
Hierarchical Context Transformer for Multi-level Semantic Scene Understanding
Luoying Hao, Yan Hu, Yang Yue +4
A comprehensive and explicit understanding of surgical scenes plays a vital role in developing context-aware computer-assisted systems in the operating theatre. However, few works…
Memory-Augmented Multimodal LLMs for Surgical VQA via Self-Contained Inquiry
Wenjun Hou, Yi Cheng, Kaishuai Xu +3
Comprehensively understanding surgical scenes in Surgical Visual Question Answering (Surgical VQA) requires reasoning over multiple objects. Previous approaches address this task u…
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
Heng Li, Haojin Li, Jianyu Chen +3
Deep learning models often encounter challenges in making accurate inferences when there are domain shifts between the source and target data. This issue is particularly pronounced…
Instrument-tissue Interaction Detection Framework for Surgical Video Understanding
Wenjun Lin, Yan Hu, Huazhu Fu +5
Instrument-tissue interaction detection task, which helps understand surgical activities, is vital for constructing computer-assisted surgery systems but with many challenges. Firs…
ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation
Wenjun Hou, Yi Cheng, Kaishuai Xu +3
Previous research on radiology report generation has made significant progress in terms of increasing the clinical accuracy of generated reports. In this paper, we emphasize anothe…
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
Haili Ye, Xiaoqing Zhang, Yan Hu +2
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Deep network-based refin…
ACT-Net: Anchor-context Action Detection in Surgery Videos
Luoying Hao, Yan Hu, Wenjun Lin +5
Recognition and localization of surgical detailed actions is an essential component of developing a context-aware decision support system. However, most existing detection algorith…