1 citations · 1 across the 4 of their papers we have counts for
5 papers
A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data
Yinong Wang, Jianwen Chen, Zhou Chen +28
We developed BrainVLM to classify all 12 World Health Organization (WHO) 2021 brain tumor types. BrainVLM integrates an uncertainty quantification strategy to indicate prediction r…
Agentic AI-powered flexible fiber-bundle endoscopy for high-resolution NIR-II fluorescence imaging in vivo
Yanzhao Shi, Yuanhua Liu, Sixin Xu +10
Fiber-bundle endoscopy offers a compact and flexible route for clinical fluorescence imaging through natural human orifices, but since its first report in the 1950s, it has remaine…
HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding
Yanzhao Shi, Xiaodan Zhang, Junzhong Ji +4
Automated 3D CT diagnosis empowers clinicians to make timely, evidence-based decisions by enhancing diagnostic accuracy and workflow efficiency. While multimodal large language mod…
MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation
Xiaodan Zhang, Yanzhao Shi, Junzhong Ji +2
The automatic generation of brain CT reports has gained widespread attention, given its potential to assist radiologists in diagnosing cranial diseases. However, brain CT scans inv…
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning
Chengxin Zheng, Junzhong Ji, Yanzhao Shi +2
Brain CT report generation is significant to aid physicians in diagnosing cranial diseases. Recent studies concentrate on handling the consistency between visual and textual pathol…