5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 5 cited
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens
Zhanyu Wang, Lingqiao Liu, Lei Wang +1
In clinical scenarios, multi-specialist consultation could significantly benefit the diagnosis, especially for intricate cases. This inspires us to explore a "multi-expert joint di…
cs.CV2023★ 2 cited
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder
Yunyi Liu, Zhanyu Wang, Dong Xu +1
Medical Visual Question Answering (VQA) systems play a supporting role to understand clinic-relevant information carried by medical images. The questions to a medical image include…
cs.CV2022★ 3 cited
A Medical Semantic-Assisted Transformer for Radiographic Report Generation
Zhanyu Wang, Mingkang Tang, Lei Wang +2
Automated radiographic report generation is a challenging cross-domain task that aims to automatically generate accurate and semantic-coherence reports to describe medical images.…