Zhiming Dai — accepted AI-conference papers

2024

Dynamic Knowledge Prompt for Chest X-ray Report Generation

Shenshen Bu, Yujie Song, Taiji Li, Zhiming Dai

COLING 2024main

Automatic generation of radiology reports can relieve the burden of radiologist. In the radiology library, the biased dataset and the sparse features of chest X-ray image make it difficult to generate reports. Many approaches strive to integrate prior information to enhance generation, but they fail…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗

2024

Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation

Shenshen Bu, Taiji Li, Yuedong Yang, Zhiming Dai

CVPR 2024poster

Automatic radiology report generation can provide substantial advantages to clinical physicians by effectively reducing their workload and improving efficiency. Despite the promising potential of current methods challenges persist in effectively extracting and preventing degradation of prominent fea…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗