62 citations · 74 across the 6 of their papers we have counts for
6 papers
Towards Deconfounded Image-Text Matching with Causal Inference
Wenhui Li, Xinqi Su, Dan Song +3
Prior image-text matching methods have shown remarkable performance on many benchmark datasets, but most of them overlook the bias in the dataset, which exists in intra-modal and i…
Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit
Weizhi Nie, Yuhe Yu, Chen Zhang +3
In recent years, medical information technology has made it possible for electronic health record (EHR) to store fairly complete clinical data. This has brought health care into th…
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance
Weizhi Nie, Chen Zhang, Dan Song +4
The chest X-ray is often utilized for diagnosing common thoracic diseases. In recent years, many approaches have been proposed to handle the problem of automatic diagnosis based on…
Chest X-ray Image Classification: A Causal Perspective
Weizhi Nie, Chen Zhang, Dan Song +4
The chest X-ray (CXR) is one of the most common and easy-to-get medical tests used to diagnose common diseases of the chest. Recently, many deep learning-based methods have been pr…
Instrumental Variable Learning for Chest X-ray Classification
Weizhi Nie, Chen Zhang, Dan song +3
The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesses, but the challenge of achieving accurate automatic diagnosis through this method persists due to the compl…
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Yue Zhang, Chengtao Peng, Qiuli Wang +3
Multi-modal medical images provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption a…