26 citations · 51 across the 12 of their papers we have counts for
12 papers
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
Zhihong Chen, Maya Varma, Xiang Wan +2
Radiology report summarization (RRS) is a growing area of research. Given the Findings section of a radiology report, the goal is to generate a summary (called an Impression sectio…
Improving Radiology Summarization with Radiograph and Anatomy Prompts
Jinpeng Hu, Zhihong Chen, Yang Liu +2
The impression is crucial for the referring physicians to grasp key information since it is concluded from the findings and reasoning of radiologists. To alleviate the workload of…
Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
Zhihong Chen, Guanbin Li, Xiang Wan
Medical vision-and-language pre-training (Med-VLP) has received considerable attention owing to its applicability to extracting generic vision-and-language representations from med…
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
Zhihong Chen, Yuhao Du, Jinpeng Hu +4
Medical vision-and-language pre-training provides a feasible solution to extract effective vision-and-language representations from medical images and texts. However, few studies h…
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
Yang Liu, Jinpeng Hu, Xiang Wan +1
Few-Shot Relation Extraction aims at predicting the relation for a pair of entities in a sentence by training with a few labelled examples in each relation. Some recent works have…
Hero-Gang Neural Model For Named Entity Recognition
Jinpeng Hu, Yaling Shen, Yang Liu +2
Named entity recognition (NER) is a fundamental and important task in NLP, aiming at identifying named entities (NEs) from free text. Recently, since the multi-head attention mecha…
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
Jinpeng Hu, Zhuo Li, Zhihong Chen +3
The impression section of a radiology report summarizes the most prominent observation from the findings section and is the most important section for radiologists to communicate t…
Word Graph Guided Summarization for Radiology Findings
Jinpeng Hu, Jianling Li, Zhihong Chen +4
Radiology reports play a critical role in communicating medical findings to physicians. In each report, the impression section summarizes essential radiology findings. In clinical…
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
Wenwen Min, Taosheng Xu, Xiang Wan +1
Non-negative matrix factorization (NMF) is a powerful tool for dimensionality reduction and clustering. Unfortunately, the interpretation of the clustering results from NMF is diff…
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
Yuyang Nie, Yuanhe Tian, Yan Song +2
Named entity recognition (NER) is highly sensitive to sentential syntactic and semantic properties where entities may be extracted according to how they are used and placed in the…
Named Entity Recognition for Social Media Texts with Semantic Augmentation
Yuyang Nie, Yuanhe Tian, Xiang Wan +2
Existing approaches for named entity recognition suffer from data sparsity problems when conducted on short and informal texts, especially user-generated social media content. Sema…
Generating Radiology Reports via Memory-driven Transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang +1
Medical imaging is frequently used in clinical practice and trials for diagnosis and treatment. Writing imaging reports is time-consuming and can be error-prone for inexperienced r…