123 citations · 187 across the 10 of their papers we have counts for
10 papers
Graphine: A Dataset for Graph-aware Terminology Definition Generation
Zequn Liu, Shukai Wang, Yiyang Gu +3
Precisely defining the terminology is the first step in scientific communication. Developing neural text generation models for definition generation can circumvent the labor-intens…
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Jiafa He, Chengwei Pan, Can Yang +4
Automatic blood vessel extraction from 3D medical images is crucial for vascular disease diagnoses. Existing methods based on convolutional neural networks (CNNs) may suffer from d…
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
Yicheng Wu, Chengwei Pan, Shuqi Wang +3
Analyzing the morphological attributes of blood vessels plays a critical role in the computer-aided diagnosis of many cardiovascular and ophthalmologic diseases. Although being ext…
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
Luchen Liu, Zequn Liu, Haoxian Wu +4
Mortality prediction of diverse rare diseases using electronic health record (EHR) data is a crucial task for intelligent healthcare. However, data insufficiency and the clinical d…
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications
Zequn Liu, Ruiyi Zhang, Yiping Song +2
Model-Agnostic Meta-Learning (MAML), a model-agnostic meta-learning method, is successfully employed in NLP applications including few-shot text classification and multi-domain low…
Predictive Multi-level Patient Representations from Electronic Health Records
Zichang Wang, Haoran Li, Luchen Liu +2
The advent of the Internet era has led to an explosive growth in the Electronic Health Records (EHR) in the past decades. The EHR data can be regarded as a collection of clinical e…
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation
Luchen Liu, Haoxian Wu, Zichang Wang +2
Sepsis is a life-threatening condition that seriously endangers millions of people over the world. Hopefully, with the widespread availability of electronic health records (EHR), p…
Neural Correction Model for Open-Domain Named Entity Recognition
Mengdi Zhu, Zheye Deng, Wenhan Xiong +3
Named Entity Recognition (NER) plays an important role in a wide range of natural language processing tasks, such as relation extraction, question answering, etc. However, previous…
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction
Luchen Liu, Haoran Li, Zhiting Hu +4
Clinical outcome prediction based on the Electronic Health Record (EHR) plays a crucial role in improving the quality of healthcare. Conventional deep sequential models fail to cap…
Towards Automated ICD Coding Using Deep Learning
Haoran Shi, Pengtao Xie, Zhiting Hu +2
International Classification of Diseases(ICD) is an authoritative health care classification system of different diseases and conditions for clinical and management purposes. Consi…