174 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Westlake UniversityCN3 papers
- Zhejiang UniversityCN3 papers
- First Affiliated Hospital Zhejiang UniversityCN2 papers
- Peking UniversityCN2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Affiliated Hospital of Guizhou Medical UniversityCN1 paper
- Alibaba Group (China)CN1 paper
- Blood Center of Zhejiang ProvinceCN1 paper
- Changzhou UniversityCN1 paper
- Duke UniversityUS1 paper
- Guangdong Medical CollegeCN1 paper
- Guangzhou Medical UniversityCN1 paper
12 papers
MLB: A Scenario-Driven Benchmark for Evaluating Large Language Models in Clinical Applications
Qing He, Dongsheng Bi, Jianrong Lu +20
The proliferation of Large Language Models (LLMs) presents transformative potential for healthcare, yet practical deployment is hindered by the absence of frameworks that assess re…
Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra
Ziyi Zeng, Yun-Hsuan Chen, Xurong Gao +8
The impact of repetitive transcranial magnetic stimulation (rTMS) on methamphetamine (METH) users' craving levels is often assessed using questionnaires. This study explores the fe…
Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
Ran Tong, Lanruo Wang, Tong Wang +1
Longitudinal voice biomarkers provide a non-invasive source of information for monitoring Parkinson's disease progression, but their statistical analysis is difficult because repea…
Poststroke rehabilitative mechanisms in individualized fatigue level-controlled treadmill training -- a Rat Model Study
Yuchen Xu, Yulong Peng, Yuanfa Yao +6
Individualized training improved post-stroke motor function rehabilitation efficiency. However, the mechanisms of how individualized training facilitates recovery is not clear. Thi…
Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study
Zhengyao Ding, Ziyu Li, Yujian Hu +17
Cardiovascular diseases (CVDs) are the leading cause of global mortality, necessitating accessible and accurate diagnostic tools. While cardiac magnetic resonance imaging (CMR) pro…
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Ke Wang, Zanting Ye, Xiang Xie +3
Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent…
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance
Jiehui Zhou, Xumeng Wang, Jie Wang +7
Collusive fraud, in which multiple fraudsters collude to defraud health insurance funds, threatens the operation of the healthcare system. However, existing statistical and machine…
Single multimode fiber for in vivo light-field encoded nano-imaging
Zhong Wen, Zhenyu Dong, Chenlei Pang +9
Super-resolution microscopy normally requiring complex and cumbersome optics is not applicable for in situ imaging through a narrow channel. Here, we demonstrate single hair-thin m…
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
Yankun Xu, Jie Yang, Shiqi Zhao +2
An accurate seizure prediction system enables early warnings before seizure onset of epileptic patients. It is extremely important for drug-refractory patients. Conventional seizur…
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble
Ruiqing Ding, Yu Zhou, Jie Xu +7
Leveraging machine learning techniques for Sepsis early detection and diagnosis has attracted increasing interest in recent years. However, most existing methods require a large am…
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
Yiming Bao, Jun Wang, Tong Li +4
The early diagnosis and screening of glaucoma are important for patients to receive treatment in time and maintain eyesight. Nowadays, deep learning (DL) based models have been suc…
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Hongjiang Wei, Steven Cao, Yuyao Zhang +4
Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility from MRI gradient-echo phase signal and typically requires several processing step…