Xiangnan Feng
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View article: Early prediction of ventricular fibrillation through continuous ECG analysis and machine learning techniques
Early prediction of ventricular fibrillation through continuous ECG analysis and machine learning techniques Open
Purpose Ventricular fibrillation (VF) is a life-threatening arrhythmia in which timely intervention is critical to prevent sudden cardiac death (SCD). Early prediction can improve survival rates by enabling pre-emptive clinical actions or …
View article: Bayesian Structural Equation Envelope Model
Bayesian Structural Equation Envelope Model Open
The envelope model has gained significant attention since its proposal, offering a fresh perspective on dimension reduction in multivariate regression models and improving estimation efficiency. One of its appealing features is its adaptab…
View article: Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detection
Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detection Open
The combination of tube current reduction with a novel real-time DLIR algorithm enabled ULD abdominal CT to achieve a 73.3% reduction in the radiation dose while maintaining image quality and diagnostic performance for detecting hepatic le…
View article: Probabilistic Time Series Forecasting via Diffusion Models under Multi-Scale Guidance
Probabilistic Time Series Forecasting via Diffusion Models under Multi-Scale Guidance Open
View article: A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose iterative reconstruction for comprehensive lesion detection in dual-energy computed tomography
A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose iterative reconstruction for comprehensive lesion detection in dual-energy computed tomography Open
VMIs at 40 keV with DLIR enables a 50% decrease in the radiation dose while largely maintaining diagnostic capabilities for multidetection of pulmonary nodules, lymph nodes, and liver lesions in oncology patients.
View article: The Cause Analysis and Teaching Countermeasures of English-Speaking Anxiety Among Chinese University Students in The Context of Educational Psychology
The Cause Analysis and Teaching Countermeasures of English-Speaking Anxiety Among Chinese University Students in The Context of Educational Psychology Open
Chinese university students often approach the English language learning process from a test-taking perspective and lack speaking skills. English-speaking anxiety is an issue that cannot be ignored when it comes to developing students' Eng…
View article: TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective Open
Determining causal effects of temporal multi-intervention assists decision-making. Restricted by time-varying bias, selection bias, and interactions of multiple interventions, the disentanglement and estimation of multiple treatment effect…
View article: Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process Open
Most real-world networks suffer from incompleteness or incorrectness, which is an inherent attribute to real-world datasets. As a consequence, those downstream machine learning tasks in complex network like community detection methods may …
View article: Mediation effects of online public attention on the relationship between air pollution and precautionary behavior
Mediation effects of online public attention on the relationship between air pollution and precautionary behavior Open
This study investigates the mediation effects of online public attention on the relationship between air pollution and precautionary behavior based on a merged real-world data set that includes daily air quality, Internet search and media …
View article: Bayesian Scalar on Image Regression With Nonignorable Nonresponse
Bayesian Scalar on Image Regression With Nonignorable Nonresponse Open
Medical imaging has become an increasingly important tool in screening, diagnosis, prognosis, and treatment of various diseases given its information visualization and quantitative assessment. The aim of this article is to develop a Bayesi…
View article: Research of Motif-Based Similarity for Link Prediction Problem
Research of Motif-Based Similarity for Link Prediction Problem Open
The link prediction problem in the network concerns to predict the existence of links between node pairs, which is a research hotspot in different scenarios with network applications. Methods of predicting links based on network topology a…
View article: Bayesian Scalar on Image Regression With Nonignorable Nonresponse
Bayesian Scalar on Image Regression With Nonignorable Nonresponse Open
Medical imaging has become an increasingly important tool in screening, diagnosis, prognosis, and treatment of various diseases given its information visualization and quantitative assessment. The aim of this article is to develop a Bayesi…
View article: Research on Centralities Based on von Neumann Entropy for Nodes and Motifs
Research on Centralities Based on von Neumann Entropy for Nodes and Motifs Open
When analyzing the statistical and topological characteristics of complex networks, an effective and convenient way is to compute the centralities for recognizing influential and significant nodes or structures. Centralities for nodes are …
View article: Characterizing the Structure of the Railway Network in China: A Complex Weighted Network Approach
Characterizing the Structure of the Railway Network in China: A Complex Weighted Network Approach Open
Understanding the structure of the Chinese railway network (CRN) is crucial for maintaining its efficiency and planning its future development. To advance our knowledge of CRN, we modeled CRN as a complex weighted network and explored the …
View article: Bayesian Scalar on Image Regression With Nonignorable Nonresponse
Bayesian Scalar on Image Regression With Nonignorable Nonresponse Open
Medical imaging has become an increasingly important tool in screening, diagnosis, prognosis, and treatment of various diseases given its information visualization and quantitative assessment. The aim of this article is to develop a Bayesi…
View article: Correlation Research of Centralities on Complex Network by Statistical Learning
Correlation Research of Centralities on Complex Network by Statistical Learning Open
In network theory and network analysis, indicators of centrality identify the most important vertices on complex networks. In this paper, we perform analysis on correlations of 13 centralities on ER random network and research how the Radi…
View article: Descriptive Epidemiology of Anorectal Malformations in Chinese Population
Descriptive Epidemiology of Anorectal Malformations in Chinese Population Open
Over a twelve year period one hundred and five neonates (30 females) with an anorectal malformation (ARM) were studied at a tertiary referral centre in Hong Kong. A perineal fistula was the most frequent presentation of ARM in males closel…
View article: Exploring the Node Importance Based on von Neumann Entropy
Exploring the Node Importance Based on von Neumann Entropy Open
When analyzing the statistical and topological characteristics of complex networks, an effective and convenient way is to compute the centralities for recognizing influential and significant nodes or structures, yet most of them are restri…
View article: Iterative reconstruction in single-source dual-energy CT angiography: feasibility of low and ultra-low volume contrast medium protocols
Iterative reconstruction in single-source dual-energy CT angiography: feasibility of low and ultra-low volume contrast medium protocols Open
Objective: To evaluate the feasibility of using contrast medium (CM) of low and ultra-low volumes and injection rates in aortic CT angiography (CTA) through the joint application of single-source dual-energy CT (ssDECT) and adaptive statis…