Publications by authors named "Shengxian Ding"
Article Synopsis
- Mediation analysis is a valuable tool in neuroscience for understanding how intermediary variables from neuroimaging data influence outcomes, often using structural equation models (SEMs) that assume linear relationships.
- However, there's a gap in research regarding the use of shape space-derived mediators in SEMs, and the linear assumption can reduce accuracy in practical applications.
- The new framework developed for shape mediation analysis addresses these issues by introducing a two-layer shape regression model, allowing for better exploration of relationships between genetic factors, clinical outcomes, and shape-related variables, showing improved accuracy in simulations and real data compared to traditional methods.
Predicting the eventual volume of tumor cells, that might proliferate from a given tumor, can help in cancer early detection and medical procedure planning to prevent their migration to other organs. In this work, a new statistical framework is proposed using Bayesian techniques for detecting the eventual volume of cells expected to proliferate from a glioblastoma (GBM) tumor. Specifically, the tumor region was first extracted using a parallel image segmentation algorithm.
View Article and Find Full Text PDFLMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection.
IEEE Trans Neural Netw Learn Syst
May 2024
The partial discharge (PD) detection is of critical importance in the stability and continuity of power distribution operations. Although several feature engineering methods have been developed to refine and improve PD detection accuracy, they can be suboptimal due to several major issues: 1) failure in identifying fault-related pulses; 2) the lack of inner-phase temporal representation; and 3) multiscale feature integration. The aim of this article is to develop a learning-based multiscale feature engineering (LMFE) framework for PD detection of each signal in a three-phase power system, while addressing the above issues.
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