Wang Xiulin

Wang Xiulin
Affiliated Zhongshan Hospital of Dalian University · Department of Radiology

PhD

About

13
Publications
867
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52
Citations
Additional affiliations
September 2016 - June 2020
Dalian University of Technology
Position
  • PhD Student

Publications

Publications (13)
Article
Full-text available
Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc. However, NJD is used to retrieve the jointly diagonalizable structure for a single set of target matrices which are mostly formulized with a single dataset, and thus is insufficien...
Article
Full-text available
Epileptic seizure detection using scalp electroencephalogram (sEEG) and intracranial electroencephalogram (iEEG) has attracted widespread attention in recent two decades. The accurate and rapid detection of seizures not only reflects the efficiency of the algorithm, but also greatly reduces the burden of manual detection during long-term electroenc...
Article
Full-text available
Previous researches demonstrate that major depression disorder (MDD) is associated with widespread network dysconnectivity, and the dynamics of functional connectivity networks are important to delineate the neural mechanisms of MDD. Neural oscillations exert a key role in coordinating the activity of remote brain regions, and various assemblies of...
Article
Full-text available
Ongoing electroencephalography (EEG) signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study...
Article
Dysconnectivity of large-scale brain networks has been linked to major depression disorder (MDD) during resting state. Recent researches show that the temporal evolution of brain networks regulated by oscillations reveals novel mechanisms and neural characteristics of MDD. Our study applied a novel coupled tensor decomposition model to investigate...
Article
Full-text available
Objective To explore the value of a predictive model combining the multiparametric magnetic resonance imaging (mpMRI) radiomics score (RAD-score), clinicopathologic features, and morphologic features for the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in invasive breast carcinoma of no specific type (IBC-NST). Methods We...
Chapter
Functional connectivity (FC) patterns in human brain are dynamic in a task-specific condition, and identifying the dynamic changes is important to reveal the information processing processes and network reconfiguration in cognitive tasks. In this study, we proposed a comprehensive framework based on high-order singular value decomposition (HOSVD) t...
Article
Full-text available
Background: Ongoing EEG data are recorded as mixtures of stimulus-elicited EEG, spontaneous EEG and noises, which require advanced signal processing techniques for separation and analysis. Existing methods cannot simultaneously consider common and individual characteristics among/within subjects when extracting stimulus-elicited brain activities f...
Chapter
Real-world data are often linked with each other since they share some common characteristics. The mutual linking can be seen as a core driving force of group analysis. This study proposes a generalized linked canonical polyadic tensor decomposition (GLCPTD) model that is well suited to exploiting the linking nature in multi-block tensor analysis....
Conference Paper
Joint diagonalization (JD) is an instrumental tool in a vast variety of applications such as blind source separation, polarization sensitive array processing, and linear algebra based computation of tensor decompositions. Among the JD families, those based on successive rotations are a major category that minimizes the adopted highly nonlinear cost...

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