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Jianxiao Wu

Researcher at University of Düsseldorf

Publications -  12
Citations -  137

Jianxiao Wu is an academic researcher from University of Düsseldorf. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 2, co-authored 4 publications receiving 43 citations. Previous affiliations of Jianxiao Wu include National University of Singapore.

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Journal ArticleDOI

Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems

TL;DR: It is found that RF‐ANTs performed the best for mapping between fsaverage and MNI 152/Colin27, even for new subjects registered to MNI152/ Colin27 using a different software tool (FSL FNIRT), suggesting that RF•ANTs would be useful even for researchers not using ANTs.
Posted ContentDOI

Accurate Nonlinear Mapping between MNI Volumetric and FreeSurfer Surface Coordinate Systems

TL;DR: It is found that RF-ANTs performed the best for mapping between fsaverage and MNI152/Colin27, even for new subjects registered to MNI 152/ Colin27 using a different software tool (FSL FNIRT).
Posted ContentDOI

A Connectivity-based Psychometric Prediction Framework for Brain-behavior Relationship Studies

TL;DR: This work proposes a connectivity-based psychometric prediction framework based on individual regions’ connectivity profiles and demonstrates how the influence of various data processing and analyses can directly influence the patterns of brain-behavior relationships.
Journal ArticleDOI

Reporting details of neuroimaging studies on individual traits prediction: A literature survey

TL;DR: In this article , the authors performed a literature survey of the rapidly work on phenotype prediction in healthy subjects or general population to sketch out the current state and ongoing developments in terms of data, analysis methods and reporting.
Journal ArticleDOI

A Connectivity-Based Psychometric Prediction Framework for Brain-Behavior Relationship Studies.

TL;DR: In this article, a connectivity-based psychometric prediction framework based on individual regions' connectivity profiles is proposed to investigate the relationships between interindividual variability in brain connectivity and behavioral phenotypes.