Author

Pei Huang

Agency for Science, Technology and Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Ai Ling Teh· 1 shared Ai Peng TaniD· 1 shared Aisleen Mariz Arellano ManahaniD· 1 shared Arshia NaaziD· 1 shared B.T. Thomas YeoiD· 1 shared Dennis Y.Q. WangiD· 1 shared J. D. Carlin· 1 shared Janice Lee· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Ai Ling Teh

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Author profile →

2 papers

Recent·Most cited

Developing a multi-modal neuroimaging-based BrainAge model across childhood

Shi Yu Chan, Pei Huang, Ai Ling Teh, Arshia Naaz, Jasmine Si Min Chuah, Zhen Ming Ngoh, Janice Lee, Aisleen Mariz Arellano Manahan, Xavier Yan Heng Lim, Marielle V. Fortier, Juan Helen Zhou, B.T. Thomas Yeo, Yap Seng Chong, Peter Gluckman, Johan Eriksson, , Ai Peng Tan

This paper develops and benchmarks BrainAge models using multi-modal neuroimaging data from childhood cohorts to distinguish healthy from symptomatic developmental trajectories.

bioRxiv · May 19, 2026 · PreprintNeuroscience

Improved motion correction of submillimetre 7T fMRI time series with boundary-based registration (BBR)

Pei Huang, J. D. Carlin, R. N. Henson, M. M. Correia

This paper applies boundary-based registration (BBR) to improve motion correction in 7T submillimetre fMRI data, showing it outperforms standard methods.

bioRxiv · Aug 28, 2019 · PreprintNeuroscience