Author

Xinyuan Liang

Beijing Normal UniversityORCID 0000-0003-2903-0062Unclaimed ORCID profile · follow to get notified of new preprints

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Xinyuan Liang1 paper · Beijing Normal University

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Approach:statistical model· 2 Approach:deep learning· 1 Assay:multiome· 1

Frequent Co-Authors

Jia‐Hong GaoiD· 3 shared Lianglong SuniD· 3 shared Sha TaoiD· 3 shared Shaozheng QiniD· 3 shared Shuping TaniD· 3 shared Tengda ZhaoiD· 3 shared Weiwei MeniD· 3 shared Yanpei WangiD· 3 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Jia‐Hong GaoORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 14, 2024

The continuous differentiation of multiscale structural gradients from childhood to adolescence correlates with the maturation of cortical morphology and functional specialization

Yirong He, Debin Zeng, Qiongling Li…·Shuyu Li

This study investigates how multiscale structural brain gradients develop from childhood to adolescence and links these changes to cortical morphology and functional specialization.

2 citations

𝕏 PostBluesky

NeurosciencebioRxivPreprintMay 3, 2024

Development of the overlapping network modules in the human brain

Tianyuan Lei, Xuhong Liao, Xinyuan Liang…·Yong He A

This study investigates how overlapping functional modules in the developing human brain change with age and their structural correlates using multimodal MRI data.

DOI 10.1101/2024.05.03.592316

𝕏 PostBluesky

NeurosciencebioRxivPreprintSep 15, 2023

SACNet: A Multiscale Diffeomorphic Convolutional Registration Network with Prior Neuroanatomical Constraints for Flexible Susceptibility Artifact Correction in Echo Planar Imaging

Zilong Zeng, Jiaying Zhang, Xinyuan Liang…·Tengda Zhao

SACNet corrects susceptibility artifacts in dMRI scans using a registration network with neuroanatomical constraints, showing improved performance across diverse datasets.

DOI 10.1101/2023.09.15.557874

𝕏 PostBluesky