BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
2021 · Medical Image Analysis · 653 citations
https://doi.org/10.1016/j.media.2021.102233
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Siyuan Gao
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Siyuan Gao is an academic researcher from Shanghai University. The author has contributed to research in topics: Functional Brain Connectivity Studies & Mental Health Research Topics & Advanced MRI Techniques and Applications. The author has an h-index of 22, co-authored 92 publications.
ORCID: 0000-0002-8925-7042Papers by this author
worksTask-induced brain state manipulation improves prediction of individual traits
2018 · Nature Communications · 572 citations
https://doi.org/10.1038/s41467-018-04920-3
Predicting the future of neuroimaging predictive models in mental health
2022 · Molecular Psychiatry · 52 citations
https://doi.org/10.1038/s41380-022-01635-2
Smooth graph learning for functional connectivity estimation
2021 · NeuroImage · 22 citations
https://doi.org/10.1016/j.neuroimage.2021.118289
The instability of functional connectomes across the first year of life
2021 · Developmental Cognitive Neuroscience · 22 citations
https://doi.org/10.1016/j.dcn.2021.101007
Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task Switching Revealed by Overlapping Brain States
2023 · Biological Psychiatry · 18 citations
https://doi.org/10.1016/j.biopsych.2023.03.024
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