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Tianchu Zeng

@tianchu.bsky.social
10 followers 8 following 1 posts

NUS PhD student

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Reposted by Tianchu Zeng
Thomas Yeo @bttyeo.bsky.social · 13/06/2026
If you are attending @ohbmofficial.bsky.social @ohbmofficial.bsky.social come by and check out our poster on how excessive censoring hurts parcellation and personalized TMS target accuracy. Poster number 2399 Presenting on Wednesday, June 17 (12:45-13:45) and Thursday, June 18 (13:45-14:45)
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Reposted by Tianchu Zeng
Thomas Yeo @bttyeo.bsky.social · 13/06/2026
For those attending @ohbmofficial.bsky.social @ohbmtrainees.bsky.social , come check out our poster finding that functional MRI brain foundation models do not outperform ridge regression. Poster number 2269 Presenting on Wednesday, June 17 | 12:45-13:45 and Thursday, June 18 | 13:45-14:45
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Reposted by Tianchu Zeng
Thomas Yeo @bttyeo.bsky.social · 13/06/2026
Openly shared implementation of TMS targeting is still rare, so we are pleased to make ours freely available for research use: github.com/ThomasYeoLab... Let us know if you have any issue running it!
github.com
GitHub - ThomasYeoLab/Kong2026_TMSTree: Tree-based MS-HBM TMS targeting algorithm
Tree-based MS-HBM TMS targeting algorithm. Contribute to ThomasYeoLab/Kong2026_TMSTree development by creating an account on GitHub.
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Reposted by Tianchu Zeng
Thomas Yeo @bttyeo.bsky.social · 25/05/2026
For those who are attending @ohbmofficial.bsky.social brainhack, I will be giving a short presentation of this work at the neuroimaging statistics workshop, co-hosted with brainhack: sites.google.com/view/nsw2026
sites.google.com
NeuroStats2026
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Tianchu Zeng @tianchu.bsky.social · 21/05/2026
So glad this is finally public. Grateful to my wonderful co-authors for the long journey.
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Reposted by Tianchu Zeng
Thomas Yeo @bttyeo.bsky.social · 11/04/2025
While the world burns, we cook up a new preprint! doi.org/10.1101/2025... Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
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