Thomas Yeo
@bttyeo
brain imaging, machine learning, neuroscience, brain disorders
1/11 Excited to share our @Naturestudy led by @Leon_Oo1 @csabaorban @ZShaoshi doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...
Forgot to include link to article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Mairi S. Houlgreave, Stephen Jackson, et al: Uncovering the neural correlates of the urge-to- blink: A study utilising subjective urge ratings and paradigm free mapping
@ten_photos collaborated with researchers at the National University of Singapore on a recent study published in @Nature on how longer duration fMRI brain scans reduce costs and improve prediction accuracy for AI models. Read more about the study below 👇
1/11 Excited to share our @Naturestudy led by @Leon_Oo1 @csabaorban @ZShaoshi doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...
New paper in Imaging Neuroscience by Jacob Sanz- Robinson and Jean-Baptiste Poline et al.: Open- source platforms to investigate analytical flexibility in neuroimaging doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Abhishek Anand, Chandra Murthy & Supratim Ray: Burst estimation through atomic decomposition (BEAD): A toolbox to find oscillatory bursts in brain signals doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Haatef Pourmotabbed, Catie Chang et al.: Multimodal state-dependent connectivity analysis of arousal and autonomic centers in the brainstem and basal forebrain doi.org/10.1162/IMAG.a…
Forgot to include link to article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Sebastian Ehmann, Matthew D. Sacchet, et al: Mindfulness, cognition, and long-term meditators: Toward a science of advanced meditation
Forgot to include link to article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Ikko Kimura, Joonas A. Autio, et al: Linking neuron-axon-synapse architecture to white matter vasculature using high-resolution multimodal MRI in primate brain
Forgot to include link to article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Xiaohui Yan, Fan Cao et al.: Neural correlates of foreign speech imitation: The effects of age and music
Forgot to include link to original article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Nastaren Abad, Thomas K.F. Foo et al.: Feasibility of brain intra-axonal microstructure imaging with ultrahigh B-encoding using MAGNUS ultra-high-performance gradients
Link to article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Jane Stocks, M-Marsel Mesulam: Spatial and temporal progression of neurodegeneration in confirmed and suspected TDP-43 type C pathology
Link to original article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Nikitas C. Koussis, Michael Breakspear, et al: Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes
A pattern-learning algorithm associates copy number variations with brain structure and behavioural variables in an adolescent population cohort | Nature Biomedical Engineering. Congratulations, @KopalJakub !! nature.com/articles/s4155…
‼️NEW PREPRINT‼️ What if you could take a normal 3T T1-weighted scan and make it look like it was acquired from a 7T scanner? We use AI on 172 paired 3T and 7T scans to improve sharpness and contrast of 3T images Link: arxiv.org/abs/2507.13782 Check out the thread! 👇👇 1/
On behalf of the CNV analysis workgroup of the @PGCgenetics I'm pleased to share our latest paper "Psychiatric disorders converge on common pathways but diverge in cellular context, spatial distribution, and directionality of genetic effects" 🧵1/N medrxiv.org/content/10.110…
Great work led by @KoussisNikitas highlighted by this banger of a summary figure! direct.mit.edu/imag/article/d… Thnx to super editorial & copy-editing by @ImagingNeurosci team
New paper in Imaging Neuroscience by Nikitas C. Koussis, Michael Breakspear, et al: Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes
1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).
IMHO, data cleaning is important to understanding the data and doing good science.
Academia must be the only industry where extremely high-skilled PhD students spend much of their time doing low value work (like data cleaning). A 1st year management consultant outsources this immediately. Imagine the productivity gains if PhDs could focus on thinking
Proud to be part of this exciting @Nature study! It's time to embrace longer fMRI scan durations!
1/11 Excited to share our @Naturestudy led by @Leon_Oo1 @csabaorban @ZShaoshi doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...
Nice to see this awesome study finally out! Strong work!
1/11 Excited to share our @Naturestudy led by @Leon_Oo1 @csabaorban @ZShaoshi doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...