Dustin Scheinost

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Dustin Scheinost

Dustin Scheinost

@DScheinost

Associate Prof in @YaleRadiology (he/him/his) functional connectivity | predictive modeling | fetal-infant fMRI co-founder @FIT_NGIn | developer @SuiteYale

New Haven, CT Katılım Mayıs 2012
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Dustin Scheinost
Dustin Scheinost@DScheinost·
Excited to share @JeanSYe_ work now out in @NeuroCellPress! We found that during development, people become more variable in how much they engage recurring brain states.
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Zhiqiang Sha (@zhiqiangsha.bsky.social)
Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers | Nature Human Behaviour #Fig1" target="_blank" rel="nofollow noopener">nature.com/articles/s4156…
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Yale Biomedical Imaging Institute
Yale Biomedical Imaging Institute@YaleBioImaging·
The BITTS conference aims to bring together researchers working in the field of biomedical imaging using a variety of modalities—PET, MR, CT, optical, and ultrasound—and a wide range of organ and disease applications. More info: m.yale.edu/bitts-conferen…
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Neuron
Neuron@NeuroCellPress·
Online now: Variation in moment-to-moment brain state engagement follows a consistent trajectory during development dlvr.it/TN7bpC
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Yale Neuroscience
Yale Neuroscience@YaleNeuro·
In a new study, @Yale researchers led by Katarzyna Chawarska, PhD, & @DScheinost, PhD🥼 found robust connectivity in the social perception pathway just weeks after birth👶, highlighting how early brain development may shape later social interactions!👇 medicine.yale.edu/news-article/b…
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Raimundo Rodriguez
Raimundo Rodriguez@R_X_Rodriguez·
Resting-state FC has long been a source of debate. Recent evidence suggests that task-like patterns dominate its signal. To study less dominant components, we introduced a caricaturing method to project the data to a subspace orthogonal to these patterns. rdcu.be/eN1gJ
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Yale Biomedical Imaging Institute
Yale Biomedical Imaging Institute@YaleBioImaging·
YBII members present a method in @NatureNeuro to remove task-like signals from resting-state fMRI, boosting individual differentiation and fingerprinting accuracy. Their work reveals overlooked signals beyond dominant co-activation patterns. nature.com/articles/s4159…
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Yale Biomedical Imaging Institute
Yale Biomedical Imaging Institute@YaleBioImaging·
Dr. Jason Johnson and collaborators developed the world’s first DL model specifically designed to segment ultra-high resolution brain MRI. The new GA-MS-#UNet++ model uses advanced attention mechanisms to unlock the potential to detect subtle brain changes mdpi.com/2306-5354/12/1…
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