Pew-Thian Yap
@pt_yap
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Malaysian-American Scientist. Professor of Radiology, Computer Science, and Biomedical Engineering @UNCRadiology @BRIC_UNC @UNC_SOM @UNC
North Carolina, USA
Joined October 2020
Read my latest #research on #InfantAtlases, published with @SpringerNature in @naturemethods! Share ideas on how to use the atlases in comments below.
To kick off the New Year: MRI surface-volume atlases of month-to-month human infant brain development from age 2 weeks to 2 years. @sahar_ahmad4 @pt_yap @UNCRadiology @BRIC_UNC. OA paper:
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🧠 New paper alert!. Our latest work “Functional development of the human cerebellum from birth to age five” is now out in @NatureComms! 🎉 . Read the paper: @UNCRadiology @BRIC_UNC.
nature.com
Nature Communications - Using over 1,000 early childhood fMRI scans, the authors mapped cerebellocortical connectivity, revealing early integration with higher-order networks and age-related...
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RT @UNCRadiology: Yueh Lee, MD, PhD, named Inaugural Member of National Academy of Inventors Chapter. Lee is part of the first cohort of th….
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RT @aipulserx: How can we identify and map excitation-inhibition imbalances across brain regions during Alzheimer's disease progression usi….
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RT @lofiMRI: The UltimateSynth training framework could allow your algorithm to generalize across all MR contrasts! Worth a 👀. Paper: https….
radaccess.com
UltimateSynth: A Pan-Contrast PanaceaPoor generalization remains one of the biggest challenges for developers of deep learning algorithms in medical imaging. In an ideal world, we would collect...
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🚀 Meet Anatomy-to-Tract Mapping (ATM): a deep learning framework that infers bundle-specific streamlines directly from anatomical MRI—no diffusion streamline propagation required. 🧠✨ #Neuroimaging #WhiteMatter. @UNCRadiology @BRIC_UNC .
biorxiv.org
Diffusion tractography, a cornerstone of white matter mapping, relies on point-to-point stream-line propagation—a process often compromised by errors stemming from inadequate signal-to-noise ratio...
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Will your algorithm stand up to over 150,000 MRI contrasts?. @UNCRadiology @BRIC_UNC.
Exciting work led by @RheaAdams_MRI in collaboration with @pt_yap on UltimateSynth, a pan-contrast MRI synthesis framework powered by MR physics that generates realistic MR images across the full contrast spectrum, independent of sequence, scan, vendor, or contrast type.
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Surprised to be recognized as a Highly Ranked Scholar by ScholarGPS in Image Analysis, currently at #9!. @UNCRadiology @BRIC_UNC.
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🧠 Thrilled to announce that our preprint, "The Growing Little Brain", is out now! Dive into the fascinating world of early cerebellar growth and its critical role in brain development!. @UNCRadiology @BRIC_UNC.
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Passionate about research at the intersection of MR physics, AI, and neuroscience? We are looking for Post-Doctoral Research Associates and Graduate Research Assistants to join us in contributing to groundbreaking research in computational neuroscience.
linkedin.com
Join Our Research Team in Computational Neuroscience! Are you passionate about research at the intersection of MR physics, artificial intelligence, and neuroscience? We are looking for Post-Doctoral...
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RT @MRI_Dan: Exciting new R01 to develop imaging tools for opioid-exposed babies at risk for developmental delays, with amazing MPI Dr. Dea….
news.uhhospitals.org
With a $3 million grant from NIH, experts are using advanced imaging technology to better understand changes in the infant brain that may accompany Neonatal Abstinence Syndrome.
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RT @UNCRadiology: Calling all researchers!!! Submit your abstracts for the 2024 Radiology Departmental Research Symposium on October 24, 20….
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RT @UNCRadiology: Virginie Papadopoulou Joins Radiology with Biomedical Engineering Joint Appointment as an Associate Professor. Virginie d….
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RT @UNCRadiology: Uzay E. Emir, PhD, sat to discuss his research and belief that there are no stupid questions. He is an Associate Professo….
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RT @sahar_ahmad4: 🌟Happy to receive the Young Investigator Award 🏆 from @FIT_NGIn for the annual #FITNG2024 conference. 👩💼I will be presen….
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🧠 We have multiple, immediately available, postdoc and graduate student opportunities at UNC Chapel Hill. If you are interested in medical imaging (e.g., accelerated MRI, image quality control, and image analysis) and neuroscience, please feel free to reach out to me via email.
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