@Penn_SIVE

The Penn Statistical Imaging and Visualization Endeavor (PennSIVE) is a group of statisticians studying etiology and clinical practice through medical imaging.

 Philadelphia, PA, USA
med.upenn.edu/pennsive
Joined November 2012
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  • Following279
  • Followers498
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Our recent work on statistical rigor explores methods to control the familywise error rate in group analysis of optical neuroimaging data. Read it in #Neurophotonics @SPIEtweets. In collaboration with @Penn_SIVE and @VandyAtVandy. spiedigitallibrary.org/journ…
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The confidence intervals for your effect sizes may be wrong! E.g. if you have observational data. @kaidikangkk has a solution bootstrapping the robust effect size index tinyurl.com/RESICI. @MJBiostats made you an R package tinyurl.com/cranRESI @vandy_biostat @Penn_SIVE
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This is kind of cool, ChatGPT can scrape statistical information from published papers for you: @hbwardMD @Penn_SIVE @Aaron_A_B @vandy_biostat @sattertt @bogglerapture
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Come to the @bdi_oxford Big Data Institute! We're looking for a Senior Postdoc Researcher in Machine Learning of Omics data. Develop novel statistical methods for clinical, image and omics data, as part of Oxford-Novartis Collaboration for AI in Medicine. my.corehr.com/pls/uoxrecruit…
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If you are looking for a postdoc and think combining brain stimulation w brain imaging + behavior could be an interesting career, DM me. fMRI pros especially welcome. We can teach the rest! URMs encouraged.
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check out our poster at #SfN22 this morning (tues!) on the BOSS model to track oligodendrocytes in vivo, presented by the wonderful Caleb Bae (498.15) @PennNeurology @Penn_SIVE
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📢Our work in updating iterative harmonization methods for multiple imaging parameters into OPNested ComBat is now live at @SciReports! rdcu.be/cZf2n Big thanks to @CBICAannounce @Penn_SIVE and to @DespinaKontos @takishinohara!
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The RESI R package (tinyurl.com/RESIpackage) can easily add the robust effect size index (RESI) with confidence intervals to (almost) any model summary in R. Written by @MJBiostats and @kaidikangkk. TYMBI: @Penn_SIVE @sattertt @annash128 @SuzanneAveryPhD @maureenmchugo1 @DrRoalf
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🚨 !! WE'RE HIRING !! 🚨 Check out these 2 fully-funded postdoc openings @NIMHgov @IRPatNIH : one in imaging transcriptomics, the other in functional genomics of rare disorders. Please RT. Wld love to hear from you if you're interested in learning more - just email/DM me.
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Join our lab and you too can give talks + wear sparkly birthday hats at #JSM2022! 🥳🥳🥳
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If you're looking for a postdoc or are a prospective graduate student, I'll be recruiting trainees soon. If you're interested in aging/AD and any of: * Multi-omics * Machine learning / deep learning * Neuroimaging / fMRI Please do reach out, or come find me at #AAIC2022!
Jake Vogel@_JakeVogel_23 Jul 2022
Big news!! I've decided to turn down (!) an NIH K99/R00 and instead take a tenure track position at @lunduniversity!! I will be opening my own lab by the end of this year, which will use machine learning and multi-omic and imaging data to study ADRD. 🎉🎉🎉
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📜 "Automated analysis of low-field brain MRI in cerebral malaria" is out in @Biometrics_ibs! 📜onlinelibrary.wiley.com/doi/…

Automated analysis of low‐field brain MRI in cerebral malaria

A central challenge of medical imaging studies is to extract biomarkers that characterize disease pathology or outcomes. Modern automated approaches have found tremendous success in high-resolution,...

onlinelibrary.wiley.com
Danni Tu@danni__tu19 Jul 2022
🧠 Now out in @Biometrics_ibs! 🧠 A fully automated pipeline & statistical framework to predict severe brain volume from low-field 0.35T brain MRI in children with cerebral malaria. 📜🧵
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Read it here! nature.com/articles/s41598-0… ☄️💫🧑‍🚀
Danni Tu@danni__tu5 Jul 2022
My first first-author paper is out in @SciReports! In spaceflight, astronauts face a demanding workload and extreme environmental conditions. 🪐✨Ultimately, we'd like to anticipate changes in neurobehavioral alertness as a function of environmental and psychological factors. 🧵
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Huge congratulations to @takishinohara (@Penn_SIVE, @UPennDBEI) on his promotion to Professor!!! Super well deserved!!! dbei.med.upenn.edu/bio/russe…
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We had so much fun sharing our posters at #OHBM2022 in Glasgow! @Andrew_AChen @hufengling @smweinst @danni__tu 🧠
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🎉🎓 Congratulations to @carolynlou_ , who recently defended her PhD thesis, "Statistical Methods for Quantitative Imaging Biomarkers"!!! 🧠🍾 @takishinohara
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So many amazing posters at #SMI2022 @ASAimaging, including several from our (about to be on the job market 🤩) PhD students @smweinst @danni__tu @Andrew_AChen, as well as postdoc Neel Desai 🧠 (1/2) ...
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.... And the poster excellence continues at #SMI2022!!! With great work from PhD students Hannah Horng, Christina Chen, and @hufengling 🧠🧠 (2/2)
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We are recruiting a post-doctoral fellow in neuroinformatics, with a focus on development of software for reproducible image analysis. NOTE: we are prepared to offer above-market salary for qualified folks ($80-90,000 USD/year). Full post here; please RT: pennlinc.io/JoinUs

Jobs (All) | Penn LINC

pennlinc.io
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10/10: Sarah Weinstein #2022ResearchDay talk: Penalized Decomposition Using Residuals for Mitigating Nuisance Variables in Multivariate Pattern Analysis. #Alzheimers brain structural patterns: disease progression vs. aging/sex difs? @kristin_linn @takishinohara #Neuroimaging
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