Sam.Payabvash

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Sam.Payabvash

Sam.Payabvash

@SamPayabvash

Neuroimaging clinician-scientist | Professor @columbiaimaging #Neurorad

New York, NY Katılım Aralık 2011
442 Takip Edilen1.7K Takipçiler
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The Free Press
The Free Press@TheFP·
While Iranians danced in the streets, major Western outlets dressed up Ayatollah Khamenei as a statesman instead of what he was: the architect of decades of terror at home and abroad, writes Maya Sulkin. thefp.com/p/the-posthumo…
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Fareed Zakaria
Fareed Zakaria@FareedZakaria·
Blue cities are out of control, promising more, spending more, delivering less and pushing off fiscal problems to some future day. Democrats in city halls should stop governing as if the goal is to announce new entitlements, and instead make government work. My take:
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Ali Nabavizadeh
Ali Nabavizadeh@Ali_Nabavizadeh·
Congrats to Dimos Chrysochoou from our lab on his first PhD paper, now in NPJ Precision Oncology. The study shows AI remaina reliable for pediatric brain tumor imaging despite missing MRI sequences. Thank you @anahita_fathi for you excellent mentorship @PennRadiology @wearecbtn
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Neurology Journal
Neurology Journal@GreenJournal·
This nationally representative study of over 2.17 billion emergency department visits with more than 175 million head CT scans among US adults from 2007-2022 found a steady increase in head CT use. However, this growth was not uniform: hubs.la/Q03Xk8mS0 @SamPayabvash
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AJNR
AJNR@TheAJNR·
"FDG-PET Intensity Normalization Improves Radiomics-Based Survival Prediction in Patients with Oropharyngeal Cancer: A Comparison of the Standardized Uptake Value with Alternative Normalization Techniques" doi.org/10.3174/ajnr.A… @SamPayabvash @ASHNRSociety
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Columbia Radiology
Columbia Radiology@columbiaimaging·
Sam Payabvash, MD, will be giving the keynote speech at this scientific session at 1:30 PM today! #RSNA2025
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AJNR
AJNR@TheAJNR·
"Are Deep White Matter Hyperintensities Associated with Amyloid-Related Imaging Abnormalities in Patients with Alzheimer Disease Treated with Lecanemab?" doi.org/10.3174/ajnr.A… #EditorsChoice
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Sam.Payabvash
Sam.Payabvash@SamPayabvash·
Our recent work Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT using Autoencoder and U-Net models for Hemorrhagic Stroke Outcome Prediction ⁦@BioTech_MDPImdpi.com/2673-6284/14/4…
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Sam.Payabvash
Sam.Payabvash@SamPayabvash·
Our automated ICH risk stratification maps identities brain bleed locations on admission head CT that independently predict poor outcomes - adjusting for hematoma volume and known risk factors
Stroke AHA/ASA@StrokeAHA_ASA

Automated Hematoma Location Mapping — The Future of Intracerebral Hemorrhage Risk Stratification? In this #BloggingStroke post, @drchloemutimer discusses #Stroke article by Abou Karam et al. #AHAJournals ahajournals.org/do/10.1161/blo…

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