jeiran

Assistant Professor of Neurology

USC Stevens Neuroimaging and Informatics Institute
Keck School of Medicine
University of Southern California

[Maryam Fotouhi, MD @Maryamfotouhi11]

I had the chance to present our lab’s work at #RSNA25, both at the digital station and as a printed poster. Learned so much putting this together and from the questions (even on the RSNA app). Grateful for my mentors, co-authors, and everyone pushing neuroimaging forward.

[Maryam Fotouhi, MD @Maryamfotouhi11]

Join us at #WNRS24! I’ll present our work from 🏛️ USC Stevens Neuroimaging Institute on 🧠 Tau-PET imaging & pTau in cognitive decline #Alzheimers. 📅Oct 17, 2 PM. Don’t miss it!
@USCLONI @RadiologyUSC @wnrsociety @NasimShBahaei @JeiranC @Bvargeese @gpandeylab @MountSinaiNYC

[Lab of Neuro Imaging @USCLONI]

📢 Catch @Fran_sibilia's poster presentation 3/8 and 3/9, 12:50 - 2 pm at #ADPD2024
“Exploring the relationship among walking, sleep patterns, brain perivascular spaces, and cognitive function in Parkinson's disease”

[Judyshih @Judyshih33]

So excited to see this out in Sleep Medicine! We showed the link between sleep and perivascular space varies by age and race. Also, age and BMI mediated these findings.🧠💤
Check out our new paper:
https://t.co/zryDSU3H89

@JeiranC @g_barisano @USCLONI

[jeiran @JeiranC]

@RAssadsangabi @USCLONI Thanks Reza

[jeiran @JeiranC]

@MeredithBraskie @USCLONI Thanks Meredith

[Lab of Neuro Imaging @USCLONI]

🎉 Congrats to the 2023 Collaborative Research Planning Award recipients including our very own @JeiranC!
She will examine chronic neurological manifestations of SARS-CoV-2 infection, develop & evaluate biomarkers of disease, & inform treatment pathways w/ Dr. Klausner 🧠

[jeiran @JeiranC]

You can register using the following link: https://t.co/NdE6I3fOBh

[jeiran @JeiranC]

Join @HaoyuLan on his presentation about using Weakly supervised learning for perivascular spaces segmentation 👇 at @ISMRM Neurofluid study group

[Lab of Neuro Imaging @USCLONI]

📢 The @ISMRM Neurofluids study group committee is hosting its first webinar about PVS segmentation methods on 9/26 at 10am Eastern 🧠 Our very own Haoyu Lan will be speaking. All are welcome!

Meeting link: https://t.co/Rf7mlLCZ1x

[Lab of Neuro Imaging @USCLONI]

🎉 HUGE congrats to @Judyshih33 for winning the Neuroimage Clinical Editor's Choice Award at #OHBM2023 for her paper, "Microstructural mapping of dentate gyrus pathology in Alzheimer's disease: A 16.4 Tesla MRI study" 👏🧠 https://t.co/4M8dapVJlv

[Andrew Zalesky @AndrewZalesky]

CONGRATS to Nien-Chu Shih and coauthors on award of this year's Neuroimage Clinical Editor's Choice Award #OHBM2023 @eic_nic @OHBM

Microstructural mapping of dentate gyrus pathology in Alzheimer's disease: A 16.4 Tesla MRI study

https://t.co/Z4ar9ZpSw4

[Nasim @NasimShBahaei]

Visit our poster at #AAIC2023 #AAIC23
@RadiologyUSC @USCneurorads @USCLONI @MountSinaiNYC
@JeiranC @gpandeylab

[Lab of Neuro Imaging @USCLONI]

👀🧠 Check out a NEW PAPER by Sierra Alban @JeiranC @fsepehrband @kirstenmlynch: The association between white matter hyperintensities and amyloid and tau deposition.
👉 https://t.co/XZLOk8QrWR
#AlzheimersDisease

[Lab of Neuro Imaging @USCLONI]

📢Thrilled to announce the source code of our PVS segmentation model WPSS is publicly available! WPSS is a weakly supervised data-driven convolutional neural network model focusing on segmenting PVS in #MRI images. Learn more 👉 https://t.co/QmaHiyUsQm
Congrats @JeiranC @HaoyuLan

[Lab of Neuro Imaging @USCLONI]

🌟 Congrats to our new faculty member @kirstenmlynch for winning a magna cum laude merit award from @ISMRM for her talk: #Alzheimers disease neuropathology contributes to perivascular and parenchymal free water diffusion characteristics 🧠

[jeiran @JeiranC]

@loft_lab @ShaoXingfeng Congratulations @ShaoXingfeng 🎉

[Lab of Neuro Imaging @USCLONI]

📣🎉 Our digital, interactive 2022 annual report is now LIVE! Read up on our year of innovation and discovery and check out some of our newest images, animations, and videos 🧠👀https://t.co/Nf8QW6dKA5

[jeiran @JeiranC]

4) - Compared to the filter-based image processing algorithm, data driven PVS segmentation method differentiates the white matter hyper-intensity from PVS resulting low false positive rate using quality-controlled data as the training target.
https://t.co/Ej6fOv5jth

[jeiran @JeiranC]

1) Checkout our new paper “Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter“ in Magnetic Resonance in Medicine journal. So proud of Haoyu Lan for this impactful scientific contribution in PVS research 🧠 conducted in @USCLONI In this work:

[jeiran @JeiranC]

3) - Weakly supervised perivascular spaces (PVS) segmentation method could be trained with weak labels generated by the image processing algorithm as the training targets, which reduces the training dependency on large scale manually annotated labels.