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"Clinical Evaluation of Scout Accelerated Motion Estimation and Reduction Technique for 3D MR Imaging in the Inpatient and Emergency Department Settings" #OpenAccess #EmergencyDepartment Susie Huang Azadeh Tabari | bit.ly/3RF4WKe

Retrospective #MotionCorrection for Brain #MRI: A Technical Description of SAMER by Daniel Polak (Siemens Healthineers), Stephen Cauley (Dept. of Radiology, Massachusetts General Hospital, MA, USA), et al. Learn more at …ng.webassets.siemens-healthineers.com/221d76b6c91d33… #magnetomworld #medphys #MedicalPhysics

This is the Nasir ol-Molk Mosque, also known as the Pink Mosque, in Iran. What makes it so beautiful? Creative limits. Here is how you construct a building out of pure light, pattern, and colour...

Adam Landman, MD, leads a discussion with Brian Anderson, MD, Ruth Carlos, MD, Munjal Shah, and Varun Singh, PhD, on the role of AMCs (Academic Medical Centers) in preparing for LLM integration in clinical practice, research, and operations. #DrIsIn #AI #AMC #LLMs #WMIF2023

Thankful!! Cancers MDPI “Machine Learning-Based Radiomic Features on Pre-Ablation MRI as Predictors of Pathologic Response in Patients with Hepatocellular Carcinoma Who Underwent Hepatic Transplant” Raul Uppot Dania Daye, MD PhD Azadeh Tabari et al. 📝 mdpi-res.com/d_attachment/c…

We've developed an optimized Wave MPRAGE protocol to mitigate the flow-related artifacts that can mimic enhancing lesions of the brain. Thanks to Min Lang Susie Huang John Conklin secure-web.cisco.com/1wnaHj1PQkKVDD… funfact:🍍juice was used as MR contrast agent in the phantom

Flow-mitigated Wave-magnetization-prepared rapid gradient-echo (MPRAGE) sequence shows ability to significantly reduce flow-related artifacts without sacrificing overall image quality. (Azadeh Tabari et al.) #EuropeanRadiologyExperimental 🔗 buff.ly/3PUNClv

BREAKING NEWS The Norwegian Nobel Committee has decided to award the 2023 #NobelPeacePrize to Narges Mohammadi for her fight against the oppression of women in Iran and her fight to promote human rights and freedom for all. #NobelPrize

We build a lie detector for large language models and show that they represent uncontroversially true and false sentences on opposite sides in a linear space. This is IMHO further evidence they they’re not just overhyped “stochastic parrots”:

Great to see everyone at the #rsna23 PIMI lab dinner. Lots of firsts this year: first ⁦RSNA⁩ oral presentation for ⁦Tarig.Elhakim,MD⁩ and first @rsna grant for ⁦Azadeh Tabari⁩! Proud mentor! ⁦@DeeviaKotecha⁩ ⁦Dr Z⁩ ⁦Satvik Tripathi⁩ ⁦Shakthi Ramasamy⁩

Thank you RSNA for the prestigious Seed Grant award and my first funding as a PI! And huge thanks to my forward-thinking mentors Dania Daye, MD PhD and Mike G for always leading with integrity, empowerment and wisdom.

Coming a full circle 10 years later - I was mentored by ⁦Penn Radiology⁩ #MitchSchnall for my first ⁦RSNA⁩ medical student grant in 2013 and today I am mentoring ⁦⁦Azadeh Tabari⁩ on her first ⁦#RSNA23 grant.

Scout-Accelerated Motion Estimation and Reduction (SAMER) for #Pediatric Brain #MRI by Azadeh Tabari, et al. (MGH Martinos Center). Learn more at …ng.webassets.siemens-healthineers.com/5acd1c6553bf19… #magnetomworld #MoCo #MotionCorrection Big thank you to Min Lang John Conklin Mike G Susie Huang et al

Can faster MRI be greener too? 🌍🧠 This study by Sean Woolen MD MS Kate Hanneman Susie Huang Azadeh Tabari Jan Vosshenrich, MD shows how acceleration cuts energy use, emissions, and costs, while boosting capacity. A smart, sustainable win! #LowCarbonMRI #Radiology pubs.rsna.org/doi/10.1148/ra…

Woolen et al measured the energy expenditures during specific MRI protocols on different field-strength magnets. Read on to see the results! #RadGoesGreen UCSF Imaging Sean Woolen MD MS Kate Hanneman Susie Huang Azadeh Tabari Jan Vosshenrich, MD Christopher Hess bit.ly/4jGof2n

Reducing MRI scan times could add thousands of exam slots, generating up to $22 million in new revenue per practice. Radiology RSNA Siemens Healthineers Sean Woolen MD MS UCSF Imaging Amy Becker PhD CCRP (she/her) Susie Huang Azadeh Tabari Kate Hanneman Jan Vosshenrich, MD Christopher Hess ow.ly/tgnH50VGCVn

🧠What if your risk score came with a why? Our interpretable model can predict if and why a patient is at risk of DVT after undergoing EVTA. Personalized, explainable, actionable. Read more DOI: 10.1016/j.jvsv.2025.102253 Yu Ma Haytham Kaafarani Dimitris Bertsimas Dania Daye, MD PhD MIT Jameel Clinic for AI & Health

1 in 3 adults have varicose veins, putting them at risk of chronic venous insufficiency. A new interpretable AI model focuses risk assessment of endovenous thermal ablation, one of the main treatments for CVI that can cause complications like blood clots: pubmed.ncbi.nlm.nih.gov/40316015/