Maryam Soltanolkotabi

🔊A big thank you to Drs. Symanski & Ladd for sharing approaches to advanced imaging of the hand!💫 ✅And to YOU for joining us! 👀Coming soon: Link to recording 🗓️Save the date💫 June 10 for the next REC session!

Looking forward to this one! As an upper extremity girly, I’m always here for hand imaging cases! 🖐️🦴

@UofURadiology Congratulations!!

Congratulations to Dr. Kari Nelson and Dr. Jeremy Burt on their induction as Fellows of the American College of Radiology at this year’s Annual Meeting in Washington DC! 🎉

🔊Hand Advanced Imaging Cases at the next REC session! 🗓️May 13 on Zoom at 7PM EST ✅Registration open⬇️ 🔗veritasamc.zoom.us/webinar/regist… @ssr_rwg @intskeletal @RSNA @AAWR_org @ARRS_Radiology @RadiologyACR @MSKMarSol @atultanejamd @VivekKaliaMD @SoteriosGyft 💫

🔊Tonight's the night💫& our doors are open!⬇️ 🔗veritasamc.zoom.us/webinar/regist… @ssr_rwg @ISS_Bone @CRSRFS @ARRS_Radiology @AAWR_org @RadiologyACR @MSKMarSol @atultanejamd @VivekKaliaMD @SoteriosGyft 💫

Diffusion models are great at making images look right. In scientific applications we need them to actually be right. I'll be giving a talk at the Foundation Models for Science workshop on “Rethinking Diffusion Models for Science: From Generation to Faithful Reconstruction.” 101B at 1PM I’ll discuss failures, fixes, and why the next leap requires new algorithms and datasets. Hoping to inspire more of my diffusion friends to work on these problems. fm-science.github.io

Don’t miss this-excellent MSK oral boards prep. #MSKRad

🔊2 days away & doors open!⬇️💫 #MSKRad on oral boards💫 🔗veritasamc.zoom.us/webinar/regist… @ssr_rwg @ISS_Bone @RSNA @ARRS_Radiology @RSNATrainees @AAWR_org @RadiologyACR @atultanejamd @MSKMarSol @VivekKaliaMD @SoteriosGyft

@ec2904 @mahdisoltanol @SepehriShahab @berk_tinaz @UofURadiology @USCMingHsiehEE @CSatUSC Thanks! Can’t agree more.

@mahdisoltanol @SepehriShahab @berk_tinaz @MSKMarSol @UofURadiology @USCMingHsiehEE @CSatUSC Amazing work and organization. Letting all interested parties have access to data is the best way to improve patient outcomes.

𝐄𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐬𝐡𝐚𝐫𝐞 𝐭𝐡𝐞 𝐩𝐫𝐞𝐥𝐢𝐦𝐢𝐧𝐚𝐫𝐲 𝐫𝐞𝐥𝐞𝐚𝐬𝐞 𝐨𝐟 𝐌𝐨𝐬𝐚𝐢𝐜𝐌𝐑𝐈. To our knowledge, it is the 𝐥𝐚𝐫𝐠𝐞𝐬𝐭 𝐚𝐧𝐝 𝐦𝐨𝐬𝐭 𝐝𝐢𝐯𝐞𝐫𝐬𝐞 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐫𝐚𝐰 𝐦𝐮𝐬𝐜𝐮𝐥𝐨𝐬𝐤𝐞𝐥𝐞𝐭𝐚𝐥 𝐌𝐑𝐈 𝐝𝐚𝐭𝐚𝐬𝐞𝐭 to date: 2,671 volumes, 80,156 slices, 454 patients, and 10 anatomies, with broad variation in contrast, orientation, and coil configuration. This is a preliminary release and reflects only a fraction of the broader dataset we have been curating. We plan to expand MosaicMRI across institutions, field strengths, and new clinical challenges, with the goal of supporting both core 𝐌𝐑𝐈 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 (accelerated reconstruction, low-field MRI, motion compensation) and broader 𝐀𝐈 𝐚𝐧𝐝 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧-𝐦𝐨𝐝𝐞𝐥 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 in science and healthcare, including robustness, generalization, scaling laws, heterogeneous data mixtures, continual learning, and test-time adaptation. 𝐖𝐞𝐛𝐬𝐢𝐭𝐞: mosaicmri.ai 𝐏𝐚𝐩𝐞𝐫: arxiv.org/abs/2604.11762 𝐂𝐨𝐝𝐞: github.com/AIF4S/mosaicmri 𝐀𝐜𝐜𝐞𝐬𝐬: #access" target="_blank" rel="nofollow noopener">mosaicmri.ai/#access 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤: mosaicmri.ai/benchmark/ 𝐄𝐚𝐫𝐥𝐲 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐜𝐤𝐬 𝐚𝐫𝐞 𝐧𝐨𝐰 𝐥𝐢𝐯𝐞. Official benchmark tracks and community challenges will follow. Grateful to NIH National Library of Medicine (NLM) for supporting this project.

Excited to be part of this collaboration with USC on MosaicMRI! A major step toward truly scalable, foundation-model-ready MSK imaging datasets. The future isn’t just better models, it’s better data. @UofURadiology

Volunteer to take some cases in a safe, friendly MSK session 😄 Low stakes, high yield… and minimal emotional damage (we promise)

Excited for this one! Our first ever oral boards–style REC session 🎉 Looking for volunteers to take cases and keep it interactive and fun. Great low-stakes practice + shoutouts included 👏 Let me know if you’re in!

💥Excited for the publication: "Isolated Distal Tibiofibular Syndesmotic Injury: A Case Series and Proposed Mechanism" 🔗 brnw.ch/21x0ZOz 📌 #interosseousmembrane #distaltibiofibularsyndesmosis #injurymechanism #MRI

🔊Tonight's the night & our doors are open⬇️ 🔗veritasamc.zoom.us/webinar/regist… @ssr_rwg @ISS_Bone @RSNA @AAWR_org @ARRS_Radiology @RadiologyACR @MSKMarSol @atultanejamd @VivekKaliaMD @SoteriosGyft 💫

#SSR2026 delivered as always! Great science, thoughtful talks, and the real highlight: time with friends and colleagues. Plus a memorable gathering of the eSPASM crew 😉 Grateful for this MSK community.

Peer review was supposed to be science’s quality filter, but somewhere along the way it started acting more like a bouncer who only lets in the regulars. It’s slow, it tends to favor established labs and familiar names, and it gets uncomfortable around anything too unconventional. Papers loaded with mountains of data tend to cruise through, while bold ideas that actually challenge the consensus get stuck in limbo or turned away at the door. The irony is that where a paper gets published almost never determines its real worth. What actually matters is what the scientific community does with it afterward, whether people cite it, argue with it, build on it, or use it to blow up a long-held assumption. That’s where the value lives, not in the journal’s logo. A major survey a few years back found that roughly 70% of researchers think the current system is fundamentally broken, and it’s not hard to see why. Publicly funded research hides behind paywalls, editors chase whatever topic is hot that month, and the whole incentive structure pushes toward safe bets over genuinely risky and potentially important work. Science has always been complicated and deeply human and full of ego and inertia, but the conversation is shifting.

Excellent Case of the Day presentation by our MSK fellow, Sydney Litt, today at #SSR2026 @UofURadiology

Excited for all the wonderful hands-on and trainee sessions at this year’s #SSR2026

@bwells80 🙏🏼🙏🏼

#RT RSNA: Your donations power discovery in radiology. Through the #RandEFoundation, researchers like Maryam Soltanolkotabi, MD are advancing imaging innovation and improving patient care. See the impact: bit.ly/3P0pBLh @MSKMarSol #Radiology

Grateful to the @RSNA R&E Foundation for launching my investigative career and building the foundation for future R01 funding. This support made our work in quantitative Bone SPECT/CT and early OA detection possible. @UofURadiology