๐Congratulating the newest @SSRbone Researcher Spotlight, the great Dr. Mohammad Samim of @nyu_mskrad ๐ซ
โ Learn more about this superstar's research highlights, interests in & beyond #MSKRad, & moreโฌ๏ธ
๐https://t.co/f7wJbNv8Ic
@ssr_rwg@ISS_Bone@VivekKaliaMD@SoteriosGyft
๐A big thank you to Drs. Symanski & Ladd for sharing approaches to advanced imaging of the hand!๐ซ
โ And to YOU for joining us!
๐Coming soon: Link to recording
๐๏ธSave the date๐ซ June 10 for the next REC session!
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 โRethinking Diffusion Models for Science: From Generation to Faithful Reconstruction.โ
101B at 1PM
Iโll 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.
https://t.co/mxk6nIYlCZ
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 isnโt just better models, itโs better data. @UofURadiology
๐๐ฑ๐๐ข๐ญ๐๐ ๐ญ๐จ ๐ฌ๐ก๐๐ซ๐ ๐ญ๐ก๐ ๐ฉ๐ซ๐๐ฅ๐ข๐ฆ๐ข๐ง๐๐ซ๐ฒ ๐ซ๐๐ฅ๐๐๐ฌ๐ ๐จ๐ ๐๐จ๐ฌ๐๐ข๐๐๐๐.
To our knowledge, it is the ๐ฅ๐๐ซ๐ ๐๐ฌ๐ญ ๐๐ง๐ ๐ฆ๐จ๐ฌ๐ญ ๐๐ข๐ฏ๐๐ซ๐ฌ๐ ๐จ๐ฉ๐๐ง-๐ฌ๐จ๐ฎ๐ซ๐๐ ๐ซ๐๐ฐ ๐ฆ๐ฎ๐ฌ๐๐ฎ๐ฅ๐จ๐ฌ๐ค๐๐ฅ๐๐ญ๐๐ฅ ๐๐๐ ๐๐๐ญ๐๐ฌ๐๐ญ 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 ๐๐๐ ๐ฉ๐ซ๐จ๐๐ฅ๐๐ฆ๐ฌ (accelerated reconstruction, low-field MRI, motion compensation) and broader ๐๐ ๐๐ง๐ ๐๐จ๐ฎ๐ง๐๐๐ญ๐ข๐จ๐ง-๐ฆ๐จ๐๐๐ฅ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ in science and healthcare, including robustness, generalization, scaling laws, heterogeneous data mixtures, continual learning, and test-time adaptation.
๐๐๐๐ฌ๐ข๐ญ๐: https://t.co/XlfBVz1ZFa
๐๐๐ฉ๐๐ซ: https://t.co/jhZOwsnaC5
๐๐จ๐๐: https://t.co/yY90QqMTeX
๐๐๐๐๐ฌ๐ฌ: https://t.co/p1kZaNCIsd
๐๐๐ง๐๐ก๐ฆ๐๐ซ๐ค: https://t.co/Np8RY5bb8z
๐๐๐ซ๐ฅ๐ฒ ๐๐ฏ๐๐ฅ๐ฎ๐๐ญ๐ข๐จ๐ง ๐ญ๐ซ๐๐๐ค๐ฌ ๐๐ซ๐ ๐ง๐จ๐ฐ ๐ฅ๐ข๐ฏ๐. Official benchmark tracks and community challenges will follow.
Grateful to NIH National Library of Medicine (NLM) for supporting this project.
Excited for this one! Our first ever oral boardsโstyle REC session ๐
Looking for volunteers to take cases and keep it interactive and fun. Great low-stakes practice + shoutouts included ๐
Let me know if youโre in!
#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 ๐ Grateful for this MSK community.
Peer review was supposed to be scienceโs quality filter, but somewhere along the way it started acting more like a bouncer who only lets in the regulars. Itโs 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. Thatโs where the value lives, not in the journalโs logo.
A major survey a few years back found that roughly 70% of researchers think the current system is fundamentally broken, and itโs 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.