Take a look at some of our wonderful LCN RAs & interns who presented what they've been working on at the Martinos Center (@mghmartinos.bsky.social) Early Career Poster session!
(Psst, here in the FreeSurfer lab, we actually call ourselves LCN - Laboratories for Computational Neuroimaging 😉.)
🙌 Want to give it a try? Tutorials available here: tinggong.github.io/Microstructu...
Another congrats goes out to our lab's Ting Gong whose ISMRM abstract "Microstructure.jl: a Julia Package for Probabilistic Microstructure Model Fitting with Diffusion MRI” was awarded the Summa Cum Laude Merit Award! 👏
The next virtual FreeSurfer course will be held on June 9th, 10th, and 12th, 2025. Registration for this course is now open! Visit our course website to find out more information: surfer.nmr.mgh.harvard.edu/fswiki/Virtu...
FreeSurfer
Congrats to our lab's Chiara Mauri & fellow authors whose ISMRM abstract, “A method for automatic 3D vasculature segmentation in ex vivo MRI using synthetic data”, received the 2025 Magna Cum Laude Merit Award! 🎉
Introducing VoxelPrompt, an agent-driven model that can tackle a landscape of diverse radiological tasks, extending far beyond those addressed by today’s specialized models. VoxelPrompt addresses complex objectives with a solution grounded in interpretable vision operations.
Paper: lnkd.in/ezWSX6zQ
Congrats @tinggong.bsky.social ! Follow Ting for all things dMRI microstructure and check out her probabilistic compartment model fitting package and preprint at github.com/Tinggong/Mic... 🧠 🧲🔬
We present VoxelPrompt, an agent-driven vision-language framework that tackles diverse radiological tasks through joint modeling of natural language, image volumes, and analytical metrics. VoxelPrompt...
lnkd.in
Anastasia Yendiki
Julia package for microstructure imaging. Contribute to Tinggong/Microstructure.jl development by creating an account on GitHub.
Another congrats goes out to our lab's Ting Gong whose ISMRM abstract "Microstructure.jl: a Julia Package for Probabilistic Microstructure Model Fitting with Diffusion MRI” was awarded the Summa Cum Laude Merit Award! 👏
