Sandrine Bédard

New paper in Imaging Neuroscience by Enamundram Naga Karthik, Julien Cohen-Adad, et al:

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord

doi.org/10.1162/IMAG...

Updating segmentation models with more data generally improves performance, but what is the impact on the derived metrics? How stable are these metrics along model lifetime? Naga Karthik, Jan Valošek, @sandbedard.bsky.social and collaborators address this question in this latest publication 👇

Check out our latest publication with co-first author @sandbedard.bsky.social from the Neuromuscular Insight lab @drkenweber.bsky.social!
See some extra blue? We found some very intriguing spinal cord deactivation during motor tasks ⬇️

Check out our latest publication with
@neurovale.bsky.social @jcohenadad.bsky.social
@drkenweber.bsky.social , and Jan Valošek about using nerve rootlet information to register spinal cord images to the PAM50 template👇

Are you tired of getting signal dropout in your gradient echo EPI for spinal cord fMRI applications? Check out this new shimming study by Bréheret, D'Astous, Ma, Stockmann 🚀

👉 doi.org/10.1002/mrm....

Very excited to share our latest preprint with co-first author @sandbedard.bsky.social from @drkenweber.bsky.social’s lab! We used simultaneous brain and spinal cord fMRI to map the neural correlates of hand function. Feedback is appreciated! ⬇️

Checkout our latest publication 👇