Jan Valosek
@ValosekJan
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Postdoctoral Researcher @PolyNeuro (@Polymtl) & @Mila_Quebec | Magnetic Resonance Imaging 𧲠| Spinal Cord Injury π§ | Deep Learning π» | Open Science π |
Montreal, Canada
Joined August 2012
RT @jcohenadad: Are you interested in imaging the spinal cord at 7T? Not sure what coil to use? Check out this recent work led by @EvaAlonsβ¦.
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RT @jcohenadad: Having trouble segmenting the spinal cord on T1w? T2w? MP2RAGE? EPI? PSIR? STIR? FLAIR? Check out this work by @SandBedardβ¦.
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RT @SpinalToolbox: π’ We are happy to announce that we will be hosting a free virtual Spinal Cord Toolbox (SCT) Course on December 9-10, 202β¦.
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Check out our recent work on automatic assessment of #SpinalCordInjury #MRI scans, now available in @SpinalToolbox! π.
#SCIseg accurately segmented intramedullary lesions on a diverse dataset of T2-w MRIs @ValosekJan @DrKenWeber @SpinalToolbox #OpenSource #spine #AI
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RT @jcohenadad: Want to know more about B0 Shimming at ultra-high field π§²? Alexandre D'Astous and I will present latest developments on advβ¦.
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RT @jcohenadad: Interested in 7T imaging of the spinal cord? Check out this article by Daniel Papp and collaborators at @neuropoly @TheNeurβ¦.
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RT @SpinalToolbox: We are happy to announce that a new version of SCT (v6.4) has been released! π. Check out our announcement on @INCForg'sβ¦.
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π Huge thanks to all co-authors for an incredible international collaboration. π Special thanks to my colleagues from the NeuroPoly lab for their feedback and the four (4!) reviewers whose thorough reviews greatly improved our study. Also, thanks to @MSCActions! π πͺπΊ.2/2.
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π Excited to share our latest study published in Imaging Neuroscience!.π We introduce a deep learning-based method for the automatic segmentation of spinal nerve rootlets from MRI images. β»οΈ The method is open-source and available as part of the Spinal Cord Toolbox (SCT)!.1/2.
New paper in Imaging Neuroscience by Jan ValoΕ‘ek, Julien Cohen-Adad, et al:. Automatic segmentation of the spinal cord nerve rootlets.
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What a fantastic #ISMRM2024 conference! π Thanks to my colleagues from @PolyNeuro for their hard work on our projects and @MSCActions for funding my research! ππ¬
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RT @jcohenadad: Having trouble segmenting the spinal cord on EPI data? PSIR? STIR? MP2RAGE? Compressed cord? Check out the work by @SandBedβ¦.
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π Stop by and check out our latest work at this year's ISMRM! #ISMRM2024π§²π§ .
I will be giving an oral presentation on SCIseg at the"Advanced MRI Methods in CNS Trauma" session tomorrow (May 6th) at 17:24 pm Singapore time at the Summit 1 Hall. Do stop by if you want to learn more about spinal cord trauma! #ISMRM2024 @ISMRM.
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RT @SpinalToolbox: Interested in reproducible spinal cord quantitative MRI analysis with the Spinal Cord Toolbox? Check out this latest pubβ¦.
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π Check out the latest SCT version featuring several new segmentation models (contrast-agnostic softseg, SCI lesion/SC seg, spinal nerve rootlet seg, mouse GM/WM seg) and many more!.
We are happy to announce that a new version of SCT (v6.2) has been released! π. Check out our announcement on @INCForg's @neuroquestion forum:
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Check out our latest paper on spinal cord normative database of 203 adult subjects!. The database is part of the @SpinalToolbox v6.0 and higher, and you can use it to compare cross-sectional area and other morphometrics computed in your study!.@SandBedard @jcohenadad.
New paper in Imaging Neuroscience by Jan ValoΕ‘ek, Julien Cohen-Adad, et al:. A database of the healthy human spinal cord morphometry in the PAM50 template space.
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RT @naga_karthik7: Check out our latest preprint on automatic lesion segmentation in spinal cord injury patients! SCIseg works well on MRIβ¦.
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RT @jcohenadad: You computed #spinalcord cross-sectional area from #MRI using @SpinalToolbox. What next? . You can now compare this value wβ¦.
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RT @SpinalToolbox: We are happy to announce that a new version of SCT (v6.1) has been released! π. Check out our announcement on @INCForg'sβ¦.
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RT @BlosteinNadia: 6/6πTo learn more about what @jcohenadad's group is up to, stay tuned:. π July 15th 2023: release of the open-source Spiβ¦.
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RT @jcohenadad: This article is the culmination of a 5-year process of gathering multi-center data (made publicly available) and providingβ¦.
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