Maxime Chamberland

502 posts

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Maxime Chamberland

Maxime Chamberland

@MaxChamb

Tenured Assistant Professor in Scientific Data Visualization @TUeindhoven 🇳🇱🇨🇦| Alum @CUBRICcardiff @DondersInst @USherbrooke | Runs @tractography

The Netherlands Katılım Mayıs 2011
370 Takip Edilen865 Takipçiler
Maxime Chamberland retweetledi
International Society for Tractography
🏔️ IST 2026 in the Canadian Rockies! 🏔️ The 2nd annual meeting of the International Society for Tractography is set for this fall. After Bordeaux, we’re bringing the community together again at the frontiers of #tractography, #dMRI & brain connectivity. 👇 Details
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Maxime Chamberland
Maxime Chamberland@MaxChamb·
Geometry-driven deformation produces short-range U-fibers around the central sulcus; with realistic curvature and organization; again without any diffusion data. This suggests cortical folding provides a powerful anatomical prior for white-matter organization and tractography.
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Maxime Chamberland
Maxime Chamberland@MaxChamb·
How does this work? Starting from a smooth, fetal-like cortex, we place simple radial fibers — then let cortical folding simulation do the rest.
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Maxime Chamberland
Maxime Chamberland@MaxChamb·
🧠New preprint! What if cortical geometry alone already encodes much of white-matter organization? We introduce a subject-specific, reversible cortical folding model that unfolds and refolds the brain from a single T1w MRI — no diffusion, no ML. biorxiv.org/content/10.648…
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Maxime Chamberland
Maxime Chamberland@MaxChamb·
@ViljamiSairanen Scenario: You're after a brain region only been tracked in 1 in a million seeds due to pathology. Either you wait forever, drowning in false positives, or dynamically reinforce parameters that produced that rare streamline on the fly. Smarter tractography 😄
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Maxime Chamberland
Maxime Chamberland@MaxChamb·
@ViljamiSairanen Static preoperative tractograms can quickly become less reliable representations of the current anatomy. It’s not always enough to just move ROIs on a static tractogram. RTT lets clinicians adjust seed points, explore new pathways, and respond to intra-op changes instantly.
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Maxime Chamberland retweetledi
CD_MRI
CD_MRI@CD_MRI·
We're thrilled to announce that the Computational Diffusion MRI Workshop at @MICCAI_Society is back for its 16th year! 🎉 Join us as we explore the latest advances in diffusion MRI research. Stay tuned for updates! #MICCAI #CDMRI2025 cmic.cs.ucl.ac.uk/cdmri/
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Maxime Chamberland retweetledi
Imaging Neuroscience
Imaging Neuroscience@ImagingNeurosci·
New paper in Imaging Neuroscience by Tom Hendriks, Anna Vilanova, and Maxime Chamberland: Implicit neural representation of multi-shell constrained spherical deconvolution for continuous modeling of diffusion MRI doi.org/10.1162/imag_a…
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Maxime Chamberland retweetledi
Le Bihan Denis
Le Bihan Denis@denislb·
In the landscape of medical imaging, few techniques have made as profound an impact as diffusion MRI. As we mark four decades since its introduction in 1985, please check the last article by Pr Iima, Miki and Naganawa: doi.org/10.1007/s11604…
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Maxime Chamberland retweetledi
ISMRM Diffusion Study Group
ISMRM Diffusion Study Group@DiffusionISMRM·
🌟Save the date!📅 The Diffusion Study Group is hosting a workshop on Feb 16-20, 2025, in Kyoto, Japan! Join us to celebrate the 40th anniversary of diffusion MRI! Registration is now open, abstract submission deadline is December 6th! More info👇 ismrm.org/workshops/2025…
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