Neel Dey
@neeldey.bsky.social
www.neeldey.com
Faculty member at Harvard Med/MGH. Likes: biomedical computer vision, representation learning
Previous: Postdoc at MIT CSAIL, PhD from NYU CS
Faculty member at Harvard Med/MGH. Likes: biomedical computer vision, representation learning
Previous: Postdoc at MIT CSAIL, PhD from NYU CS
The trick is that neuronal fibers imaged at in-vivo Diffusion MRI resolution are approximately antipodally symmetric, and we can exploit this redundancy.
Work led by Axel who'll also be presenting and does fantastic work in general.
Work led by Axel who'll also be presenting and does fantastic work in general.
December 10, 2024 at 5:53 PM
The trick is that neuronal fibers imaged at in-vivo Diffusion MRI resolution are approximately antipodally symmetric, and we can exploit this redundancy.
Work led by Axel who'll also be presenting and does fantastic work in general.
Work led by Axel who'll also be presenting and does fantastic work in general.
If you're at #NeurIPS, like equivariant DL, and enjoy geometrically-structured medical images: drop by our poster (11AM E Exh Hall 1410) tomorrow :)
Paper: arxiv.org/abs/2411.11819
We present a fast way to train equivariant nets on spatial grids of spheres, better mapping the brain's white matter.
Paper: arxiv.org/abs/2411.11819
We present a fast way to train equivariant nets on spatial grids of spheres, better mapping the brain's white matter.
December 10, 2024 at 5:44 PM
If you're at #NeurIPS, like equivariant DL, and enjoy geometrically-structured medical images: drop by our poster (11AM E Exh Hall 1410) tomorrow :)
Paper: arxiv.org/abs/2411.11819
We present a fast way to train equivariant nets on spatial grids of spheres, better mapping the brain's white matter.
Paper: arxiv.org/abs/2411.11819
We present a fast way to train equivariant nets on spatial grids of spheres, better mapping the brain's white matter.