Neel Dey is a postdoctoral researcher at MIT CSAIL in Polina Golland’s Medical Vision Group, where he is building dense representation learning and domain randomization methods for data and compute-efficient learning tasks. Neel got his Ph.D. from New York University under Guido Gerig where he worked on generative models and inverse problems in medical image analysis.
E(3) x SO(3) - Equivariant Networks for Spherical Deconvolution in Diffusion MRI
AnyStar: Domain randomized universal star-convex 3D instance segmentation
