Search Results for author:
Found 4 papers, 2 papers with code
Deep Active Surface Models
Active Surface Models have a long history of being useful to model complex 3D surfaces but only Active Contours have been used in conjunction with deep networks, and then only to produce the data term as well as meta-parameter maps controlling them.
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
CNN-based volumetric methods that label individual voxels now dominate the field of biomedical segmentation.
Probabilistic Atlases to Enforce Topological Constraints
Probabilistic atlases (PAs) have long been used in standard segmentation approaches and, more recently, in conjunction with Convolutional Neural Networks (CNNs).
Modeling Brain Circuitry over a Wide Range of Scales
If we are ever to unravel the mysteries of brain function at its most fundamental level, we will need a precise understanding of how its component neurons connect to each other.
