3D U-Net model for volumetric semantic segmentation written in pytorch
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Fuse multiple depth frames into a TSDF voxel volume.
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
3D Deep Learning works
Read and write Neuroglancer datasets programmatically.
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial ...
The implementation of 3D-UNet using PyTorch
ForkNet: Adversarial Semantic Scene Completion from a Single Depth Image...
Marching Cubes & Mesh Simplification on multi-label 3D images.
[MICCAI'2020 PRIME] Uniformizing Techniques to Process CT scans with 3D ...
Compose chunk operators to create a pipeline for local or distributed pe...
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, C...