Jianningli

medshapenet-feedback

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

autoimplant

A Baseline Approach for the AutoImplant Challenge

SparseCNN

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution

MIA

Repository for 'Automatic Skull Defect Restoration and Cranial Implant Generation for Cranioplasty'. Skull Shape Completion Using Deep Learning (High resolution Volumetric Shape Completion)

tmi

A collection of the papers/codes and datasets associated with the MICCAI 2020 Cranial Implant Design Challenge.

voxel_rearrangement

Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation

mug500plus

MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants

skullVAE

training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder

ssm

Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model

Autoimplant_II

code repository for AutoImplant II submissions

Morton3D

Efficient Pythonic Implementation of 3D Morton Encoding and Decoding.

Jianningli

Jianningli.github.io

monaiSkullRec

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

SciData

shapemi.github.io