slicersalt

ShapePopulationViewer

ShapePopulationViewer is a software that allows you to dynamically interact with multiple surfaces at the same time

shape4D

RegistrationBasedCorrespondence

MeshLib

SurfRemesh

GROUPS

Fork for SlicerSALT packaging, official repository at https://github.com/NIRALUser/GROUPS

SPHARM-PDM

Fork for SlicerSALT packaging, official repository at https://github.com/NIRALUser/SPHARM-PDM

slicersalt.github.io

SlicerSALT website

ITKShape

ITK-Based Shape Analysis Filters (e.g Procrustes Alignment for Meshes)

SlicerDWD

3D Slicer extension for Shape Analysis with DWD (Distance Weighted Discrimination)

SlicerDentalModelSeg

Fork for SlicerSALT packaging, official repository at https://github.com/DCBIA-OrthoLab/SlicerDentalModelSeg

ShapeVariationAnalyzer

Shape modeling and classification, extract shape features

Slicer

Multi-platform, free open source software for visualization and image computing.

dwd

A python package implementing the distance weighted discrimination classifier

RigidAlignment

Fork for SlicerSALT packaging, official repository at https://github.com/NIRALUser/RigidAlignment

MeshToLabelMap

3DMetricTools

3DMeshMetric is a visualization tool that computes and displays surface-to-surface distance between two triangle meshes using user-specified uniform sampling (based on the source code of MeshValmet: http://www.nitrc.org/projects/meshvalmet).

ProcrustesRegistrationModule

MFSDA_Python

Multivariate Functional Shape Data Analysis in Python (MFSDA_Python) is a Python based package for statistical shape analysis. A multivariate varying coefficient model is introduced to build the association between the multivariate shape measurements and demographic information and other clinical, biological variables. Statistical inference, i.e., hypothesis testing, is also included in this package, which can be used in investigating whether some covariates of interest are significantly associated with the shape information. The hypothesis testing results are further used in clustering based analysis, i.e., significant suregion detection. This MFSDA package is developed by Chao Huang and Hongtu Zhu from the BIG-S2 lab.

eigen-git-mirror

Git mirror of the official Eigen's repository -- PULL REQUEST MUST BE SENT TO: https://bitbucket.org/eigen/eigen

shapeAnalysisMANCOVA

shapeAnalysisMANCOVA offers statistical shape analysis based on a parametric boundary description (SPHARM) as the point-based model computing method