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SCIInstitute/ShapeWorks

ShapeWorks

SCIInstitute/ShapeWorks

Home
Getting Started
Getting Started
For Users
For Users
Workflow
Workflow
- How to Groom Your Dataset?
- Shape Model Optimization
  Shape Model Optimization
  - How to Optimize Your Shape Model?
  - Optimization Parameters
- How to Analyze Your Shape Model?
Feature Highlights
Feature Highlights
ShapeWorks Studio
ShapeWorks Studio
ShapeWorks Cloud
ShapeWorks Cloud
ShapeWorks Tools
ShapeWorks Tools
- ShapeWorks Commands
ShapeWorks in Python
ShapeWorks in Python
Deep Learning & SSMs
Deep Learning & SSMs
Use Cases
Use Cases
- Getting Started with Use Cases
- Segmentation Based Use Cases
  Segmentation Based Use Cases
- Mesh Based Use Cases
  Mesh Based Use Cases
- Contour Based Use Cases
  Contour Based Use Cases
  - Supershapes:Shape Model for Contour Domains
- Constraints Based Use Cases
  Constraints Based Use Cases
- Multi-Step Optimization Use Cases
  Multi-Step Optimization Use Cases
  - Fixed Domains Ellipsoid: Shape Model on New Shapes
  - Incremental Supershapes: Building a Shape Model Incrementally
- Statistics Based Use Cases
  Statistics Based Use Cases
- Deep Learning Based Use Cases
  Deep Learning Based Use Cases
  - Femur SSM Directly from Images
- Shared Boundary Use Cases
  Shared Boundary Use Cases
  - Peanut:Shape Model of Multiple Domains with Shared Boundaries
- Right Ventricle: Highly Variable Shapes
For Developers
For Developers
Python API Reference
C++ API Reference
C++ API Reference
Java/Matlab Interface
Java/Matlab Interface
- Java Interface
- Matlab Interface
About
About

Table of contents

Files

Libs/Groom

Files

Name
Libs/Groom/Groom.h
Libs/Groom/GroomParameters.h

Updated on 2026-05-28 at 16:46:40 +0000

Copyright © 1998 - 2024 Scientific Computing and Imaging Institute. All rights reserved. This project is supported by the National Institutes of Health under grant numbers NIBIB-U24EB029011, NIAMS-R01AR076120, NHLBI-R01HL135568, and NIBIB-R01EB016701. Software maintenance and support are provided within the funding period.

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