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Computational Anatomy and Biomechanics

Simulation, Optimization, and Systems

Overview

Computational anatomy incorporates the use of geometric- and statistics-based mathematical techniques to analyze and understand the variation in human form and structure. Biomechanics represents one family of methods by which we can evaluate and understand the biological design of humans — specifically, the relationship between form and function — within the larger contexts of physical abilities and behaviour.

Associated Researchers

Jacky Bibliowicz

Manager, Research Science
View all researchers

Related Resources

See what’s new.

Publication

2023

3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows

3DALL-E integrated three large AI models within Fusion 360 to explore…

Read more 3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows
Publication

2019

Unsupervised Multi-Task Feature Learning on Point Clouds

We introduce an unsupervised multi-task model to jointly learn point…

Read more Unsupervised Multi-Task Feature Learning on Point Clouds
Publication

2019

Relational Graph Representation Learning for Open-Domain Question Answering

We introduce a relational graph neural network with bi-directional…

Read more Relational Graph Representation Learning for Open-Domain Question Answering
Publication

2012

Programming and Controlling Self-Folding Robots

This paper describes a robot in the form of a self-folding sheet that…

Read more Programming and Controlling Self-Folding Robots

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