Published September 13, 2022
| Version v1
Dataset
Open
Data From: Emulation of Cardiac Mechanics using Graph Neural Networks
Description
Contains simulation results of the forward displacement from beginning to end-diastole for approximately 3000 synthetically generated left ventricle geometries.
The simulation results are split into training, validation and test data.
The data is described in detail in a forthcoming publication in Computer Methods in Applied Mechanics and Engineering - further information will be provided upon publication. A GitHub repository will also be made available, with code for processing the simulation data and training a Graph Neural Network emulator.
Files
lvData.zip
Files
(1.8 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:96987da42e159c205fa4aeb30cd5526e
|
1.8 GB | Preview Download |
Additional details
Funding
- UK Research and Innovation
- SofTMech with MIT and POLIMI (SofTMechMP) EP/S030875/1
- UK Research and Innovation
- A whole-heart model of multiscale soft tissue mechanics and fluid structure interaction for clinical applications (Whole-Heart-FSI) EP/S020950/1
- UK Research and Innovation
- The SofTMech Statistical Emulation and Translation Hub EP/T017899/1