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Welcome to the CemrgApp Home Page

The Cardiac Electro-Mechanics Research Group Application (CemrgApp) is a platform with custom image processing and computer vision toolkits for applying statistical, machine learning, and simulation approaches to cardiovascular data. CemrgApp provides an integrated environment, where cardiac data visualisation and workflow prototyping are presented through a common user friendly graphical interface.

External links:

• Download our latest version
• Source code on Github
• Visit our wiki Page

About

CemrgApp has different perspectives, small apps with a specific purpose. Check the Resources page to learn more. Currently, the available perspectives are:

• Motion Quantification
• Anatomical Measurements
• Scar Quantification
• Morphological Measurements
• Electrophysiology Simulations

Cite us

If you use CemrgApp in your project, please cite the following article:

Razeghi O, Solís-Lemus J, Lee A et al. CemrgApp: An interactive medical imaging application with image processing, computer vision, and machine learning toolkits for cardiovascular research. SoftwareX. 2020;12:100570. doi:10.1016/j.softx.2020.100570

@article{RAZEGHI2020100570,
	title = {CemrgApp: An interactive medical imaging application with image processing, computer vision, and machine learning toolkits for cardiovascular research},
	journal = {SoftwareX},
	volume = {12},
	pages = {100570},
	year = {2020},
	issn = {2352-7110},
	doi = {https://doi.org/10.1016/j.softx.2020.100570},
	url = {https://www.sciencedirect.com/science/article/pii/S2352711020302831},
	author = {Orod Razeghi and José Alonso Solís-Lemus and Angela W.C. Lee and Rashed Karim and Cesare Corrado and Caroline H. Roney and Adelaide {de Vecchi} and Steven A. Niederer}
}