Conditional generative adversarial networks for the prediction of cardiac contraction from individual frames
Cardiac anatomy and function are interrelated in many ways,and these relations can be affected by multiple pathologies. In particular,this applies to ventricular shape and mechanical deformation. We pro-pose a machine learning approach to capture these interactions by using a conditional Generative...
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| Format: | Conference item |
| Language: | English |
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Springer
2020
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