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Multi-objective point cloud autoencoders for explainable myocardial infarction prediction
Marcel Beetz, Abhirup Banerjee, Vicente Grau
Myocardial infarction (MI) is one of the most common causes of death in the world. Image-based biomarkers commonly used in the clinic, such as ejection fraction, fail to capture mo…
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks
Marcel Beetz, Yilong Yang, Abhirup Banerjee +2
Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with associated clinical decision-making typically based on single-valued imaging biomarkers. Howeve…
Deep Computational Model for the Inference of Ventricular Activation Properties
Lei Li, Julia Camps, Abhirup Banerjee +3
Patient-specific cardiac computational models are essential for the efficient realization of precision medicine and in-silico clinical trials using digital twins. Cardiac digital t…