Abstract: Heart disease has become very common nowadays. Machine learning-based heart disease prediction has significant potential in clinical applications, enhancing early diagnosis and treatment.

Abstract: Uncertainty quantification plays an important role in achieving trustworthy and reliable learning-based computational imaging. Recent advances in generative modeling and Bayesian neural ...