In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …

In this paper, we propose a convolutional neural network-based method to automatically
retrieve missing or noisy cardiac acquisition plane information from magnetic resonance …

Myocarditis is a significant cardiovascular disease (CVD) that poses a threat to the health of
many individuals by causing damage to the myocardium. The occurrence of microbes and …

Background: Early detection of cervical cancer may give life to women all over the world.
Pap-smear test and Human papillomavirus test are techniques used for the detection and …

One of the core prerequisites in the diagnosis and treatment of cardiovascular diseases is
accurate segmentation of the myocardium walls and small vessels in cardiac MRI datasets …

Accurate myocardium segmentation across all phases in one cardiac cycle in cine cardiac
magnetic resonance (CMR) scans is crucial for comprehensively cardiac function analysis …

Cardiac arrhythmias are heart rhythm disruptions which can lead to sudden cardiac death.
They require a deeper understanding for appropriate treatment planning. In this thesis, we …

In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. CVDs appear with minor symptoms and progressively get worse. The …

The recent growth of data in cardiac databases has been phenomenal. Cleveruse of these
databases could help find supporting evidence for better diagnosis and treatment planning …

Deep learning (DL) is a special type of machine learning that attains great potency and
flexibility by learning to represent input raw data as a nested hierarchy of essences and …