Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …

Deep learning has become the most widely used approach for cardiac image segmentation
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …

As a subfield of machine learning, reinforcement learning (RL) aims at optimizing decision
making by using interaction samples of an agent with its environment and the potentially …

Discovering new treatments and personalizing existing ones is one of the major goals of
modern clinical research. In the last decade, Artificial Intelligence (AI) has enabled the …

Deep reinforcement learning (DRL) augments the reinforcement learning framework, which
learns a sequence of actions that maximizes the expected reward, with the representative …

Automatic detection of anatomical landmarks is an important step for a wide range of
applications in medical image analysis. Manual annotation of landmarks is a tedious task …

Autonomous ultrasound (US) acquisition is an important yet challenging task, as it involves
interpretation of the highly complex and variable images and their spatial relationships. In …

There have been tremendous improvements in deep learning and reinforcement learning
techniques. Automating learning and intelligence to the full extent remains a challenge. The …

The detection of anatomical landmarks is a vital step for medical image analysis and
applications for diagnosis, interpretation and guidance. Manual annotation of landmarks is a …

The robust delineation of the cochlea and its inner structures combined with the detection of
the electrode of a cochlear implant within these structures is essential for envisaging a safer …