Abstract Machine learning in medical imaging often faces a fundamental dilemma, namely,
the small sample size problem. Many recent studies suggest using multi-domain data …

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the
potential to fundamentally transform the practice of medicine and the delivery of healthcare …

Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Click-based interactive image segmentation aims at extracting objects with a limited user
clicking. A hierarchical backbone is the de-facto architecture for current methods. Recently …

Deep neural networks currently provide the best quantitative models of the response
patterns of neurons throughout the primate ventral visual stream. However, such networks …