Artificial intelligence (AI) has been positioned as being the most important recent
advancement in radiology, if not the most potentially disruptive. Singapore radiologists have …

In this paper, we present a simple approach to train Generative Adversarial Networks
(GANs) in order to avoid a mode collapse issue. Implicit models such as GANs tend to …

Advances in deep neural networks (DNNs) have led to impressive results and in recent
years many works have exploited DNNs for anomaly detection. Among others, generative …

Banknote recognition and medical image analysis have been the foci of image processing
and pattern recognition research. As counterfeiters have taken advantage of the innovation …

Face recognition has been one of the most challenging areas of research in biometrics and
computer vision. Many face recognition algorithms are designed to address illumination and …

A novelty detector incudes a generator configured to output reconstructed data from actual
data; and a discriminator configured to receive the actual data as well as the reconstructed …