Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

The rapid advancements in machine learning, graphics processing technologies and the
availability of medical imaging data have led to a rapid increase in the use of deep learning …

Image registration is a fundamental medical image analysis task, and a wide variety of
approaches have been proposed. However, only a few studies have comprehensively …

What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …

With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …

Affine registration is indispensable in a comprehensive medical image registration pipeline.
However, only a few studies focus on fast and robust affine registration algorithms. Most of …

Image registration and fusion algorithms exist in almost every software system that creates
or uses images in radiotherapy. Most treatment planning systems support some form of …

The integration of adaptive radiation therapy (ART), or modifying the treatment plan during
the treatment course, is becoming more widely available in clinical practice. ART offers …

Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …

This paper presents a novel unsupervised approach to detect cyber attacks in Cyber-
Physical Systems (CPS). We describe an unsupervised learning approach using a …