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 …

The topic of this review is geometric registration in robotics. Registration algorithms
associate sets of data into a common coordinate system. They have been used extensively …

In this paper, we propose a deep learning approach for image registration by predicting
deformation from image appearance. Since obtaining ground-truth deformation fields for …

Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

Segmentation of anatomical structures, from modalities like computed tomography (CT),
magnetic resonance imaging (MRI) and ultrasound, is a key enabling technology for medical …

Computer vision and image processing algorithms form essential components of many
industrial, medical, commercial, and research-related applications. Modern imaging systems …

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

Over the past decade, deep learning technologies have greatly advanced the field of
medical image registration. The initial developments, such as ResNet-based and U-Net …

With the technology development of medical industry, processing data is expanding rapidly
and computation time also increases due to many factors like 3D, 4D treatment planning, the …

We catalogue available software solutions for non-rigid image registration to support
scientists in selecting suitable tools for specific medical registration purposes. Registration …