Motivated by the rapid and current progress to develop intelligent image-guided intervention
tools, we aim in this paper to present, a recent review of a specific family of deep learning …

Functional magnetic resonance imaging (fMRI) is a non-invasive technique that is widely
available and can be used to determine the spatial relationships between tumor tissue and …

We introduce Atropos, an ITK-based multivariate n-class open source segmentation
algorithm distributed with ANTs (http://www. picsl. upenn. edu/ANTs). The Bayesian …

Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of
Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a …

The purpose of this study was to investigate an information theoretic approach to feature
selection for computer‐aided diagnosis (CAD). The approach is based on the mutual …

The conductivity of the human skull plays an important role in source localization of brain
activity, because it is low as compared to other tissues in the head. The value usually taken …

Multi‐modal data of the complex human anatomy contain a wealth of information. To
visualize and explore such data, techniques for emphasizing important structures and …

There is increasing interest in being able to automatically register medical images from
either the same or different modalities. Registered images are proving useful in a range of …

Image registration is finding increased clinical use both in aiding diagnosis and guiding
therapy. There are numerous algorithms for registration, which all involve maximizing a …

Prediction or early-stage diagnosis of Alzheimer's disease (AD) requires a comprehensive
understanding of the underlying mechanisms of the disease and its progression …