The semantic image segmentation task consists of classifying each pixel of an image into an
instance, where each instance corresponds to a class. This task is a part of the concept of …

A decade of research and development in resting‐state functional MRI (RSfMRI) has
opened new translational and clinical research frontiers. This review aims to bridge between …

We present a study of multiple sclerosis segmentation algorithms conducted at the
international MICCAI 2016 challenge. This challenge was operated using a new open …

Introduction Automatic functional volume segmentation in PET images is a challenge that
has been addressed using a large array of methods. A major limitation for the field has been …

The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative
research platform developed in response to the challenges raised by data-heavy, compute …

This special issue and our editorial celebrate 10 years of progress with data-intensive or
scientific workflows. There have been very substantial advances in the representation of …

This paper presents a new lossy image compression technique which uses singular value
decomposition (SVD) and wavelet difference reduction (WDR). These two techniques are …

Quantification of cardiac deformation and strain with 3D ultrasound takes considerable
research efforts. Nevertheless, a widespread use of these techniques in clinical practice is …

Objectives. Radiomic features extracted from diverse MRI modalities have been investigated
regarding their predictive and/or prognostic value in a variety of cancers. With the aid of a 3D …

In this study, we propose a novel anomaly detection model targeting subtle brain lesions in
multiparametric MRI. To compensate for the lack of annotated data adequately sampling the …