Powdery mildews are phytopathogens whose growth and reproduction are entirely dependent
on living plant cells. The molecular basis of this life-style, obligate biotrophy, remains …

Abstract Machine learning analysis of neuroimaging data can accurately predict chronological
age in healthy people. Deviations from healthy brain ageing have been associated with …

Pattern recognition methods using neuroimaging data for the diagnosis of Alzheimer's disease
have been the subject of extensive research in recent years. In this paper, we use deep …

We present a novel approach to automatically segment magnetic resonance (MR) images
of the human brain into anatomical regions. Our methodology is based on a deep artificial …

Brown adipocytes dissipate energy, whereas white adipocytes are an energy storage site.
We explored the plasticity of different white adipose tissue depots in acquiring a brown …

In cardiac magnetic resonance imaging, fully-automatic segmentation of the heart enables
precise structural and functional measurements to be taken, eg from short-axis MR images of …

Purpose To develop and test an artificial intelligence (AI) system, based on deep convolutional
neural networks (CNNs), for automated real-time triaging of adult chest radiographs on …

There is growing interest in performing genome-wide searches for associations between
genetic variants and brain imaging phenotypes. While much work has focused on single scalar …

Imaging of cancer with 18 F-fluorodeoxyglucose positron emission tomography ( 18 F-FDG
PET) has become a standard component of diagnosis and staging in oncology, and is …

X chromosome inactivation involves multiple levels of chromatin modification, established
progressively and in a stepwise manner during early development. The chromosomal protein …