Life exists in three dimensions, but until the turn of the century most electron microscopy
methods provided only 2D image data. Recently, electron microscopy techniques capable of …

Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued
development and standardization of methodologies for biomarkers and has provided an …

Magnetic resonance imaging (MRI) is an important imaging modality in stroke. Computer
based automated medical image processing is increasingly finding its way into clinical …

Molecular diversity of microglia, the resident immune cells in the CNS, is reported. Whether
microglial subsets characterized by the expression of specific proteins constitute subtypes …

Interest in spatial omics is on the rise, but generation of highly multiplexed images remains
challenging, due to cost, expertise, methodical constraints, and access to technology. An …

Vertebral labelling and segmentation are two fundamental tasks in an automated spine
processing pipeline. Reliable and accurate processing of spine images is expected to …

Understanding how neural information is processed in physiological and pathological states
would benefit from precise detection, localization, and quantification of the activity of all …

The dorsal raphe (DR) constitutes a major serotonergic input to the forebrain and modulates
diverse functions and brain states, including mood, anxiety, and sensory and motor …

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 …

Abstract Multiparametric Magnetic Resonance Imaging (MRI) can provide detailed
information of the physical characteristics of rectum tumours. Several investigations suggest …