3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
This study investigates a 3D and fully convolutional neural network (CNN) for subcortical
brain structure segmentation in MRI. 3D CNN architectures have been generally avoided …
brain structure segmentation in MRI. 3D CNN architectures have been generally avoided …
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Abstract The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)
Consortium is a collaborative network of researchers working together on a range of large …
Consortium is a collaborative network of researchers working together on a range of large …
Aerobic exercise alters brain function and structure in Parkinson's disease: a randomized controlled trial
ME Johansson, IGM Cameron… - Annals of …, 2022 - Wiley Online Library
Objective Randomized clinical trials have shown that aerobic exercise attenuates motor
symptom progression in Parkinson's disease, but the underlying neural mechanisms are …
symptom progression in Parkinson's disease, but the underlying neural mechanisms are …
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in
hospitals across the world. These have the potential to revolutionize our understanding of …
hospitals across the world. These have the potential to revolutionize our understanding of …
Data augmentation using learned transformations for one-shot medical image segmentation
Image segmentation is an important task in many medical applications. Methods based on
convolutional neural networks attain state-of-the-art accuracy; however, they typically rely on …
convolutional neural networks attain state-of-the-art accuracy; however, they typically rely on …
Glymphatic system impairment in multiple sclerosis: relation with brain damage and disability
Recent evidence has shown the existence of a CNS 'waste clearance'system, defined as the
glymphatic system. Glymphatic abnormalities have been described in several …
glymphatic system. Glymphatic abnormalities have been described in several …
Deep learning based brain tumor segmentation: a survey
Brain tumor segmentation is one of the most challenging problems in medical image
analysis. The goal of brain tumor segmentation is to generate accurate delineation of brain …
analysis. The goal of brain tumor segmentation is to generate accurate delineation of brain …
[HTML][HTML] Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
UK Biobank is a large-scale prospective epidemiological study with all data accessible to
researchers worldwide. It is currently in the process of bringing back 100,000 of the original …
researchers worldwide. It is currently in the process of bringing back 100,000 of the original …
Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Medical imaging has enormous potential for early disease prediction, but is impeded by the
difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to …
difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to …
Sex differences in the adult human brain: evidence from 5216 UK biobank participants
Sex differences in the human brain are of interest for many reasons: for example, there are
sex differences in the observed prevalence of psychiatric disorders and in some …
sex differences in the observed prevalence of psychiatric disorders and in some …