research
∙
09/27/2022
Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI
Deep learning has been demonstrated effective in many neuroimaging appli...
share
research
∙
07/22/2022
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies
Deep neural networks currently provide the most advanced and accurate ma...
research
∙
09/08/2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
Neuroimaging biomarkers that distinguish between typical brain aging and...
research
∙
10/11/2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
Conventional and deep learning-based methods have shown great potential ...
research
∙
09/30/2020
DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI
Background: Cerebral microbleeds (CMBs) and non-hemorrhage iron deposits...
research
∙
07/03/2019
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
Segmentation has been a major task in neuroimaging. A large number of au...
research
∙
04/15/2019
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI
Introduction: It is challenging at baseline to predict when and which in...
research
∙
09/05/2017