White matter tract segmentation with self-supervised learning
Q Lu, Y Li, C Ye - Medical Image Computing and Computer Assisted …, 2020 - Springer
White matter tract segmentation based on diffusion magnetic resonance imaging (dMRI)
plays an important role in brain analysis. Deep learning based methods of white matter tract …
plays an important role in brain analysis. Deep learning based methods of white matter tract …
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks
Q Lu, Y Li, C Ye - Medical Image Analysis, 2021 - Elsevier
White matter (WM) tract segmentation based on diffusion magnetic resonance imaging
(dMRI) provides an important tool for the analysis of brain development, function, and …
(dMRI) provides an important tool for the analysis of brain development, function, and …
[HTML][HTML] Volumetric segmentation of white matter tracts with label embedding
Convolutional neural networks have achieved state-of-the-art performance for white matter
(WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). However …
(WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI). However …
One-shot segmentation of novel white matter tracts via extensive data augmentation
Deep learning based methods have achieved state-of-the-art performance for automated
white matter (WM) tract segmentation. In these methods, the segmentation model needs to …
white matter (WM) tract segmentation. In these methods, the segmentation model needs to …
Reproducible white matter tract segmentation using 3D U-Net on a large-scale DTI dataset
Tract-specific diffusion measures, as derived from brain diffusion MRI, have been linked to
white matter tract structural integrity and neurodegeneration. As a consequence, there is a …
white matter tract structural integrity and neurodegeneration. As a consequence, there is a …
A systematic review of automated methods to perform white matter tract segmentation
White matter tract segmentation is a pivotal research area that leverages diffusion-weighted
magnetic resonance imaging (dMRI) for the identification and mapping of individual white …
magnetic resonance imaging (dMRI) for the identification and mapping of individual white …
Deep white matter analysis: fast, consistent tractography segmentation across populations and dMRI acquisitions
We present a deep learning tractography segmentation method that allows fast and
consistent white matter fiber tract identification across healthy and disease populations and …
consistent white matter fiber tract identification across healthy and disease populations and …
Knowledge transfer for few-shot segmentation of novel white matter tracts
Q Lu, C Ye - Information Processing in Medical Imaging: 27th …, 2021 - Springer
Convolutional neural networks (CNNs) have achieved state-of-the-art performance for white
matter (WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI) …
matter (WM) tract segmentation based on diffusion magnetic resonance imaging (dMRI) …
A registration-and uncertainty-based framework for white matter tract segmentation with only one annotated subject
White matter (WM) tract segmentation based on diffusion magnetic resonance imaging
(dMRI) plays an important role in the analysis of human health and brain diseases …
(dMRI) plays an important role in the analysis of human health and brain diseases …
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer
The use of convolutional neural networks (CNNs) has allowed accurate white matter (WM)
tract segmentation on diffusion magnetic resonance imaging (dMRI). To train the CNN …
tract segmentation on diffusion magnetic resonance imaging (dMRI). To train the CNN …