We tackle classification based on brain connectivity derived from diffus...
Brain surface-based image registration, an important component of brain ...
Affine image registration is a cornerstone of medical-image processing a...
Motion artifacts are a pervasive problem in MRI, leading to misdiagnosis...
In recent years, learning-based image registration methods have graduall...
We introduce HyperMorph, a framework that facilitates efficient
hyperpar...
The removal of non-brain signal from magnetic resonance imaging (MRI) da...
Training a fully convolutional network for semantic segmentation typical...
Despite advances in data augmentation and transfer learning, convolution...
In neuroimaging, MRI tissue properties characterize underlying neurobiol...
Joint registration of a stack of 2D histological sections to recover 3D
...
We present HyperMorph, a learning-based strategy for deformable image
re...
Most existing algorithms for automatic 3D morphometry of human brain MRI...
Neuroimaging to neuropathology correlation (NTNC) promises to enable the...
We introduce a learning-based strategy for multi-modal registration of i...
Non-rigid cortical registration is an important and challenging task due...
We present a deep learning strategy that enables, for the first time,
co...
Traditional neuroimage analysis pipelines involve computationally intens...
Skullstripping is defined as the task of segmenting brain tissue from a ...
Probabilistic atlas priors have been commonly used to derive adaptive an...
With the advent of convolutional neural networks (CNN), supervised learn...
With the advent of convolutional neural networks (CNN), supervised learn...
Accurate automatic segmentation of brain anatomy from
T_1-weighted (T_1-...
The human thalamus is a brain structure that comprises numerous, highly
...
Nonlinear registration of 2D histological sections with corresponding sl...