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BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets
Understanding how cognitive functions emerge from brain structure depends on quantifying
how discrete regions are integrated within the broader cortical landscape. Recent work …
how discrete regions are integrated within the broader cortical landscape. Recent work …
Tractostorm: The what, why, and how of tractography dissection reproducibility
Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI)
tractography frequently require manual WM bundle segmentation, often called “virtual …
tractography frequently require manual WM bundle segmentation, often called “virtual …
Local spectral graph convolution for point set feature learning
Feature learning on point clouds has shown great promise, with the introduction of effective
and generalizable deep learning frameworks such as pointnet++. Thus far, however, point …
and generalizable deep learning frameworks such as pointnet++. Thus far, however, point …
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic
segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is …
segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is …
BrainPrint: A discriminative characterization of brain morphology
We introduce BrainPrint, a compact and discriminative representation of brain morphology.
BrainPrint captures shape information of an ensemble of cortical and subcortical structures …
BrainPrint captures shape information of an ensemble of cortical and subcortical structures …
Optimal mass transport for shape matching and comparison
Surface based 3D shape analysis plays a fundamental role in computer vision and medical
imaging. This work proposes to use optimal mass transport map for shape matching and …
imaging. This work proposes to use optimal mass transport map for shape matching and …
Spectral log-demons: diffeomorphic image registration with very large deformations
This paper presents a new framework for capturing large and complex deformations in
image registration and atlas construction. This challenging and recurrent problem in …
image registration and atlas construction. This challenging and recurrent problem in …
[HTML][HTML] Three-dimensional MRI-based statistical shape model and application to a cohort of knees with acute ACL injury
Objective The aim of this study is to develop a novel 3D magnetic resonance imaging (MRI)-
based Statistical Shape Modeling (SSM) and apply it in knee MRIs in order to extract and …
based Statistical Shape Modeling (SSM) and apply it in knee MRIs in order to extract and …
Large‐Scale Analysis of Meniscus Morphology as Risk Factor for Knee Osteoarthritis
Objective Although it is established that structural damage of the meniscus is linked to knee
osteoarthritis (OA) progression, the predisposition to future development of OA because of …
osteoarthritis (OA) progression, the predisposition to future development of OA because of …
Shape analysis of the human brain: a brief survey
The survey outlines and compares popular computational techniques for quantitative
description of shapes of major structural parts of the human brain, including medial axis and …
description of shapes of major structural parts of the human brain, including medial axis and …