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Found 9 papers, 0 papers with code
Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI
Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure.
Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites
First, we plotted the graph measures and used coefficient of variation (CoV) and the Mann-Whitney U test to evaluate different methods' effectiveness in removing site effects on the matrices and the derived graph measures.
Predicting Age from White Matter Diffusivity with Residual Learning
We find that the ResNet model captures subtler, non-macrostructural features for brain age prediction.
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury
We then applied independent component analysis (ICA) both to each PCA space individually and together in a joint ICA approach.
Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI
Herein, we explore the possibility of using deep learning on single shell data (using the b=1000 s/mm2 from the Human Connectome Project (HCP)) to estimate the information content captured by 8th order MT-CSD using the full three shell data (b=1000, 2000, and 3000 s/mm2 from HCP).
MRI correlates of chronic symptoms in mild traumatic brain injury
Veterans with mild traumatic brain injury (mTBI) have reported auditory and visual dysfunction that persists beyond the acute incident.
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
Confocal histology provides an opportunity to establish intra-voxel fiber orientation distributions that can be used to quantitatively assess the biological relevance of diffusion weighted MRI models, e. g., constrained spherical deconvolution (CSD).
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE
In the in-vivo human data, Deep SHORE was more consistent across scanners with 0. 63 relative to other multi-shell methods 0. 39, 0. 52 and 0. 57 in terms of ACC.
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning
Herein, we propose a data-driven tech-nique using a neural network design which exploits two categories of data.
