26 datasets found

The Human Connectome Project minimally preprocessed young adult dataset imaging data and associated NIH toolbox measures are used to train a deep learning model to predict...

Diffusion MRI dataset with incomplete FOV, used for imputing missing slices and improving tractography accuracy

Diffusion MRI dataset with incomplete FOV, used for imputing missing slices and improving tractography accuracy

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.

Dipy is a library for the analysis of diffusion MRI data.

DELIMIT is a framework extension for deep learning in dif-fusion imaging, which extends the basic framework PyTorch towards spherical signals.

A large, harmonized dMRI dataset from the Human Connectome Project and the Chinese Human Connectome Project

A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations

The dataset used for testing the proposed method for white matter tract segmentation

Diffusion Magnetic Resonance Imaging (dMRI) dataset for high-resolution 3D diffusion MRI reconstruction from undersampled data

The ISMRM tractography challenge dataset is used to evaluate the proposed method for learned optimal q-space sampling in diffusion MRI.

Physics-informed deep diffusion MRI reconstruction: Break the bottleneck of training data in artificial intelligence.

A paired phase and magnitude reconstruction for advanced diffusion-weighted imaging.

POCS-enhanced inherent correction of motion-induced phase errors (POCS-ICE) for high-resolution multishot diffusion MRI.

Diffusion MRI (dMRI) is an essential neuroimaging technique with high acquisition costs. Deep learning approaches have been used to enhance dMRI and predict diffusion biomarkers...

Real diffusion MRI data acquired using a SIEMENS 3T Magnetom Prisma MR scanner

Synthetic diffusion MRI data generated using Phantomαs

Diffusion magnetic resonance imaging (dMRI) is the only non-invasive method for in-vivo mapping of the human brain white matter (WM).

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.

Simulated DW-MRI data for mean kurtosis estimation