12 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

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

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

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.

Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the...

In vivo rat brain data acquired using a 14.1 T small animal scanner with different MRI consoles.

The Human Connectome Project (HCP) dataset contains volumetric task fMRI activation maps from the Human Connectome Project 1200 dataset (HCP1200) distribution, for the 965...