14 datasets found

The dataset used in this study is a large-scale fMRI dataset acquired from 499 healthy adults. The dataset contains task-evoked fMRI data, which is preprocessed and registered...

The PHENOM consortium dataset contains neuroimaging data from 5,456 individuals, including 2,456 individuals with schizophrenia.

The dataset used in this paper is a human connectome, a graph with vertices corresponding to locations in a human brain and edges which reflect functional adjacency.

A dataset of 10,520 brain MRI scans acquired at Massachusetts General Hospital, used for evaluation of the proposed segmentation method.

A dataset of more than 10,000 uncurated, heterogeneous brain MRI scans acquired at Massachusetts General Hospital.

The dataset used in this paper is a set of inhomogeneous domains with subdomains, and a set of samples s[k] taken from a continuous function s(x).

The dataset used in this paper is a clinical fMRI dataset from the UCLA Consortium for Neuropsychiatric Phenomics.

Photoacoustic tomography (PAT) datasets for neuroimaging with deep learning

Photoacoustic tomography (PAT) datasets for neuroimaging with deep learning

Photoacoustic tomography (PAT) datasets for neuroimaging with deep learning

Photoacoustic tomography (PAT) datasets for neuroimaging with deep learning

The WU-Minn Human Connectome Project (HCP) dataset is used for training and quantitative comparison.

The Human Connectome Project (HCP) dataset, containing cortical surface meshes and metrics (sulcal depth, curvature, cortical thickness and T1w/T2w myelination) derived from T1-...

The dataset used for testing the self-similarity-based super-resolution model for photoacoustic angiography.