16 datasets found

The Stanford Fullysampled 3D FSE Knees dataset is a public MRI dataset of 20 fully-sampled k-space volumes of knees.

The Stanford 2D FSE dataset is a public dataset of 89 fully-sampled MRI volumes of various anatomies.

The pre-processed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data.

Skull Stripping involves separating brain tissue, including grey matter and white matter, from non-brain voxels such as the skull, scalp, and dura mater.

The Brain Tumor Segmentation (BraTS) Challenge 2021 dataset, which provides a valuable resource for addressing challenges specific to resource-limited settings, particularly the...

In-vivo fully sampled T2-weighted k-space data from MR scanner

Fully sampled multi-coil k-space data from the scanner, retrospectively under-sampled to optimize the under-sampling pattern of in-vivo k-space data

A dataset for testing the proposed method for sparse spherical deconvolution.

A dataset for testing the proposed method for sparse spherical deconvolution.

The dataset used in this paper is a simulated motion dataset for MRI scans, created to test the proposed motion correction method.

The dataset consists of T1-weighted brain MRI images of adults, with manual segmentation of anatomical structures provided.

Anomaly detection is the process of identifying atypical data samples that significantly deviate from the majority of the dataset. In the realm of clinical screening and...

The BrainWeb database is a collection of MRI images with known noise levels.

The dataset consists of T1-weighted brain MRI images of patients, with manual segmentation of anatomical structures provided.

The Rician distribution of noisy MRI data.

A dataset of multiparametric MRI images of cervical cancer patients for segmentation and analysis.