68 datasets found

The clinical dataset is a public dataset for medical imaging.

MRI images of knee joint for cartilage defect diagnosis

MRI images of knee joint for cartilage defect diagnosis

A dataset of 3D MRI volumes with 19 features for thalamic nuclei parcellation, including noisy annotations.

The BraTS 2018 training dataset included 285 cases (210 HGG and 75 LGG), each with four 3D MRI modalities (T1, T1c, T2 and FLAIR) rigidly aligned, resampled to 1x1x1 mm...

The heart dataset constitutes 30 MRI scans from a single cardiac phase of the heart. Each image has a voxel resolution of 1.25mm3. Segmentation is carried out using an automated...

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.

Focal cortical dysplasia (FCD) dataset for automatic detection of FCD on magnetic resonance images (MRI)

MRI images of pancreas for IPMN classification

The dataset used in this paper for reconstructing sparsely sampled MRI data, including brain and knee images.

MRI thigh muscle segmentation dataset

The dataset used in this paper is a collection of reconstructed T2-weighted MRI scans of fetuses, as well as T1- and T2-weighted MRI scans of 40 newborns.

The dataset used in this paper is a collection of reconstructed T2-weighted MRI scans of fetuses, as well as T1- and T2-weighted MRI scans of 40 newborns.

MRI scans appearance significantly depends on scanning protocols and, consequently, the data-collection institution. These variations between clinical sites result in dramatic...

MRI reconstruction dataset for unpaired training

MRI reconstruction dataset for unpaired training

IXI contains coil-combined magnitude images for T1-, T2- and PD-weighted acquisition emulated as single-coil data.

U2MRPD is a novel unsupervised framework for the reconstruction of undersampled MRI data.

Curated T1w MRI and CT scans from diverse sources, including the CERMEP-iDB-MRXFDG, OASIS3, NeuroMorphometrics1, IXI 2, and an in-house dataset.