-
Wrist Images
The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline -
Abdomen Images
The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline -
Heart Images
The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline -
Spine Images
The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline -
Brain Images
The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline -
Large Phantom
The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline -
ACR Phantom
The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline -
MRI Reconstruction Dataset
The dataset used in this paper for reconstructing sparsely sampled MRI data, including brain and knee images. -
Stanford Fully Sampled 3D FSE Knees dataset
The Stanford Fully Sampled 3D FSE Knees dataset is used for MRI reconstruction task. It contains 3D Cartesian proton-density knee scans of 20 healthy volunteers. -
Kirby21 dataset
The Kirby21 dataset is used for Magnetic Resonance Imaging (MRI) reconstruction. It consists of 5460 slices of size 256x256 taken from 42 T1-weighted MPRAGE volumes. -
IXI: A multi-contrast MRI dataset
IXI contains coil-combined magnitude images for T1-, T2- and PD-weighted acquisition emulated as single-coil data. -
U2MRPD: Unsupervised undersampled MRI reconstruction by prompting a large lat...
U2MRPD is a novel unsupervised framework for the reconstruction of undersampled MRI data. -
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
Fast MRI aims to reconstruct a high fidelity image from partially observed measurements. Exuberant development in fast MRI using deep learning has been witnessed recently.... -
MRI Reconstruction
MRI reconstructions were demonstrated on coil-combined images from the IXI dataset1, under a k-space mask for 8× acceleration. -
fastmri dataset
The fastmri dataset is used for MRI reconstruction. It contains fully sampled knee MR images and k-spaces from 1500 patients obtained from 1.5 and 3.0T scanners.
