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Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Cha...
A public dataset of four-chamber heart meshes for cardiac electro-mechanics simulations. -
Learning Whole Heart Mesh Generation From Patient Images For Computational Si...
A fast and automated deep-learning method to construct simulation-suitable models of the heart from medical images. -
Left Atrium Segmentation dataset
The dataset contains images of the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging (LGE-MRI). -
Late Gadolinium Enhancement MRI (LGE-MRI) dataset
The dataset contains images of the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging (LGE-MRI). -
MyoPS dataset
The dataset used in the paper is the MyoPS dataset, which provides three-sequence Cardiac Magnetic Resonance (LGE, T2 and C0) and three anatomy masks, including myocardium... -
Cardiac Dataset
A multi-centre cohort consisting of 686 HCM patients and 679 healthy volunteers. -
Multi-level ConvLSTM for Left Ventricle Myocardium Segmentation
A multi-level ConvLSTM model for the automatic segmentation of left ventricle myocardium in infarcted porcine cine MR images -
ACDC MICCAI 2017 challenge dataset
ACDC MICCAI 2017 challenge dataset -
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models
The dataset used for the study of debiasing cardiac imaging with controlled latent diffusion models. -
Clinical Cardiac Datasets
The dataset used for testing the proposed Data-iterative Optimization Score Model (DOSM) for stable ultra-sparse-view CT reconstruction. -
MICCAI 2018
A cardiac validation image. -
Multi-center, multi-vendor, multi-disease cardiac segmentation dataset
Multi-center, multi-vendor, multi-disease cardiac segmentation dataset, used for cardiac segmentation. -
99mTc-sestamibi SPECT dataset
A dataset of 99mTc-sestamibi SPECT images for automatic reorientation and segmentation of the left ventricle. -
13N-ammonia PET dataset
A dataset of 13N-ammonia PET images for automatic reorientation and segmentation of the left ventricle. -
Multi-Scale Spatial Transformer U-Net for Automatic Reorientation and Segment...
A dataset of 3D nuclear cardiac images for automatic reorientation and segmentation of the left ventricle. -
ACDC 2017 segmentation database
The ACDC 2017 segmentation database contains cine MRI short-axis slices acquired with 1.5T or 3.0T MRI scanners.
