Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration | 0 | 0.34 | 2021 |
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation | 0 | 0.34 | 2021 |
One-Stage Multi-Task Detector For 3d Cardiac Mr Imaging | 0 | 0.34 | 2020 |
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models. | 1 | 0.36 | 2020 |
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction | 4 | 0.41 | 2019 |
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach. | 7 | 0.47 | 2019 |
A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. | 0 | 0.34 | 2018 |
Deep-Learning Cardiac Motion Analysis For Human Survival Prediction | 4 | 0.53 | 2018 |
Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images. | 0 | 0.34 | 2018 |
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension. | 2 | 0.36 | 2018 |
Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. | 0 | 0.34 | 2018 |
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. | 43 | 1.51 | 2018 |
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. | 5 | 0.39 | 2018 |
Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. | 1 | 0.37 | 2017 |
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. | 9 | 0.58 | 2017 |
Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. | 23 | 0.94 | 2016 |
Prediction of Clinical Information from Cardiac MRI Using Manifold Learning | 1 | 0.36 | 2015 |
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects | 3 | 0.39 | 2015 |
Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. | 3 | 0.39 | 2015 |
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion | 18 | 1.02 | 2015 |
Multi-atlas spectral PatchMatch: application to cardiac image segmentation. | 4 | 0.43 | 2014 |
Cardiac image super-resolution with global correspondence using multi-atlas patchmatch. | 28 | 1.11 | 2013 |
MRIdb: medical image management for biobank research. | 4 | 0.45 | 2013 |
Temporal sparse free-form deformations. | 26 | 1.54 | 2013 |
A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images. | 62 | 1.74 | 2013 |
Gradient Projection Learning for Parametric Nonrigid Registration. | 0 | 0.34 | 2012 |
Automatic segmentation of different pathologies from cardiac cine MRI using registration and multiple component EM estimation | 10 | 0.65 | 2011 |