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Structure and intensity unbiased translation for image segmentation
Learning a model-driven network for deformable image registration
Nesterov accelerated ADMM for diffeomorphic image registration
Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination
Geometry constrained weakly supervised object localization
Self-supervised learning for cardiac MR segmentation by anatomical position prediction
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction
Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography
Deep learning cardiac motion analysis for human survival prediction
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined deep learning approach
Deep nested level sets for segmentation of cardiac MR images in patients with pulmonary hypertension
Automated segmentation of retinal layers from optical coherent tomography images using geodesic distance
Implementation of high‐order variational models for image processing
Surface reconstruction from point clouds using a novel variational model
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