Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.
IEEE Trans. Medical Imaging, 2019
Deep-learning cardiac motion analysis for human survival prediction.
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Nat. Mach. Intell., 2019
Chemometrics: From Data Preprocessing to Fog Computing.
Int. J. Fog Comput., 2019
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.
CoRR, 2018
Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.
Proceedings of the Shape in Medical Imaging, 2018