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Globally optimal co-segmentation of three-dimensional pulmonary 1H and hyperpolarized 3He MRI with spatial consistence prior., , , , , , , and . Medical Image Anal., 23 (1): 43-55 (2015)Fourier decomposition free-breathing H MRI perfusion maps in asthma., , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094912. SPIE, (2019)Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models., , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113130Z. SPIE, (2020)A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images., , , , , , and . IEEE Trans. Medical Imaging, 39 (9): 2844-2855 (2020)Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study., , , , , , and . CoRR, (2020)3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior., , , , , , and . MICCAI (1), volume 8673 of Lecture Notes in Computer Science, page 796-803. Springer, (2014)Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results., , , , , , , , , and . FIMH, volume 11504 of Lecture Notes in Computer Science, page 64-72. Springer, (2019)Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow., , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 450-458. Springer, (2018)Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach., , , , , , and . Medical Image Anal., (2020)Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study., , , , , , and . IEEE Trans. Biomed. Eng., 70 (6): 1955-1966 (June 2023)