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A registration and atlas propagation based framework for automatic whole heart segmentation of CT volumes.

, , , , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86693W. SPIE, (2013)

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Myocardium Segmentation From DE MRI Using Multicomponent Gaussian Mixture Model and Coupled Level Set., , , , , , and . IEEE Trans. Biomed. Eng., 64 (11): 2650-2661 (2017)Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks., , , and . MICCAI (3), volume 12263 of Lecture Notes in Computer Science, page 233-242. Springer, (2020)A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI., , , , and . IEEE Trans. Medical Imaging, 29 (9): 1612-1625 (2010)Learning-Based Algorithms for Vessel Tracking: A Review., and . CoRR, (2020)Deep Compatible Learning for Partially-Supervised Medical Image Segmentation., and . CoRR, (2022)Multi-Modality Cardiac Image Analysis with Deep Learning., , , and . CoRR, (2021)Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior., , , , , , , , , and 2 other author(s). CoRR, (2023)Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge., , , , , , , , , and 13 other author(s). CoRR, (2020)AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information., , , and . Medical Image Anal., (2022)Disentangle domain features for cross-modality cardiac image segmentation., , , and . Medical Image Anal., (2021)