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Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images [chapter]

Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng
2018 Lecture Notes in Computer Science  
In this paper, we propose a probabilistic deep voxelwise dilated residual network, referred as Bayesian VoxDRN, to segment the whole heart from 3D MR images.  ...  Bayesian VoxDRN can predict voxelwise class labels with a measure of model uncertainty, which is achieved by a dropout-based Monte Carlo sampling during testing to generate a posterior distribution of  ...  Conclusion In this study, we proposed the Bayesian VoxDRN, a probabilistic deep voxelwise dilated residual network with a measure of the model uncertainty, for automatic whole heart segmentation from 3D  ... 
doi:10.1007/978-3-030-00937-3_65 fatcat:i54qhsnlurfbtlvjvaf6sdcfr4

Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear [chapter]

Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant
2018 Lecture Notes in Computer Science  
Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images Zenglin Shi; Guodong Zeng; Le Zhang; Xiahai Zhuang; Lei Li; Guang Yang; Guoyan Zheng* T-14 Real-time Prediction of  ...  T-12 The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation Yuanhan Mo*; Fangde Liu; Mcilwraith Douglas; Guang Yang; Jingqing Zhang; Taigang He; Yike Guo T-13 Bayesian VoxDRN: A Probabilistic  ...  T-129 Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training Wen  ... 
doi:10.1007/978-3-030-00928-1_1 fatcat:ypoj3zplm5awljf6u5c2spgiea