Dual-Path Feature Aggregation Network Combined Multi-layer Fusion for Myocardial Pathology Segmentation with Multi-sequence Cardiac MR

[1]  Ganapathy Krishnamurthi,et al.  Fully convolutional multi‐scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers , 2018, Medical Image Anal..

[2]  Xiahai Zhuang,et al.  Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Konstantinos Kamnitsas,et al.  Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation , 2017, IEEE Transactions on Medical Imaging.

[4]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[5]  Ling He,et al.  SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR , 2019, STACOM@MICCAI.

[6]  D. Rueckert,et al.  Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation , 2019, STACOM@MICCAI.

[7]  Jiexiang Wang,et al.  Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network , 2019, STACOM@MICCAI.

[8]  Caroline Petitjean,et al.  A review of segmentation methods in short axis cardiac MR images , 2011, Medical Image Anal..

[9]  Xiahai Zhuang,et al.  Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI , 2016, MICCAI.

[10]  Víctor M. Campello,et al.  Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI , 2019, STACOM@MICCAI.

[11]  Yuanqing Li,et al.  Dilated-Inception Net: Multi-Scale Feature Aggregation for Cardiac Right Ventricle Segmentation , 2019, IEEE Transactions on Biomedical Engineering.