Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing

Lecture Notes in Computer Science - Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges ◽

10.1007/978-3-319-75541-0_23 ◽

2018 ◽

pp. 215-223 ◽

Cited By ~ 7

Author(s):

Xin Yang ◽

Cheng Bian ◽

Lequan Yu ◽

Dong Ni ◽

Pheng-Ann Heng

Keyword(s):

Convolutional Networks ◽

Whole Heart

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Cascaded Volumetric Fully Convolutional Networks for Whole-Heart and Great Vessel 3D segmentation

Future Generation Computer Systems ◽

10.1016/j.future.2020.02.055 ◽

2020 ◽

Vol 108 ◽

pp. 198-209

Author(s):

Tao Han ◽

Roberto F. Ivo ◽

Douglas de A. Rodrigues ◽

Solon A. Peixoto ◽

Victor Hugo C. de Albuquerque ◽

...

Keyword(s):

Great Vessel ◽

3D Segmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks ◽

Whole Heart

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3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition

Lecture Notes in Computer Science - Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges ◽

10.1007/978-3-319-75541-0_19 ◽

2018 ◽

pp. 181-189 ◽

Cited By ~ 1

Author(s):

Xin Yang ◽

Cheng Bian ◽

Lequan Yu ◽

Dong Ni ◽

Pheng-Ann Heng

Keyword(s):

Fine Grained ◽

Convolutional Networks ◽

Fully Automatic ◽

Whole Heart

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Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation

10.21437/interspeech.2019-1373 ◽

2019 ◽

Cited By ~ 8

Author(s):

Ziqiang Shi ◽

Huibin Lin ◽

Liu Liu ◽

Rujie Liu ◽

Jiqing Han ◽

...

Keyword(s):

Speech Separation ◽

Convolutional Networks ◽

End To End

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Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks

2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) ◽

10.1109/ccgrid.2019.00037 ◽

2019 ◽

Cited By ~ 1

Author(s):

Yusuke Nagasaka ◽

Akira Nukada ◽

Ryosuke Kojima ◽

Satoshi Matsuoka

Keyword(s):

Sparse Matrix ◽

Matrix Multiplication ◽

Convolutional Networks

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A data augmentation approach to train fully convolutional networks for left ventricle segmentation

Magnetic Resonance Imaging ◽

10.1016/j.mri.2019.08.004 ◽

2020 ◽

Vol 66 ◽

pp. 152-164

Author(s):

Adan Lin ◽

Junhao Wu ◽

Xuan Yang

Keyword(s):

Left Ventricle ◽

Data Augmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks ◽

Ventricle Segmentation

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Free‐running 3D whole heart myocardial T 1 mapping with isotropic spatial resolution

Magnetic Resonance in Medicine ◽

10.1002/mrm.27811 ◽

2019 ◽

Vol 82 (4) ◽

pp. 1331-1342 ◽

Cited By ~ 8

Author(s):

Haikun Qi ◽

Olivier Jaubert ◽

Aurelien Bustin ◽

Gastao Cruz ◽

Huijun Chen ◽

...

Keyword(s):

Spatial Resolution ◽

Isotropic Spatial Resolution ◽

Free Running ◽

Whole Heart

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Filter-based Deep-Compression with Global Average Pooling for Convolutional Networks

2018 IEEE International Workshop on Signal Processing Systems (SiPS) ◽

10.1109/sips.2018.8598453 ◽

2018 ◽

Cited By ~ 3

Author(s):

Ting-Yun Hsiao ◽

Yung-Chang Chang ◽

Ching-Te Chiu

Keyword(s):

Global Average ◽

Convolutional Networks

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A Novel Scheme to Map Convolutional Networks to Network-on-Chip with Computing-In-Memory Nodes

2020 International SoC Design Conference (ISOCC) ◽

10.1109/isocc50952.2020.9332940 ◽

2020 ◽

Author(s):

Jiayi Liu ◽

Kejie Huang

Keyword(s):

Network On Chip ◽

Convolutional Networks ◽

On Chip

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Video-based Facial Expression Recognition using Graph Convolutional Networks

2020 25th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr48806.2021.9413094 ◽

2021 ◽

Author(s):

Daizong Liu ◽

Hongting Zhang ◽

Pan Zhou

Keyword(s):

Facial Expression ◽

Facial Expression Recognition ◽

Expression Recognition ◽

Convolutional Networks

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Label-Aware Graph Convolutional Networks

Proceedings of the 29th ACM International Conference on Information & Knowledge Management ◽

10.1145/3340531.3412139 ◽

2020 ◽

Author(s):

Hao Chen ◽

Yue Xu ◽

Feiran Huang ◽

Zengde Deng ◽

Wenbing Huang ◽

...

Keyword(s):

Convolutional Networks

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