3D-MASNet: 3D Mixed-scale Asymmetric Convolutional Segmentation Network for 6-month-old Infant Brain MR Images

Zilong Zeng; Tengda Zhao; Lianglong Sun; Yihe Zhang; Mingrui Xia; Xuhong Liao; Jiaying Zhang; Dinggang Shen; Li Wang; Yong He

doi:10.1101/2021.05.23.445294

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3D-MASNet: 3D Mixed-scale Asymmetric Convolutional Segmentation Network for 6-month-old Infant Brain MR Images

Zilong Zeng, Tengda Zhao, Lianglong Sun, Yihe Zhang, Mingrui Xia, Xuhong Liao, Jiaying Zhang, Dinggang Shen, Li Wang, Yong He

doi: https://doi.org/10.1101/2021.05.23.445294

Zilong Zeng

1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

2Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China

3IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

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Tengda Zhao

1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

2Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China

3IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

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For correspondence: yong.he@bnu.edu.cn tengdazhao@bnu.edu.cn

Lianglong Sun

1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

2Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China

3IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

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Yihe Zhang

1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

2Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China

3IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

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Mingrui Xia

1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

2Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China

3IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

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Xuhong Liao

4School of Systems Science, Beijing Normal University, Beijing 100875, China

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Jiaying Zhang

1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

2Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China

3IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

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Dinggang Shen

5School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China

6Department of Research and Development, Shanghai Unitied Imaging Intelligence Co., Ltd., Shanghai 200030, China

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Li Wang

7Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA

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Yong He

1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

2Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China

3IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

8Chinese Institute for Brain Research, Beijing 102206, China

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For correspondence: yong.he@bnu.edu.cn tengdazhao@bnu.edu.cn

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3D-MASNet: 3D Mixed-scale Asymmetric Convolutional Segmentation Network for 6-month-old Infant Brain MR Images

Zilong Zeng, Tengda Zhao, Lianglong Sun, Yihe Zhang, Mingrui Xia, Xuhong Liao, Jiaying Zhang, Dinggang Shen, Li Wang, Yong He

bioRxiv 2021.05.23.445294; doi: https://doi.org/10.1101/2021.05.23.445294

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3D-MASNet: 3D Mixed-scale Asymmetric Convolutional Segmentation Network for 6-month-old Infant Brain MR Images

Zilong Zeng, Tengda Zhao, Lianglong Sun, Yihe Zhang, Mingrui Xia, Xuhong Liao, Jiaying Zhang, Dinggang Shen, Li Wang, Yong He

bioRxiv 2021.05.23.445294; doi: https://doi.org/10.1101/2021.05.23.445294

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