Xiaoxiao (Arist) He

Xiaoxiao (Arist) He

Bachelor of Science in Computer Science and Mathematics, persuing doctorial degree in Computer Science

Publications

Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation

Published in In the proceedings of 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023

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Recommended citation: Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris Metaxas, "Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation." In the proceedings of 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023.

DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Published in In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023

Accepted

Recommended citation: Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris Metaxas, "DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023.

Transfusion: multi-view divergent fusion for medical image segmentation with transformers

Published in In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022

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Recommended citation: Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, et al., "Transfusion: multi-view divergent fusion for medical image segmentation with transformers." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022.

Region proposal rectification towards robust instance segmentation of biological images

Published in In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022

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Recommended citation: Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, et al., "Region proposal rectification towards robust instance segmentation of biological images." In the proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022.

Effective 3D humerus and scapula extraction using low-contrast and high-shape-variability MR data

Published in In the proceedings of Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019

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Recommended citation: Xiaoxiao He, Chaowei Tan, Yuting Qiao, Virak Tan, Dimitris Metaxas, Kang Li, "Effective 3D humerus and scapula extraction using low-contrast and high-shape-variability MR data." In the proceedings of Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019.