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Distortion-Corrected Image Reconstruction with Deep Learning on an MRI-Linac


May 23, 2022
Shanshan Shan, Yang Gao, Paul Z. Y. Liu, Brendan Whelan, Hongfu Sun, Bin Dong, Feng Liu, David E. J. Waddington


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Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation


May 17, 2022
Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang

* Accepted at IJCAI 2022 

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A scalable deep learning approach for solving high-dimensional dynamic optimal transport


May 16, 2022
Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi


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A Note on Machine Learning Approach for Computational Imaging


Feb 24, 2022
Bin Dong


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Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer


Feb 08, 2022
Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li


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Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks


Dec 10, 2021
Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong


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Implicit Feature Refinement for Instance Segmentation


Dec 09, 2021
Lufan Ma, Tiancai Wang, Bin Dong, Jiangpeng Yan, Xiu Li, Xiangyu Zhang

* Published at ACM MM 2021. Code is available at https://github.com/lufanma/IFR.git 

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Meta-Auto-Decoder for Solving Parametric Partial Differential Equations


Nov 15, 2021
Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong


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Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks


Nov 02, 2021
Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong


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Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training


Sep 29, 2021
Hexin Dong, Fei Yu, Jie Zhao, Bin Dong, Li Zhang

* 6 pages,3 figures,MICCAI 2021 Cross-Modality Domain Adaptation for Medical Image Segmentation Challenge 

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