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DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation


Mar 29, 2021
Junfei Xiao, Lequan Yu, Lei Xing, Alan Yuille, Yuyin Zhou

* code available at https://github.com/lambert-x/DualNorm-Unet 

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TransCT: Dual-path Transformer for Low Dose Computed Tomography


Mar 03, 2021
Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing


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Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction


Oct 20, 2020
Qiong Xu, Jeff Wang, Hiroki Shirato, Lei Xing


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Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images


Sep 16, 2020
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing

* Accepted by IEEE Transactions on Medical Imaging 

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Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis


Jul 21, 2020
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing

* IEEE Transactions on Medical Imaging, code is at https://github.com/xmengli999/self_supervised 

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Multi-Domain Image Completion for Random Missing Input Data


Jul 10, 2020
Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter Choyke, Bradford Wood, Daguang Xu


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A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions


Jul 03, 2020
Masoud Badiei Khuzani, Yinyu Ye, Sandy Napel, Lei Xing

* 67 pages, 9 figures 

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Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations


Nov 23, 2019
Charles Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, Xiaokun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing


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Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications


Nov 06, 2019
Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing

* Accept for publication at Medical Physics 

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Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images


Oct 31, 2019
Hyunseok Seo, Charles Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing

* Accept for publication at IEEE Transactions on Medical Imaging 

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A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks


Sep 25, 2019
Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing

* 50 pages, 4 figures 

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On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes


Mar 20, 2019
Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren, Lei Xing

* Conference paper, 31 pages, 2 figures 

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Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space


Feb 27, 2019
Masoud Badiei Khuzani, Hongyi Ren, Varun Vasudevan, Lei Xing

* 55 pages, 10 figures 

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Robustness of Maximum Correntropy Estimation Against Large Outliers


Nov 23, 2017
Badong Chen, Lei Xing, Haiquan Zhao, Bin Xu, Jose C. Principe

* 8 pages, 7 figures 

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Quantized Minimum Error Entropy Criterion


Oct 12, 2017
Badong Chen, Lei Xing, Nanning Zheng, Jose C. PrĂ­ncipe


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Deep Generative Adversarial Networks for Compressed Sensing Automates MRI


May 31, 2017
Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus Alley, Neil Thakur, Song Han, William Dally, John M. Pauly, Lei Xing


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Robust Learning with Kernel Mean p-Power Error Loss


Dec 21, 2016
Badong Chen, Lei Xing, Xin Wang, Jing Qin, Nanning Zheng

* 11 pages, 7 figures, 10 tables 

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Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering


Aug 01, 2016
Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, Jose C. Principe

* 12 pages,8 figures 

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Generalized Correntropy for Robust Adaptive Filtering


Apr 12, 2015
Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe

* IEEE Trans. on Signal Processing, vol. 64, no. 13, pp. 3376-3387, 2016 
* 34 pages, 9 figures, submitted to IEEE Transactions on Signal Processing 

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