3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network von Shan, Hongming, Zhang, Yi, Yang, Qingsong, Kruger, Uwe, Kalra, Mannudeep K., Sun, Ling, Cong, Wenxiang, Wang, Ge

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Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising von You, Chenyu, Yang, Qingsong, Shan, Hongming, Gjesteby, Lars, Li, Guang, Ju, Shenghong, Zhang, Zhuiyang, Zhao, Zhen, Zhang, Yi, Cong, Wenxiang, Wang, Ge

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CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE) von You, Chenyu, Cong, Wenxiang, Vannier, Michael W., Saha, Punam K., Hoffman, Eric A., Wang, Ge, Li, Guang, Zhang, Yi, Zhang, Xiaoliu, Shan, Hongming, Li, Mengzhou, Ju, Shenghong, Zhao, Zhen, Zhang, Zhuiyang

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Dynamic bowtie filter for cone-beam/multi-slice CT von Liu, Fenglin, Yang, Qingsong, Cong, Wenxiang, Wang, Ge

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Spectral CT Modeling and Reconstruction With Hybrid Detectors in Dynamic-Threshold-Based Counting and Integrating Modes von Li, Liang, Chen, Zhiqiang, Cong, Wenxiang, Wang, Ge

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Virtual Monoenergetic CT Imaging via Deep Learning von Cong, Wenxiang, Xi, Yan, Fitzgerald, Paul, De Man, Bruno, Wang, Ge

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Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction von Xie, Huidong, Shan, Hongming, Cong, Wenxiang, Liu, Chi, Zhang, Xiaohua, Liu, Shaohua, Ning, Ruola, Wang, Ge

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Spectral X-Ray CT Image Reconstruction with a Combination of Energy-Integrating and Photon-Counting Detectors von Yang, Qingsong, Cong, Wenxiang, Xi, Yan, Wang, Ge

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Towards omni-tomography--grand fusion of multiple modalities for simultaneous interior tomography von Wang, Ge, Zhang, Jie, Gao, Hao, Weir, Victor, Yu, Hengyong, Cong, Wenxiang, Xu, Xiaochen, Shen, Haiou, Bennett, James, Furth, Mark, Wang, Yue, Vannier, Michael

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Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results von Wu, Weiwen, Hu, Dianlin, Cong, Wenxiang, Shan, Hongming, Wang, Shaoyu, Niu, Chuang, Yan, Pingkun, Yu, Hengyong, Vardhanabhuti, Varut, Wang, Ge

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Spectrally resolving and scattering-compensated x-ray luminescence/fluorescence computed tomography von Cong, Wenxiang, Shen, Haiou, Wang, Ge

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Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks von Wu, Weiwen, Hu, Dianlin, Cong, Wenxiang, Shan, Hongming, Wang, Shaoyu, Niu, Chuang, Yan, Pingkun, Yu, Hengyong, Vardhanabhuti, Varut, Wang, Ge

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Fluorescence molecular tomography for quantum yield and lifetime von Cong, Wenxiang, Wang, Ge

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Preliminary landscape analysis of deep tomographic imaging patents von Yang, Qingsong, Lizotte, Donna L., Cong, Wenxiang, Wang, Ge

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Smoothed l 0 Norm Regularization for Sparse-View X-Ray CT Reconstruction von Zheng, Jian, Xu, Pin, Guan, Yihui, Peng, Chengtao, Zhang, Cheng, Li, Ming, Sun, Mingshan

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EM Estimation of the X-Ray Spectrum With a Genetically Optimized Step-Wedge Phantom von Li, Mengzhou, Fan, Feng-Lei, Cong, Wenxiang, Wang, Ge

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Higher-order phase shift reconstruction approach von Cong, Wenxiang, Wang, Ge

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Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning von Li, Mengzhou, Fang, Zheng, Cong, Wenxiang, Niu, Chuang, Wu, Weiwen, Uher, Josef, Bennett, James, Rubinstein, Jay T., Wang, Ge

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Improved Compressed Sensing-Based Algorithm for Sparse-View CT Image Reconstruction von Babyn, Paul, Zhu, Zangen, Carter, Yasmin, Pratt, Isaac, Cooper, David, Wahid, Khan A.

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Mathematical theory and numerical analysis of bioluminescence tomography von Han, Weimin, Cong, Wenxiang, Wang, Ge

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