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Peer-reviewed Journal Papers after Joining UML (108 in total, “*”indicate corresponding authors ) 1. Shengqi Tan, Yanbo Zhang, Ge Wang, Xuanqin Mou, Guohua Cao, Zhifang Wu, Hengyong Yu*; Tensor based adaptive dictionary learning for dynamic computed tomography reconstruction; Physics in Medicine and Biology, 60(7):2803-2818, 2015. 2. Huihua Kong and Hengyong Yu*; Analytic reconstruction approach for parallel translational computed tomography; Journal of X-ray Science and Technology; 23(2):213-228, 2015. 3. Kaijie Lu, Baodong Liu and Hengyong Yu*; On dose reduction and view number in computed tomography, CT Theory and Applications, 24(2):169-176, 2015. 4. Hengyong Yu*, Ge Wang, Jiansheng Yang, Jed Pack, Ming Jiang and Bruno DeMan; Data consistency condition for truncated projections in fan-beam geometry; Journal of X-ray Science and Technology; 23(5):627-638, 2015. 5. Ming Chen and Hengyong Yu*; Analytic reconstruction algorithms for triple-source CT with horizontal data truncation; Medical Physics, 42(10):6062-6073, 2015. 6. Chuang Miao and Hengyong Yu*; General thresholding representation for the Lp regularization, IEEE Transactions on Image Processing, 24(12):5455-5468, 2015. 7. Panpan Wu, Kewen Xia*, Hengyong Yu*; Relevance vector machine based pulmonary nodule classification; Journal of Medical Imaging and Health Informatics, 6(1):163-169, 2016. 8. Paul FitzGerald, James Bennett, Jeffrey Carr, Peter Edic, Daniel Entrikin, Hewei Gao, Maria Iatrou, Yannan Jin, Baodong Liu, Ge Wang, Jiao Wang, Zhye Yin, Hengyong Yu, Kai Zeng, and Bruno De Man*; Cardiac CT: a system architecture study; Journal of X-ray Science and Technology, 24(1):23-41, 2016. 9. Huihua Kong, Rui Liu and Hengyong Yu*; Ordered-subset split Bregman algorithm for interior tomography; Journal of X-ray Science and Technology, 24(2):221-240, 2016. 10. Jian Zhang, Hengyong Yu*, Xiaohua Qian, Keqin Liu, Hua Tan, Tielin Yang, Maode Wang, King Li, Michael Chan, Waldemar Debinski, Anna Paulsson, Ge Wang and Xiaobo Zhou*, Pseudo progression identification of Gilobastoma with dictionary learning, Computers in Biology and Medicine, 73(1): 94-101, 2016. 11. Yuan Yuan, Wilfred Ngwa, Yanbo Zhang, Seyeda Yasmin-Karim, Erno Sajo and Hengyong Yu*, Energy efficiency of gold nanoparticles as contrast agents in dual energy micro-CT, JSM Biomedical Imaging Data Papers, Volume 3, Issue 1, Article ID: 1006, 5 pages, 2016. 12. Hao Gong, Rui Liu, Hengyong Yu, Jianping Lu, Otto Zhou, Lijuan Kan, Jia-Qiang, He and Guohua Cao*; Interior tomographic imaging of mouse heart in a carbon nanotube micro-CT; Journal of X-ray Science and Technology, 24(4):459-563, 2016. 13. Chuang Miao and Hengyong Yu*; Alternating iteration for L_p(0<p<1) regularized CT reconstruction; IEEE Access, 4:4355-4363, 2016. 14. Panpan Wu, Kewen Xia and Hengyong Yu*; Correlation coefficient based supervised locally linear embedding for pulmonary nodule recognition; Computer Methods and Programs in Biomedicine, 136: 97-106, 2016. 15. Miaoshi Wang, Yanbo Zhang, Rui Liu, Shuxu Guo and Hengyong Yu*; An adaptive reconstruction algorithm for spectral CT regularized by a reference image; Physics in Medicine and Biology, 61(24):8699-8719, 2016. 16. Jia Li, Chuang Miao, Zuowei Shen, Ge Wang and Hengyong Yu; Robust frame based x-ray CT reconstruction, Journal of Computational Mathematics, 34(6):683-704, 2016. 17. Yanbo Zhang, Xuanqin Mou*, Ge Wang and Hengyong Yu*; Tensor-based dictionary learning for spectral CT reconstruction, IEEE Transactions on Medical Imaging, 36(1):142-154. 2017. 18. Baodong Liu, Alexander Katsevich and Hengyong Yu; Interior tomography with curvelet-based regularization; Journal of X-ray Science and Technology, 25(1):1-13, 2017. 19. Rui Liu, Lu He, Yan Luo and Hengyong Yu*; 2D singular value decomposition based interior tomography; Journal of X-ray Science and Technology, 25(1):113-134, 2017. 20. Weiwen Wu, Hengyong Yu*, Shaoyu Wang and Fenglin Liu*; BPF-type region-of-interest reconstruction for parallel translational computed tomography; Journal of x-ray science and technology, 25(3):487-504, 2017. 21. Miaoshi Wang, Shuxu Guo and Hengyong Yu*; Locally Linear Embedding based Motion Estimation from Truncated Projections for Computed Tomography; IEEE Access, 5:11155-11165, 2017. 22. Rui Liu, Mannudeep Kalra, and Hengyong Yu*; Evaluation of GPU-Based CT Reconstruction for Morbidly Obese Patients; JSM Biomedical Imaging Data Papers, Volume 4, Issue 1, Paper ID: 1008, 2017. 23. Jiansheng Yang, Hengyong Yu and Ge Wang; Initial analysis of the middle problem in CT image reconstruction; Journal of x-ray science and technology, 25(4):547-559, 2017. 24. Weiwen Wu, Hengyong Yu, Changcheng Gong, and Fenglin Liu*; Swinging multi-source industrial CT systems for aperiodic dynamic imaging; Optical Express, 25(20), Article ID: 24215, 21 pages. 25. Qian Wang, Yining Zhu and Hengyong Yu*; Locally linear constraint based optimization for material decomposition; Physics in Medicine and Biology, 62(21): 8314-8340, 2017. 26. Xuelin Cui, Lamine Mili and Hengyong Yu; Sparse-prior-based projection distance optimization method for joint CT-MRI reconstruction, IEEE Access, 5: 20099-20110. 27. Rui Liu, Lin Fu, Bruno De Man and Hengyong Yu*; GPU acceleration of branchless distance driven projection and backprojection; IEEE Transactions on Computational Imaging, 3(4):617-632, 2017. 28. Weiwen Wu, Hengyong Yu*, Wenxiang Cong and Fenglin Liu*; Theoretically exact backprojeciton filtration algorithm for multi-segment linear trajectory; Physics in Medicine and Biology, 63(1), Article ID: 015037, 2018. 29. Yuan Yuan, Yanbo Zhang, and Hengyong Yu*; Optimization of energy combination for Gold-based contrast agents below K-edges in dual-energy micro-CT; IEEE Transactions on Radiation and Plasma Medical Science, 2(3):187-193, 2018. 30. Huihua Kong*, Rui Liu, Jinxiao Pan and Hengyong Yu*; Evaluation of an analytic reconstruction method as a platform for spectral CT; IEEE Access, 6(1):21314-21323, 2018. 31. Xuelin Cui*, Lamine Mili, Ge Wang and Hengyong Yu*; Wavelet-based joint CT-MRI reconstruction, Journal of X-ray Science and Technology, 26(3):379-393, 2018. 32. Qingsong Yang, Pingkun Yan*, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra and Ge Wang; Low dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss, IEEE Transactions on Medical Imaging, 37(6):1348-1357, 2018. 33. Yanbo Zhang and Hengyong Yu*; A convolutional neural network base metal artifact reduction in x-ray computed tomography; IEEE Transactions on Medical Imaging, 37(6):1370-1381, 2018. 34. Morteza Salehjahromi, Yanbo Zhang and Hengyong Yu*; Comparison study of regularization in spectral computed tomography reconstruction; Sensing and Imaging, Vol. 19, Article 16, 2018. 35. Weiwen Wu, Yanbo Zhang, Qian Wang, Fenglin Liu*, Peijun Chen and Hengyong Yu*; Low-dose spectral CT reconstruction using image gradient ℓ0-norm and tensor dictionary; Applied Mathematical Modeling, 63:538-557, 2018. 36. Morteza Salehjahromi, Yanbo Zhang, and Hengyong Yu*, Iterative spectral CT reconstruction based on low rank and average-image-incorporated BM3D; Physics in Medicine and Biology, 63(15), Article ID: 155021, 2018. 37. Weiwen Wu, Yanbo Zhang, Qian Wang, Fenglin Liu*, Fulin Luo, and Hengyong Yu*; Spatial-spectral cube matching frame for spectral CT reconstruction; Inverse Problems, 34(10), Article ID: 104003, 2018. 38. Qian Wang, Kriti Sen Sharma and Hengyong Yu*; Geometry and energy constrained local reconstruction; Journal of X-ray Science and Technology, 26(5):757-775, 2018. 39. Lin Zhai, Yanbo Zhang, Hongli Lv, Shujun Fu*, and Hengyong Yu*; Multiscale tensor dictionary learning approach for multispectral image denoising; IEEE Access, 6(1): 51898-51910, 2018. 40. Yuan Yuan, Yanbo Zhang and Hengyong Yu*; Adaptive non-local means method for denoising basis material images from dual-energy CT; Journal of Computer Assisted Tomography, 42(6):972-981, 2018. 41. Liting Niu, Kejia Wang, Yongqiang Yang, Qiao Wu, Xi Ye, Zhengang Yang, Jinsong Liu*, and Hengyong Yu; Novel diffractive elements for zero-order Bessel Beam generation with applications in the Terahertz Band, IEEE Photonics Journal, 11(1), Article ID: 5900212 , 2019. 42. Haewon Nam , Minghao Guo , Hengyong Yu , Keumsil Lee , Ruijiang Li , Bin Han, Lei Xing , Rena Lee , and Hao Gao*; Tensor Framelet based iterative image reconstruction algorithm for low-dose multislice helical CT, PLOS ONE, 14(1): e0210410, 2019. 43. Haijun Yu, Weiwen Wu, Peijun Chen, Changcheng Gong, Junru Jiang, Shaoyu Wang, Fenglin Liu* and Hengyong Yu; Image gradient L0-norm based PICCS for swinging multi-source CT reconstruction, Optical Express, 27(4):5264-5279, 2019. 44. Weiwen Wu, Fenglin Liu*, Yanbo Zhang, Qian Wang and Hengyong Yu*; Non-local low-rank cube-based tensor factorization for spectral CT reconstruction; IEEE Transactions on Medical Imaging, 38(4):1079-1093, 2019. 45. Yanbo Zhang, Morteza Salehjahromi, and Hengyong Yu*; Tensor decomposition and non-local means (TDNLM) based spectral CT image denoising; Journal of X-ray Science and Technology, 27(3):397-416, 2019. 46. Wenjun Xia, Weiwen Wu, Fenglin Liu, Hengyong Yu, Ge Wang and Yi Zhang*; Spectral CT Reconstruction-ASSIST: Aided by Self-Similarity in Image-Spectral Tensors, IEEE Transactions on Computational Imaging, 5(3):430-436, 2019. 47. Ming Chen*, Dan Wang, Ning Cai, Dimeng Xia, Jing Zou and Hengyong Yu*; FBP-type reconstruction algorithm for triple-source circular trajectory CT with different scanning radii; Journal of X-ray Science and Technology, 27(4):665-648, 2019. 48. Morteza Salehjahromi, Qian Wang, Yanbo Zhang, Lars A Gjesteby, Dan Harrison, Ge Wang, Pete Edic, and Hengyong Yu*, A new iterative algorithm for ring artifact reduction in CT using ring total variation, Medical Physics, 46(11):4803-4815, 2019. 49. Weiwen Wu, Peijun Chen, Vince Vardhanabhuti, Weifei Wu*, and Hengyong Yu*; Improved material decomposition with a two-step regularization for spectral CT; IEEE Access, 7(1):158770-158781, 2019. 50. Robert MacDougall, Yanbo Zhang, Michael Callahan, Jeannette Perez-Rossello, Micheal Breen, Patrick R. Johnston, Hengyong Yu; Improving low-dose pediatric abdominal CT images using convolutional neural networks; Radiology: Artificial Intelligence, 1(6):e180087, 6 pages, 2019. 51. Weiwen Wu, Qian Wang, Fenglin Liu and Hengyong Yu*; Block Matching Frame based Material Reconstruction for Spectral CT, Physics in Medicine and Biology, 64(23), Article ID:235011, 2019. 52. Shaojie Chang, Mengfei Li, Hengyong Yu, Xi Chen, Shiwo Deng, Peng Zhang, Xuanqin Mou*; Spectrum estimation-guided iterative reconstruction algorithm for duel-energy CT; IEEE Transaction on Medical Imaging, 39(1):246-258, 2020. 53. Huihua Kong, Xiaoxue Lei, Lei Lei, Yanbo Zhang, Hengyong Yu; Spectral CT reconstruction based on PICCS and dictionary learning, IEEE Access, Vol. 8, pages:133367-133376, 2020. 54. Liu Shi, Baodong Liu*, Hengyong Yu, Cunfeng Wei, Long Wei, Li Zeng and Ge Wang; Review of CT image reconstruction open sources toolkits, Journal of X-ray Science and Technology, 28(4):619-639, 2020. 55. Qian Wang, Weiwen Wu, Shiwo Deng, Yining Zhu and Hengyong Yu*; Locally linear transform based three-dimensional gradient L0-norm minimization for spectral CT reconstruction, Medical Physics, accepted, 47(10): 4810-4826, 2020. 56. Zhan Wu, Rongjun Ge, Gonglei Shi, Lu Zhang, Yang Chen*, Limin Luo, Yu Cao and Hengyong Yu*; MD-NDNet: Multi-dimension convolutional neural network for false positive reduction in pulmonary module detection, Physics in Medicine and Biology; 65(23), Article ID:235053, 2020. 57. Shaoyu Wang, Weiwen Wu, Fenglin Liu*, and Hengyong Yu*; Low-dose Spectral CT Reconstruction Based on Image-gradient L0-norm and Adaptive Spectral PICCS, Physics in Medicine and Biology; 65(24), Article ID: 245005, 2020. 58. Weiwen Wu, Haijun Yu, Peijun Chen, Fulin Luo, Fenglin Liu*, Qian Wang, Yining Zhu, Yanbo Zhang, Jian Feng, and Hengyong Yu;* Dictionary learning based image-domain material decomposition for spectral CT; Physics in Medicine and Biology, 65(24), Article ID: 245006, 2020. 59. Haimiao Zhang, Baodong Liu, Hengyong Yu and Bin Dong; MetaInv-Net Meta Inversion Network for Sparse View CT Image Reconstruction; IEEE Transactions on Medical Imaging, 40(2): 621-634, 2021. 60. Michael Oumano, Elizabeth Russell, Morteza Salehjahromi, Lou Shanshan, Neeharika Sinha, Wilfred Ngwa, Hengyong Yu; CT imaging of gold nanoparticles in a human-sized phantom; Journal of Applied Clinical Medical Physics, 22(1): 337-342, 2021. 61. Weiwen Wu, Jun Shi, Hengyong Yu, Weifei Wu*, and Varut Vardhanabhuti*, Tensor Gradient L0-norm minimization based Low-dose CT and its Application to COVID-19, IEEE Transactions on Instrumentation & Measurement, Vol.70, Article ID:4503012, 12 pages, 2021. 62. Manyun Yang, Xiaobo Liu, Yaguang Luo, Arne J. Pearlstein, Shilong Wang, Hayden Dillow, Kevin Reed, Zhen Jia, Arnav Sharma, Bin Zhou, Dan Pearlstein, Hengyong Yu, and Boce Zhang*; Nondestructive and multiplex detection of viable pathogens of food by machine learning enabled paper chromogenic array; Nature Food, 2:110-117, 2021. 63. Hengyong Yu* and Ge Wang; Compton-camera-based SPECT for thyroid cancer imaging, Journal of X-ray Science and Technology, 29(1):111-124, 2021. 64. Zhen Jia, Yaguang Luo, Dayang Wang, Quynh N Dinh, Sophia Lin, Arnav Sharma, Ethan M. Block, Manyun Yang, Tingting Gu, Arne J. Pearlstein, Hengyong Yu, Boce Zhang*; Nondestructive multiplex detection of foodborne pathogens with background microflora and symbiosis using a paper chromogenic array and advanced neural network, Biosensors and Bioelectronics, Vol. 183, Article ID: 113209, 2021. 65. Qian Wang, Morteza Salehjahromi, and Hengyong Yu*; Refined locally linear transform based spectral-domain gradient sparsity and its applications in spectral CT reconstruction; IEEE Access, 9:58537-58548, 2021. 66. Michael Oumano, Hengyong Yu; A deep learning approach to Gold Nanoparticle quantification in Computed Tomography; Physica Medica, European Journal of Medical Physics; 87:83-89, 2021. 67. Weiwen Wu, Peijun Chen, Shaoyu Wang, Varut Vardhanabhuti*, Fenglin Liu, and Hengyong Yu*; Image-domain material decomposition for spectral CT Using a generalized dictionary learning; IEEE Transactions on Radiation and Plasma Medical Sciences, 5(4):537-547, 2021. 68. Weiwen Wu, Dianlin Hu, Chuang Niu, Hengyong Yu*, Varut Vardhanabhuti*, and Ge Wang*; Dual-domain Residual-based Optimization Network (DRONE) for Sparse-view CT Reconstruction; IEEE Transactions on Medical Imaging, 40(11):3002-3014, 2021. 69. Yikun Zhang, Dianlin Hu, Qianlong Zhao, Guotao Quan, Jin Liu, Qiegen Liu, Yi Zhang, Yang Chen, Hengyong Yu, and Limin Luo; CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging, IEEE Transactions on Medical Imaging, 40(11):3089-3101, 2021. 70. Zhan Wu, Rongjun Ge, Yang Chen*, Xiaopu He, Limin Luo, Yu Cao and Hengyong Yu*, Automatic patient-level detection of coronavirus disease (COVID-19) using convolutional neural network from lung CT scans; Journal of Medical Imaging and Health Informatics, 11(11):2722-2732, 2021. 71. Chenggang Lu, Zhitao Guo*, Jinli Yuan, Kewen Xia, Hengyong Yu; Fine-grained calibrated double-attention convolutional network for left ventricular segmentation; Physics in Medicine and Biology; 67(5), Article ID:055013, 11 pages, 2022. 72. Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu*, Varut Vardhanabhuti*, Ge Wang*; Stabilizing deep tomographic reconstruction networks: Part A. Hybrid framework and experimental results; Patterns, Vol. 3, Article ID:100474, 16 pages, 2022. 73. Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu*, Varut Vardhanabhuti*, Ge Wang*; Stabilizing deep tomographic reconstruction networks: Part B. Convergence analysis and adversarial attacks; Patterns, Vol. 3, Article ID: 100475, 15 pages, 2022. 74. Yongshun Xu, Asif Sushimit, Qing Lyu, Ying Li, Ximiao Cao, Jonathan S. Maltz*, Ge Wang*, Hengyong Yu*; Cardiac CT Motion Artifact Grading via Semi-automatic Labeling and Vessel Tracking; Journal of X-ray Science and Technology; 30(3): 433-445, 2022. 75. Ying Chu, Fan Chen, Hong Fu and Hengyong Yu; Haze level evaluation using dark and bright channel prior information; Atmosphere, 13(5), Article ID:683, 17 pages, 2022 . 76. Zhitao Guo, Linlin Zhao, Jinli Yuan, and Hengyong Yu; MSANet: Multi-scale Aggregation Network Integrating Spatial and Channel Information for Lung Nodule Detection; IEEE Journal of Biomedical and Health Informatics, 26(6):2547-2558, 2022. 77. Fenglei Fan, Dayang Wang, Hengtao Guo, Qikui Zhu, Pingkun Yan*, Ge Wang*, and Hengyong Yu*; On a Sparse Shortcut Topology of Artificial Neural Networks; IEEE Transactions on Artificial Intelligence, 3(4):595-608, 2022. 78. Mingye Wu, Paul FitzGerald, Jiayong Zhang, W. Paul Segars, Hengyong Yu, Yongshun Xu, and Bruno De Man*; XCIST-An open access X-ray/CT simulation toolkit; Physics in Medicine and Biology, 67(19), Article ID: 194002, 19 pages, 2022. 79. Weiwen Wu, Hengyong Yu, Fenglin Liu, Jianjia Zhang and Vince Vardhanabhuti; Spectral CT reconstruction via spectral-image tensor and bidirectional image-gradient minimization, Computers in Biology and Medicine, 151(PartA), Article ID:106080, 14 pages, 2022. 80. Manyun Yang, Yaguang Luo, Arnav Sharma, Zhen Jia, Shilong Wang, Dayang Wang, Shilong Wang, Sophia Lin, Whitney Perreault, Sonia Purohit, Tingting Gu, Hyden Dillow, Xiaobo Liu, Hengyong Yu, Boce Zhang; Nondestructive and multiplex differentiation of pathogenic microorganisms from spoilage microflora on seafood using paper chromogenic array and neural network; Food Research International,162(Part B), Article ID: 112052, 8 pages, 2022. 81. Shaojie Tang, Hengyong Yu, and Xuanqin Mou; Survey on CT data consistency conditions and their applications; Chinese Journal of Stereology and Image Analysis; 27(4): 423-435, 2022. 82. Zhitao Guo, Jikai Yang, Linlin Zhao, Jinli Yuan, and Hengyong Yu; 3D SAACNet with GBM for the classification of benign and malignant lung nodules; Computers in Biology and Medicine, Vol. 153, ID:106532, 12 pages, 2023. 83. Shaoyu Wang, Weiwen Wu, Ailong Cai, Yongshun Xu, Varut Vardhanabhuti, Fenglin Liu*, Hengyong 84. Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu*; CTformer: Convolution-free T2T dilated vision Transformer for Low-dose CT Denoising; Physics in Medicine and Biology; 68(6), Article ID: 065012, 2023. 85. Liying Han, Fugai Li, Hengyong Yu, Kewen Xia, Qiyuan Xin and Xiaoyu Zou; BiRPN-YOLOvX: A weighted bidirectional recursive feature pyramid algorithm for lung nodule detection; Journal of X-ray Science and Technology, 31(2):301-317, 2023. 86. Shaoyu Wang, Ailong Cai, Weiwen Wu, Tao Zhang, Fenglin Liu*, Hengyong Yu*; IMD-MTFC: Image-domain material decomposition via material-image tensor factorization and clustering for spectral CT; IEEE Transactions on Radiation and Plasma Medical Sciences; 7(4):382-393, 2023. 87. Ying Chu*, Fan Chen, Hong Fu, and Hengyong Yu; Detection of Air Pollution in Urban Areas Using Monitoring Images, Atmosphere, 14(5), Article ID: 772, 14 pages, 2023. 88. Chenggang Lu, Jinli Yuan*, Kewen Xia*, Zhitao Guo, Muxuan Chen, and Hengyong Yu; Regional perception and multi-scale feature fusion network for cardiac segmentation, Physics in Medicine and Biology; 68(10), Article ID: 105003, 16 pages, 2023. 89. Fan Chen, Hong Fu, Hengyong Yu, and Ying Chu*; Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality; Sensor, 23(10), Article ID:4974, 21 pages, 2023. 90. Fan Chen, Hong Fu, Hengyong Yu, Ying Chu*; No-reference image quality assessment based on a multitask image restoration network; Applied Sciences, 13(11), Article ID: 6802, 20 pages, 2023. 91. Jinli Yuan, Feng Zhou, Zhitao Guo*, Xiaozeng Li, Hengyong Yu; HCformer: Hybrid 92. Shilong Wang, Hang Liu, Anil Gaihre and Hengyong Yu*; ezLDA: Efficient and 93. Zhan Wu, Xinyun Zhong, Tianling Lyv, Dayang Wang, Ruifeng Chen, Xu Yan, Gouenou Coatrieux, Xu Ji*, Hengyong Yu*, and Yang Chen, and Xiaoli Mai*; Deep Duel-domain United Guiding Learning with Global-Local Transformer-Convolution U-Net for LDCT Reconstruction, IEEE Transactions on Instrument and Measurement, Vol. 72, Article ID: 4508615, 15 pages, 2023. 94. Xiaodong Guo, Yonghui Li, Dingyue Chang, Peng He*, Peng Feng, Hengyong Yu*, and Weiwen 95. Dayang Wang, Boce Zhang, Yongshun Xu, Yaguang Luo*, and Hengyong Yu*; SQ-Swin: Siamese Quadratic Swin Transformer for Lettuce Browning Prediction; IEEE Access, Vol. 11, pp. 128724-128735, 2023. 96. Zirong Li, Yanyang Wang, Jianjia Zhang, Weiwen Wu*, and Hengyong Yu*; Two-and-a-half order score-based model for solving 3D ill-posed inverse problems; Computers in Biology and Medicine, Vol. 168, ID:107819, 12 pages, 2024. 97. Zhen Jia, Yaguang Luo, Dayang Wang, Emma Holliday, Arnav Sharma, Madison M. Green, Michelle R. Roche, Katherine Thompson-Witrick, Genevieve Flock, Arne J. Pearlstein, Hengyong Yu, Boce Zhang; Surveillance of pathogenic bacteria on a food matrix using machine-learning-enabled paper chromogenic arrays; Biosensors and Bioelectronics, Vol.248, Article ID:115999, 12 pages, 2024. 98. Jiayi Pan, Hengyong Yu, Zhifan Gao, Shaoyu Wang, Heye Zhang, and Weiwen Wu*; Iterative residual 99. Kailin Xue, Jianfei Yin, Hengyong Yu, Hong Fu*, and Ying Chu*; Passive aggressive ensemble 100. Yuqing Chen, Zhitao Guo, Jinli Yuan, Xiaozeng Li, and Hengyong Yu; Dual-TranSpeckle: 101. Panpan Wu, Yue Qu, Ziping Zhao, Yue Cui, Yurou Xu, Peng An, and Hengyong Yu*; An adaptive 102. Zirong Li, Kang An, Hengyong Yu, Fulin Luo, Jiayi Pan, Shoyu Wang, Jianjia Zhang, Dingyue 103. Zhen Jia, Zhuangsheng Lin, Yaguang Luo, Zachary Cardoso, Dayang Wang, Genevieve Flock, Katherine A. Thompson-Witrick, Hengyong Yu, Boce Zhang*; Enhancing Pathogen Identification in Cheese with High Background Microflora Using An Artificial Neural Network-Enabled Paper Chromogenic Array Sensor Approach; Sensors and Actuators B: Chemical; Vol.410, Article ID:135675, 10 pages, 2024. 104. Yongshun Xu, Shuo Han, Dayang Wang, Ge Wang, Jonathan S. Maltz, and Hengyong Yu*; Hybrid U-Net and Swin-Transformer Network for Limited-angle Cardiac Computed Tomography, Physics in Medicine and Biology, 69(10), Article ID: 105012, 15 pages, 2024. 105. Jianjia Zhang, Haiyang Mao, Dingyue Chang, Hengyong Yu*, Weiwen Wu*, and Dingang Shen*; Adaptive and iterative learning with multi-perspective regularizations for metal artifact reduction; IEEE Transactions on Medical Imaging, 43(9):3354-3365, 2024. 106. Dayang Wang, Shuo Han, Yongshun Xu, Zhan Wu, Li Zhou, Bahareh Morovati, Hengyong Yu*; LoMAE: Simple Streamlined Low-level Masked Autoencoders for Robust, Generalized, and Interpretable Low-dose CT Denoising, IEEE Journal of Biomedical and health Informatics, accepted, to appear. 107. Dayang Wang, Fenglei Fan, Bojian Hou, Hao Zhang, Zhen Jia, Boec Zhang, Rongjia Lai*, Hengyong 108. Shuo Han, Ge Wang, Jonathan Maltz, and Hengyong Yu*; Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac CT; IEEE Transactions on Medical Imaging, accepted, to appear |