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Efficient image reconstruction for fluorescence molecular tomography via linear regression approximation scheme with dual augmented Lagrangian method.

B. Wang, X. Zhang, Y. Hou, X. He, H. Yi, и X. He. Multim. Syst., 25 (2): 135-145 (2019)

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Xuelei Huang

Chunmao He

Ning He

Hongxia He

Xiaowen He

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Efficient image reconstruction for fluorescence molecular tomography via linear regression approximation scheme with dual augmented Lagrangian method.B. Wang, X. Zhang, Y. Hou, X. He, H. Yi, и X. He. Multim. Syst., 25 (2): 135-145 (2019)L1-L2 Minimization Via A Proximal Operator For Fluorescence Molecular Tomography.H. Zhang, H. Guo, S. Li, Y. Liu, X. He, X. He, и Y. Hou. EMBC, стр. 3640-3645. IEEE, (2021)End-To-End Bioluminescence Tomography Reconstruction Based On Convolution Neural Network Scheme.S. Li, X. He, H. Zhang, H. Guo, и X. He. EMBC, стр. 3634-3639. IEEE, (2021)Inscription-Image Inpainting with Edge Structure Reconstruction.H. Liu, X. He, J. Zhu, и X. He. ICIG (3), том 14357 из Lecture Notes in Computer Science, стр. 16-27. Springer, (2023)Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction.H. Zhang, X. He, H. Guo, Y. Liu, S. Li, Y. Zhao, X. He, J. Yu, и Y. Hou. Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)One-dimensional convolutional neural network for Jacobian in Diffuse Optical Tomography.H. Yi, R. Yang, X. He, H. Guo, B. Wang, Y. Hou, и X. He. EMBC, стр. 1-5. IEEE, (2023)Multi-source bioluminescene tomography reconstruction approach base on subspace decision.X. Wei, H. Guo, X. He, J. Yu, и X. He. Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)MGP-Net: Margin-Global Information Optimization-Prototype Network for Few-Shot Ancient Inscriptions Classification.J. Zhu, X. He, H. Liu, и X. He. ICIG (3), том 14357 из Lecture Notes in Computer Science, стр. 162-173. Springer, (2023)A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography.M. Chu, H. Guo, X. He, B. Wang, Y. Liu, X. Hu, J. Yu, и X. He. Comput. Methods Programs Biomed., (марта 2023)MLWF-Net: Multiple lung windows based fusion network for segmentation of small infected areas in COVID-19 CT slices.C. Han, X. He, X. He, Z. Huang, C. Zhang, и Y. Huang. CSCWD, стр. 588-593. IEEE, (2024)

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