Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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, and X. He. Multim. Syst., 25 (2): 135-145 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Xuelei Huang

Hongxia He

Chunmao He

Ning He

Xiaowen He

Other publications of authors with the same name

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, and Y. Hou. Medical Imaging: Image Processing, volume 12464 of 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, and X. He. EMBC, page 1-5. IEEE, (2023)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, and X. He. Multim. Syst., 25 (2): 135-145 (2019)Inscription-Image Inpainting with Edge Structure Reconstruction.H. Liu, X. He, J. Zhu, and X. He. ICIG (3), volume 14357 of Lecture Notes in Computer Science, page 16-27. Springer, (2023)L1-L2 Minimization Via A Proximal Operator For Fluorescence Molecular Tomography.H. Zhang, H. Guo, S. Li, Y. Liu, X. He, X. He, and Y. Hou. EMBC, page 3640-3645. IEEE, (2021)End-To-End Bioluminescence Tomography Reconstruction Based On Convolution Neural Network Scheme.S. Li, X. He, H. Zhang, H. Guo, and X. He. EMBC, page 3634-3639. IEEE, (2021)Multi-source bioluminescene tomography reconstruction approach base on subspace decision.X. Wei, H. Guo, X. He, J. Yu, and X. He. Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)MGP-Net: Margin-Global Information Optimization-Prototype Network for Few-Shot Ancient Inscriptions Classification.J. Zhu, X. He, H. Liu, and X. He. ICIG (3), volume 14357 of Lecture Notes in Computer Science, page 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, and X. He. Comput. Methods Programs Biomed., (March 2023)Structure-fused deep 3D hierarchical network: A bioluminescence tomography scheme for different imaging objects.B. Wang, S. Li, X. He, Y. Zhao, H. Zhang, X. He, J. Yu, and H. Guo. EMBC, page 1-5. IEEE, (2023)

BibSonomy

Disambiguation of "He, Xuelei"

Please choose a person to relate this publication to

Xuelei Huang

Hongxia He

Chunmao He

Ning He

Xiaowen He

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "He, Xuelei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient image reconstruction for fluorescence molecular tomography via linear regression approximation scheme with dual augmented Lagrangian method.

Please choose a person to relate this publication to

Xuelei Huang

Hongxia He

Chunmao He

Ning He

Xiaowen He

Other publications of authors with the same name

Disambiguation