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Kebin Jia

Showing results (31-40 of 45) with videos related to

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Brain Sciences|July 9, 2020
State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance ImagesMuhammad Yaqub, Feng Jinchao, M Sultan Zia, et al.
Medical Physics|November 4, 2011
An adaptive regularization parameter choice strategy for multispectral bioluminescence tomographyJinchao Feng, Chenghu Qin, Kebin Jia, et al.
Biomedical Optics Express|March 6, 2023
Selfrec-Net: self-supervised deep learning approach for the reconstruction of Cherenkov-excited luminescence scanned tomographyWenqian Zhang, Ting Hu, Zhe Li, et al.
Computational and Mathematical Methods in Medicine|August 29, 2012
Sparse reconstruction for bioluminescence tomography based on the semigreedy methodWei Guo, Kebin Jia, Qian Zhang, et al.
Applied Optics|July 10, 2012
Total variation regularization for bioluminescence tomography with the split Bregman methodJinchao Feng, Chenghu Qin, Kebin Jia, et al.
Applied Optics|August 14, 2012
Efficient sparse reconstruction algorithm for bioluminescence tomography based on duality and variable splittingWei Guo, Kebin Jia, Dong Han, et al.
Optica|March 28, 2022
Deep-learning based image reconstruction for MRI-guided near-infrared spectral tomographyJinchao Feng, Wanlong Zhang, Zhe Li, et al.
Applied Optics|August 12, 2025
Multiscale local sparsity and prior learning algorithm for Cherenkov-excited luminescence scanned tomography reconstructionHu Zhang, Ting Hu, Mengfan Geng, et al.
Journal of Biomedical Optics|February 23, 2023
X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality moduleJinchao Feng, Hu Zhang, Mengfan Geng, et al.
APL Bioengineering|July 23, 2025
Continuous noninvasive blood pressure estimation using tissue blood flow measured by diffuse correlation spectroscopyZhe Li, Jiangtao Bai, Xiangyu Cao, et al.
Pageof 5

Showing results (31-40 of 45) with videos related to

Sort By:
Pageof 5
Brain Sciences|July 9, 2020
State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance ImagesMuhammad Yaqub, Feng Jinchao, M Sultan Zia, et al.
Medical Physics|November 4, 2011
An adaptive regularization parameter choice strategy for multispectral bioluminescence tomographyJinchao Feng, Chenghu Qin, Kebin Jia, et al.
Biomedical Optics Express|March 6, 2023
Selfrec-Net: self-supervised deep learning approach for the reconstruction of Cherenkov-excited luminescence scanned tomographyWenqian Zhang, Ting Hu, Zhe Li, et al.
Computational and Mathematical Methods in Medicine|August 29, 2012
Sparse reconstruction for bioluminescence tomography based on the semigreedy methodWei Guo, Kebin Jia, Qian Zhang, et al.
Applied Optics|July 10, 2012
Total variation regularization for bioluminescence tomography with the split Bregman methodJinchao Feng, Chenghu Qin, Kebin Jia, et al.
Applied Optics|August 14, 2012
Efficient sparse reconstruction algorithm for bioluminescence tomography based on duality and variable splittingWei Guo, Kebin Jia, Dong Han, et al.
Optica|March 28, 2022
Deep-learning based image reconstruction for MRI-guided near-infrared spectral tomographyJinchao Feng, Wanlong Zhang, Zhe Li, et al.
Applied Optics|August 12, 2025
Multiscale local sparsity and prior learning algorithm for Cherenkov-excited luminescence scanned tomography reconstructionHu Zhang, Ting Hu, Mengfan Geng, et al.
Journal of Biomedical Optics|February 23, 2023
X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality moduleJinchao Feng, Hu Zhang, Mengfan Geng, et al.
APL Bioengineering|July 23, 2025
Continuous noninvasive blood pressure estimation using tissue blood flow measured by diffuse correlation spectroscopyZhe Li, Jiangtao Bai, Xiangyu Cao, et al.
Pageof 5