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Mengfan Geng

Showing results (1-10 of 4) with videos related to

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BMJ Supportive & Palliative Care|December 9, 2025
Kidney failure: screening tools for palliative care needs - systematic reviewMiaomiao Liu, Junxiu Luo, Yan Zhang, 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.
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.
IEEE Transactions on Medical Imaging|May 29, 2025
Deep Learning Enables Fast and Accurate Quantification of MRI-Guided Near-Infrared Spectral Tomography for Breast Cancer DiagnosisJinchao Feng, Yuzhu Tang, Shumin Lin, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
BMJ Supportive & Palliative Care|December 9, 2025
Kidney failure: screening tools for palliative care needs - systematic reviewMiaomiao Liu, Junxiu Luo, Yan Zhang, 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.
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.
IEEE Transactions on Medical Imaging|May 29, 2025
Deep Learning Enables Fast and Accurate Quantification of MRI-Guided Near-Infrared Spectral Tomography for Breast Cancer DiagnosisJinchao Feng, Yuzhu Tang, Shumin Lin, et al.
Pageof 1