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Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.

S. Pan, E. Abouei, J. Wynne, T. Wang, R. Qiu, Y. Li, C. Chang, J. Peng, J. Roper, P. Patel, D. Yu, H. Mao, and X. Yang. CoRR, (2023)

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Ning-hui Mao

Tongsheng Mao

Yiqin Mao

Lei Mao

Zhengrong Mao

Other publications of authors with the same name

Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model.S. Pan, E. Abouei, J. Peng, J. Qian, J. Wynne, T. Wang, C. Chang, J. Roper, J. Nye, H. Mao and 1 other author(s). CoRR, (2023)Automatic Cross-Domain Transfer Learning for Linear Regression.L. Xinshun, H. Xin, M. Hui, L. Jing, L. Weizhong, and Y. Qingwen. CoRR, (2020)Accurate Probabilistic Miss Ratio Curve Approximation for Adaptive Cache Allocation in Block Storage Systems.R. Li, Y. Tang, Q. Shi, H. Mao, L. Chen, J. Jin, P. Lu, and Z. Cheng. DATE, page 1197-1202. IEEE, (2022)Accelerate SAT-based ATPG via Preprocessing and New Conflict Management Heuristics.J. Huang, H. Zhen, N. Wang, M. Yuan, H. Mao, Y. Huang, and J. Tao. ASP-DAC, page 365-370. IEEE, (2022)Robust Vectorized Surface Reconstruction with 2D-3D Joint Optimization.C. Wang, Y. Xu, M. Tang, J. Li, H. Mao, and S. Pu. SIGGRAPH Asia Posters, page 26:1-26:2. ACM, (2022)A MRI-CT prostate registration using sparse representation technique.X. Yang, A. Jani, P. Rossi, H. Mao, W. Curran, and T. Liu. Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978627. SPIE, (2016)Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.Q. Zeng, Y. Fu, J. Jeong, Y. Lei, T. Wang, H. Mao, A. Jani, P. Patel, W. Curran, T. Liu and 1 other author(s). Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132Y. SPIE, (2020)MRI-based synthetic CT generation using deep convolutional neural network.Y. Lei, T. Wang, Y. Liu, K. Higgins, S. Tian, T. Liu, H. Mao, H. Shim, W. Curran, H. Shu and 1 other author(s). Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492T. SPIE, (2019)Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image.J. Jeong, B. Ji, Y. Lei, L. Wang, T. Liu, A. Ali, W. Curran, H. Mao, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 1095329. SPIE, (2019)Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.Y. Fu, Y. Lei, T. Wang, P. Patel, A. Jani, H. Mao, W. Curran, T. Liu, and X. Yang. Medical Image Anal., (2021)

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Disambiguation of "Mao, Hui"

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Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.

Please choose a person to relate this publication to

Ning-hui Mao

Tongsheng Mao

Yiqin Mao

Lei Mao

Zhengrong Mao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mao, Hui"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.

Please choose a person to relate this publication to

Ning-hui Mao

Tongsheng Mao

Yiqin Mao

Lei Mao

Zhengrong Mao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.