Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Xia, Menghua"'
Autor:
Xie, Huidong, Guo, Liang, Velo, Alexandre, Liu, Zhao, Liu, Qiong, Guo, Xueqi, Zhou, Bo, Chen, Xiongchao, Tsai, Yu-Jung, Miao, Tianshun, Xia, Menghua, Liu, Yi-Hwa, Armstrong, Ian S., Wang, Ge, Carson, Richard E., Sinusas, Albert J., Liu, Chi
Rb-82 is a radioactive isotope widely used for cardiac PET imaging. Despite numerous benefits of 82-Rb, there are several factors that limits its image quality and quantitative accuracy. First, the short half-life of 82-Rb results in noisy dynamic fr
Externí odkaz:
http://arxiv.org/abs/2409.11543
Autor:
Chen, Tianqi, Hou, Jun, Zhou, Yinchi, Xie, Huidong, Chen, Xiongchao, Liu, Qiong, Guo, Xueqi, Xia, Menghua, Duncan, James S., Liu, Chi, Zhou, Bo
Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces radiation hazards to patients and healthcare providers. Reducing the tracer injection dose and eliminating the CT acquisition for attenuation correctio
Externí odkaz:
http://arxiv.org/abs/2406.08374
Autor:
Xie, Huidong, Gan, Weijie, Zhou, Bo, Chen, Ming-Kai, Kulon, Michal, Boustani, Annemarie, Spencer, Benjamin A., Bayerlein, Reimund, Ji, Wei, Chen, Xiongchao, Liu, Qiong, Guo, Xueqi, Xia, Menghua, Zhou, Yinchi, Liu, Hui, Guo, Liang, An, Hongyu, Kamilov, Ulugbek S., Wang, Hanzhong, Li, Biao, Rominger, Axel, Shi, Kuangyu, Wang, Ge, Badawi, Ramsey D., Liu, Chi
Reducing scan times, radiation dose, and enhancing image quality, especially for lower-performance scanners, are critical in low-count/low-dose PET imaging. Deep learning (DL) techniques have been investigated for PET image denoising. However, existi
Externí odkaz:
http://arxiv.org/abs/2405.12996
Autor:
Xia, Menghua, Xie, Huidong, Liu, Qiong, Zhou, Bo, Wang, Hanzhong, Li, Biao, Rominger, Axel, Shi, Kuangyu, Fakhri, Georges EI, Liu, Chi
Deep learning-based positron emission tomography (PET) image denoising offers the potential to reduce radiation exposure and scanning time by transforming low-count images into high-count equivalents. However, existing methods typically blur crucial
Externí odkaz:
http://arxiv.org/abs/2404.17994
Autor:
Jiao, Jing, Zhou, Jin, Li, Xiaokang, Xia, Menghua, Huang, Yi, Huang, Lihong, Wang, Na, Zhang, Xiaofan, Zhou, Shichong, Wang, Yuanyuan, Guo, Yi
Inadequate generality across different organs and tasks constrains the application of ultrasound (US) image analysis methods in smart healthcare. Building a universal US foundation model holds the potential to address these issues. Nevertheless, the
Externí odkaz:
http://arxiv.org/abs/2401.00153
Autor:
Jiao, Jing, Zhou, Jin, Li, Xiaokang, Xia, Menghua, Huang, Yi, Huang, Lihong, Wang, Na, Zhang, Xiaofan, Zhou, Shichong, Wang, Yuanyuan, Guo, Yi
Publikováno v:
In Medical Image Analysis August 2024 96
Publikováno v:
In Bioresource Technology May 2024 399
Publikováno v:
In Medical Image Analysis August 2023 88
Publikováno v:
In Journal of the Franklin Institute July 2022 359(10):5078-5096
Publikováno v:
Environmental Science & Pollution Research; Jun2024, Vol. 31 Issue 30, p42991-43004, 14p