mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification

Pengjiang Qian, Yangyang Chen, Jung-Wen Kuo, Yu-Dong Zhang, Yizhang Jiang, Kaifa Zhao, Rose Al Helo, Harry Friel, Atallah Baydoun, Feifei Zhou, Jin Uk Heo, Norbert Avril, Karin Herrmann, Rodney Ellis, Bryan J. Traughber, Robert S. Jones, Shitong Wang 0001, Kuan-Hao Su, Raymond F. Muzic Jr.. mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification. IEEE Trans. Med. Imaging, 39(4):819-832, 2020. [doi]

@article{QianCKZJZHFBZHA20,
  title = {mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification},
  author = {Pengjiang Qian and Yangyang Chen and Jung-Wen Kuo and Yu-Dong Zhang and Yizhang Jiang and Kaifa Zhao and Rose Al Helo and Harry Friel and Atallah Baydoun and Feifei Zhou and Jin Uk Heo and Norbert Avril and Karin Herrmann and Rodney Ellis and Bryan J. Traughber and Robert S. Jones and Shitong Wang 0001 and Kuan-Hao Su and Raymond F. Muzic Jr.},
  year = {2020},
  doi = {10.1109/TMI.2019.2935916},
  url = {https://doi.org/10.1109/TMI.2019.2935916},
  researchr = {https://researchr.org/publication/QianCKZJZHFBZHA20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Med. Imaging},
  volume = {39},
  number = {4},
  pages = {819-832},
}