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 001; Yizhang Jiang; Kaifa Zhao; Rose Al Helo; Harry Friel; Atallah Baydoun; Feifei Zhou; Jin Uk Heo; Norbert Avril; et al. (IEEE Trans. Medical Imaging, 2020)

Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision. - Pengjiang Qian; Jiamin Zheng; Qiankun Zheng; Yuan Liu 021; Tingyu Wang; Rose Al Helo; Atallah Baydoun; Norbert Avril; Rodney J. Ellis; Harry Friel; Melanie S. Traughber; Ajit Devaraj; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)