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Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision.

, , , , , , , , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (1): 70-82 (2021)

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mDixon-based synthetic CT generation via transfer and patch learning., , , , , , , and . Pattern Recognit. Lett., (2020)mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification., , , , , , , , , and 9 other author(s). IEEE Trans. Medical Imaging, 39 (4): 819-832 (2020)Locality Preserving Semi-Supervised Support Vector Machine., , , , and . J. Inf. Sci. Eng., 31 (6): 2009-2024 (2015)A Special Section on Deep-Transfer-Leveraged Studies on Medical Imaging and Related Applications., , and . J. Medical Imaging Health Informatics, 10 (7): 1562-1563 (2020)A Novel Radial Basis Neural Network-Leveraged Fast Training Method for Identifying Organs in MR Images., , , , and . Comput. Math. Methods Medicine, (2020)Cross-domain, soft-partition clustering with diversity measure and knowledge reference., , , , , , and . Pattern Recognit., (2016)Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision., , , , , , , , , and 4 other author(s). IEEE ACM Trans. Comput. Biol. Bioinform., 18 (1): 70-82 (2021)Multi-View Maximum Entropy Clustering by Jointly Leveraging Inter-View Collaborations and Intra-View-Weighted Attributes., , , , , , , and . IEEE Access, (2018)Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering., , , , , , and . IEEE Trans. Cybern., 46 (1): 181-193 (2016)