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Semi-Automatic Synthetic Computed Tomography Generation for Abdomens Using Transfer Learning and Semi-Supervised Classification., , , , , , , , , and . J. Medical Imaging Health Informatics, 9 (9): 1878-1886 (2019)Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps., , , , , , , and . ICSE, page 1583-1595. IEEE, (2023)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)Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach., , , , , , , , , and 2 other author(s). Artif. Intell. Medicine, (2018)Structural Attack against Graph Based Android Malware Detection., , , , , , , , and . CCS, page 3218-3235. ACM, (2021)BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection., , , , , , and . ICDE, page 14-26. IEEE, (2022)Knowledge-leveraged transfer fuzzy C-Means for texture image segmentation with self-adaptive cluster prototype matching., , , , , , and . Knowl. Based Syst., (2017)A Transfer Fuzzy Clustering and Neural Network Based Tissue Segmentation Method During PET/MR Attenuation Correction., , , , , , , , and . J. Medical Imaging Health Informatics, 9 (7): 1491-1497 (2019)SAID: State-aware Defense Against Injection Attacks on In-vehicle Network., , , , , , , , and . USENIX Security Symposium, page 1921-1938. USENIX Association, (2022)From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection., , , , , , , and . CoRR, (2022)