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Topology guided demons registration with local rigidity preservation., , and . EMBC, page 1171-1174. IEEE, (2016)Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies., , , , , and . EMBC, page 3658-3688. IEEE, (2019)A statistical method for lung tumor segmentation uncertainty in PET images based on user inference., , and . EMBC, page 2255-2258. IEEE, (2015)Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation., , , and . MLMIR@MICCAI, volume 12450 of Lecture Notes in Computer Science, page 145-152. Springer, (2020)CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images., , , , and . EMBC, page 1-4. IEEE, (2023)Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search., , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 763-771. Springer, (2020)Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (9): 4776-4792 (2022)Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images., , , and . CoRR, (2022)Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images., , , , , , , , and . IEEE Trans. Cybern., 53 (6): 3532-3545 (June 2023)A Hybrid Clustering Method for ROI Delineation in Small-Animal Dynamic PET Images: Application to the Automatic Estimation of FDG Input Functions., , , and . IEEE Trans. Inf. Technol. Biomed., 15 (2): 195-205 (2011)