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MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks.

, , , , , , , , , , and . Artif. Intell. Medicine, (September 2023)

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Sparsity-Based Time Delay Estimation Through the Matched Filter Outputs., , , , and . IEEE Signal Process. Lett., (2022)MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks., , , , , , , , , and 1 other author(s). Artif. Intell. Medicine, (September 2023)Intrinsic Image Decomposition with Step and Drift Shading Separation., , , , and . IEEE Trans. Vis. Comput. Graph., 26 (2): 1332-1346 (2020)Joint alignment and compactness learning for multi-source unsupervised domain adaptation., , , , , and . ICMV, volume 12084 of SPIE Proceedings, page 120841E. SPIE, (2021)Multiview-coherent disocclusion synthesis using connected regions optimization., , , , , and . Comput. Animat. Virtual Worlds, (2019)Illumination-Guided Video Composition via Gradient Consistency Optimization., , , , and . IEEE Trans. Image Process., 28 (10): 5077-5090 (2019)GAN-based pencil drawing learning system for art education on large-scale image datasets with learning analytics., , , , , and . Interact. Learn. Environ., 31 (5): 2544-2561 (July 2023)SRNPD: Spatial rendering network for pencil drawing stylization., , , , , and . Comput. Animat. Virtual Worlds, (2019)Broad Colorization., , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (6): 2330-2343 (2021)InspireMePosing: Learn Pose and Composition from Portrait Examples., , , , , and . PG (Short Papers and Posters), page 33-35. Eurographics Association, (2018)