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Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations., , , , и . IEEE Trans. Medical Imaging, 39 (11): 3691-3702 (2020)3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis., , , , , , , , , и . IEEE Trans. Medical Imaging, 38 (6): 1328-1339 (2019)Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space., , , , , и . IEEE Trans. Medical Imaging, 38 (12): 2838-2848 (2019)Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network., , , , , , , , и . Pattern Recognit., (ноября 2023)ABCnet: Adversarial bias correction network for infant brain MR images., , , , , , , , и . Medical Image Anal., (2021)Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants., , , , и . Medical Image Anal., 18 (8): 1274-1289 (2014)Analyzing attributes of vessel populations., , , , и . Medical Image Anal., 9 (1): 39-49 (2005)The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development., , , , , , , , , и 9 other автор(ы). NeuroImage, (2019)An attention-based context-informed deep framework for infant brain subcortical segmentation., , , , , , и . NeuroImage, (апреля 2023)A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort., , , , , , , , и . NeuroImage, (2022)