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ANT-UNet: Accurate and Noise-Tolerant Segmentation for Pathology Image Processing., , , , , и . BioCAS, стр. 1-4. IEEE, (2019)Internet Self-Efficacy, the Need for Cognition, and Sensation Seeking as Predictors of Problematic Use of the Internet., , и . Cyberpsy., Behavior, and Soc. Networking, 14 (4): 231-234 (2011)Research of Dynamic Load Identification Based on Extreme Learning Machine., , , и . ISNN (1), том 7367 из Lecture Notes in Computer Science, стр. 80-89. Springer, (2012)DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation., , , , , , , и . MICCAI (4), том 12264 из Lecture Notes in Computer Science, стр. 98-107. Springer, (2020)A Current-Switching Communication Technique for Miniaturized Medical Implants., , , и . BioCAS, стр. 1-4. IEEE, (2019)Imaging epigenetic regulation by histone deacetylases in the brain using PET/MRI with 18F-FAHA., , , , , , , , , и 13 other автор(ы). NeuroImage, (2013)Epileptic foci localization based on mapping the synchronization of dynamic brain network., , , , , , и . BMC Medical Informatics Decis. Mak., 19-S (1): 19:1-19:11 (2019)Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson's disease: a systematic review and meta-analysis., , , , , , , , , и 6 other автор(ы). npj Digit. Medicine, (2024)AIGAN: Attention-encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images., , , , , , , , , и 4 other автор(ы). Medical Image Anal., (мая 2023)RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection., , , , и . IEEE Trans. Neural Networks Learn. Syst., 32 (8): 3401-3411 (2021)