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Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising., , , , , и . IEEE Access, (2021)Predicting Drug-Target Interactions With Multi-Information Fusion., , , , и . IEEE J. Biomed. Health Informatics, 21 (2): 561-572 (2017)A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist., , , , , , и . BIBM, стр. 281-286. IEEE, (2022)STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering., , , , и . Comput. Biol. Medicine, (ноября 2023)Improving the Adaptiveness of FAST TCP Based on the Stability with Time-Delay., , , и . TrustCom, стр. 1444-1451. IEEE Computer Society, (2011)Locality-Constrained Low-Rank Coding for Image Classification., , и . AAAI, стр. 2780-2786. AAAI Press, (2014)On Efficient Feature Ranking Methods for High-Throughput Data Analysis., , , , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 12 (6): 1374-1384 (2015)Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging., , , , , , , и . Comput. Methods Programs Biomed., (марта 2023)Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning., , , , , и . BIBM, стр. 168-173. IEEE, (2022)MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism., , , , , и . J. Chem. Inf. Model., 64 (16): 6684-6698 (2024)