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DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution., , , , , , , и . CoRR, (2019)Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI., , , , , , и . Biomed. Signal Process. Control., (2020)Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics., , , , , , , и . Biomed. Signal Process. Control., (июля 2023)Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data., , , и . Biomed. Signal Process. Control., (2021)Parameter Constrained Transfer Learning for Low Dose PET Image Denoising., , , , , , , и . CoRR, (2019)3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary nodules., , , , , , и . Int. J. Imaging Syst. Technol., 32 (5): 1727-1742 (2022)Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules., , , , , и . IEEE J. Biomed. Health Informatics, 27 (1): 109-120 (2023)LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset., , , , , и . CoRR, (2019)Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning., , , , , , и . ISBI, стр. 1-5. IEEE, (2020)Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging., , , , и . MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 30-38. Springer, (2019)