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Automated zone recognition for retinopathy of prematurity using deep neural network with attention mechanism and deep supervision strategy., , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Differential Game Analysis of Energy Efficiency for Satellite Communication Subsystems., , , and . ACTEA, page 217-222. IEEE, (2023)Automated retinopathy of prematurity screening using deep neural network with attention mechanism., , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131321. SPIE, (2020)Research on Answer Selection Based on LSTM., and . IALP, page 357-361. IEEE, (2018)Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification., , , , , , , , , and 14 other author(s). CoRR, (2023)MsTGANet: Automatic Drusen Segmentation From Retinal OCT Images., , , , , , , , , and . IEEE Trans. Medical Imaging, 41 (2): 394-406 (2022)Automatic Staging for Retinopathy of Prematurity With Deep Feature Fusion and Ordinal Classification Strategy., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 40 (7): 1750-1762 (2021)High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction., , , , , , , , , and 1 other author(s). MICCAI (6), volume 12906 of Lecture Notes in Computer Science, page 372-381. Springer, (2021)A Channel Pruning Algorithm Based on Depth-Wise Separable Convolution Unit., , , and . IEEE Access, (2019)Lung lobe segmentation in computed tomography images based on multi-feature fusion and ensemble learning framework., and . Int. J. Imaging Syst. Technol., 33 (6): 2088-2099 (November 2023)