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Weakly-Supervised Learning With Complementary Heatmap for Retinal Disease Detection., , and . IEEE Trans. Medical Imaging, 41 (8): 2067-2078 (2022)Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (2): 245-261 (2017)Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow., , , , and . CoRR, (2017)Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming., , , , , and . EMBC, page 3681-3684. IEEE, (2019)Accurate airway segmentation based on intensity structure analysis and graph-cut., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842G. SPIE, (2016)Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment., , , , and . WACV, page 392-401. IEEE, (2023)A study on improvement of airway segmentation using Hybrid method., , , , and . ACPR, page 549-553. IEEE, (2015)Fundus Image Classification and Retinal Disease Localization with Limited Supervision., , and . ACPR (1), volume 12046 of Lecture Notes in Computer Science, page 469-482. Springer, (2019)Misalignment-Free Relation Aggregation for Multi-Source-Free Domain Adaptation., , and . ICCV (Workshops), page 4315-4324. IEEE, (2023)ADINet: Attribute Driven Incremental Network for Retinal Image Classification., and . CVPR, page 4032-4041. Computer Vision Foundation / IEEE, (2020)