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Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario., , , , и . ISMR, стр. 1-8. IEEE, (2022)Harmonizing Transferability and Discriminability for Adapting Object Detectors., , , , и . CVPR, стр. 8866-8875. Computer Vision Foundation / IEEE, (2020)FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space., , , , и . CVPR, стр. 1013-1023. Computer Vision Foundation / IEEE, (2021)Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance., , , , , и . MICCAI (3), том 13433 из Lecture Notes in Computer Science, стр. 196-206. Springer, (2022)Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation., , , , и . CoRR, (2020)RecolorNeRF: Layer Decomposed Radiance Field for Efficient Color Editing of 3D Scenes., , , и . CoRR, (2023)Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study., , , , , , , , , и 11 other автор(ы). npj Digit. Medicine, (2022)DCAN: Deep contour-aware networks for object instance segmentation from histology images., , , , , и . Medical Image Anal., (2017)VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images., , , , и . NeuroImage, (2018)Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis., , , , , , , , и . IEEE Trans. Cybern., 50 (9): 3950-3962 (2020)