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Residual Contrastive Learning for Joint Demosaicking and Denoising., , , , , and . CoRR, (2021)ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing., , , , , , , , and . AAAI, page 144-152. AAAI Press, (2024)Neural Architecture Search for Adversarial Medical Image Segmentation., , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 828-836. Springer, (2019)SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays., , , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 263-273. Springer, (2018)Federated Contrastive Learning for Decentralized Unlabeled Medical Images., and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 378-387. Springer, (2021)Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling., , , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 745-753. Springer, (2018)ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation., , , , and . CoRR, (2018)zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning., , , and . CoRR, (2023)Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels., , , , , and . CoRR, (2020)Edge Computing with Artificial Intelligence: A Machine Learning Perspective., , , , , and . ACM Comput. Surv., 55 (9): 184:1-184:35 (2023)