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SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities., , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 48-62. PMLR, (2022)Deep Frequency Re-calibration U-Net for Medical Image Segmentation., , , , and . ICCVW, page 3267-3276. IEEE, (2021)Contextual Attention Network: Transformer Meets U-Net., , , and . MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 377-386. Springer, (2022)Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning., , , , and . CoRR, (2023)INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings., , , , and . WACV, page 1287-1296. IEEE, (2024)LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation., , , , and . CoRR, (2024)Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis., , , , , , , , , and 1 other author(s). CoRR, (2024)Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection., , , , , , and . MICCAI (3), volume 14222 of Lecture Notes in Computer Science, page 736-746. Springer, (2023)End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation., , , and . ISBI, page 1-5. IEEE, (2023)