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UNETR: Transformers for 3D Medical Image Segmentation., , , , , , , and . WACV, page 1748-1758. IEEE, (2022)Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis., , , , , , , and . CVPR, page 20698-20708. IEEE, (2022)The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation., , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 456-465. Springer, (2021)Deep Active Lesion Segmentation., , , , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 98-105. Springer, (2019)An Empirical Study of Mamba-based Language Models., , , , , , , , , and 6 other author(s). CoRR, (2024)ViR: Vision Retention Networks., , and . CoRR, (2023)Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation.. University of California, Los Angeles, USA, (2020)Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network., , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 8 (5): 509-518 (2020)End-to-End Boundary Aware Networks for Medical Image Segmentation., , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 187-194. Springer, (2019)Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation., , , , , , , , , and . CVPR, page 20834-20843. IEEE, (2022)