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Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT).

, , , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 556-566. Springer, (2022)

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Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation., , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 777-785. Springer, (2018)Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)., , , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 556-566. Springer, (2022)Colorectal polyp segmentation with denoising diffusion probabilistic models., , , and . Comput. Biol. Medicine, (2024)Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis., and . CoRR, (2023)Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy., , , , , and . CoRR, (2021)Adaptively Dense Feature Pyramid Network for Object Detection., , and . IEEE Access, (2019)Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM., , , and . IGARSS, page 1496-1499. IEEE, (2016)Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation., and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 347-358. Springer, (2020)Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation., , , and . CoRR, (2024)Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (9): 1687-1701 (2016)