Class-aware adversarial transformers for medical image segmentation. Dong S, Liu F, You C, Zhao R. C You, R Zhao, F Liu, S Dong… - Advances in …, 2022 - proceedings.neurips.cc GSID: GSlCo4iKdo4J
Medical transformer: Gated axial-attention for medical image segmentation. Hacihaliloglu I, Oza P. JMJ Valanarasu, P Oza, I Hacihaliloglu… - Medical Image Computing …, 2021 - Springer GSID: AqKo-gNkpKcJ
ScaleFormer: revisiting the transformer-based backbones from a scale-wise perspective for medical image segmentation. Han X. H Huang, S Xie, L Lin, Y Iwamoto, X Han… - arXiv preprint arXiv …, 2022 - arxiv.org GSID: ZyEBva_gy6EJ
Transformers in medical image analysis: A review. Gao Y, He K, Rekik I, Wang Q. K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang… - Intelligent …, 2022 - Elsevier GSID: VCvwkDlcGukJ
Simcvd: Simple contrastive voxel-wise representation distillation for semi-supervised medical image segmentation. Staib L, You C, Zhao R, Zhou Y. C You, Y Zhou, R Zhao, L Staib… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org GSID: 247mBKH4rHoJ
Semi-supervised medical image segmentation via cross teaching between cnn and transformer. Hu M, Luo X, Song T, Wang G. X Luo, M Hu, T Song, G Wang… - … Conference on Medical …, 2022 - proceedings.mlr.press GSID: jDVjlhKsJm4J
