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• Nhu-Tai Do†, Hoang-Son Vo-Thanh†, Tram-Tran Nguyen-Quynh†, and Soo-Hyung Kim, "3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 3215-3219, https://doi.org/10.1109/ICIP49359.2023.10222602 • Hoang-Son Vo-Thanh, Tram-Tran Nguyen-Quynh, Nhu-Tai Do, and Soo-Hyung Kim, “3D Dual-Fusion Attention Network: A fusion attention network for Brain Tumor Segmentation,” in ASK 2023 : Annual Spring Conference of KIPS, pp. 496–498, 2023. • Tai Do Nhu†, Son Vo Thanh Hoang†, Tram Tran Nguyen Quynh, Huy Nguyen Thanh, Thanh Nguyen Thi Ngoc, Huy Nguyen Quoc and Soo-Hyung Kim, “Brain Tumor segmentation based on deep supervision and context feature fusion”, The 16th National Conference on Fundamental and Applied IT Research, FAIR'2023. https://doi.org/110.15625/vap.2023.0017 • Son Vo Thanh Hoang, Tram Tran Nguyen Quynh, Huy Nguyen Quoc and Tai Do Nhu, “DCDynUnet: Deep Supervision Attention Context for Brain Segmentation”, in Advances in Information and Communication Technology, ICTA 2023. Lecture Notes in Networks and Systems, vol 847. Springer, https://doi.org/10.1007/978-3-031-49529-817.