1. Zhang, Y., et al.: A comparative study of hybrid models in brain tumor segmentation. Comput. Biol. Med. 41(8), 1123–1130 (2019)
2. Alsubai, S., Khan, H.U., Alqahtani, A., Sha, M., Abbas, S., Mohammad, U.G.: Ensemble deep learning for brain tumor detection. Fronts. Comput. Neurosci. 16, (2022). https://doi.org/10.3389/fncom.2022.1005617
3. Yang, H., et al.: Hierarchical feature representations in ensemble models for brain tissue segmentation. IEEE J. Biomed. Health Inform. 31(11), 1356–1365 (2018)
4. Zhao, L., et al.: Multi-modal fusion techniques for improved brain tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. 39(2), 189–204 (2022)
5. Zhuang, Y., Liu, H., Song, E., Hung, C.C.: A 3D cross-modality feature interaction network with volumetric feature alignment for brain tumor and tissue segmentation. IEEE J. Biomed. Health Inform. 27(1), 75–86 (2023). https://doi.org/10.1109/JBHI.2022.3214999