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====== Applications of Belief Functions ====== | ====== Applications of Belief Functions ====== | ||
+ | - Huang, L., Denoeux, T., Vera, P., Ruan, S. (2022). Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Lecture Notes in Computer Science, vol 13435. Springer, Cham. https:// | ||
+ | - Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, and Yufei Chen. Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2021), 2021. {{ : | ||
- L. Huang, T. Denoeux, D. Tonnelet, P. Decazes and S. Ruan. Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. In C. Lian et al. (Eds), Machine Learning in Medical Imaging, Springer International Publishing", | - L. Huang, T. Denoeux, D. Tonnelet, P. Decazes and S. Ruan. Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. In C. Lian et al. (Eds), Machine Learning in Medical Imaging, Springer International Publishing", | ||
- L. Huang, S. Ruan, P. Decazes and T. Denoeux. Evidential Segmentation of 3D PET/CT Images. In T. Denoeux, E. Lefèvre, Zh. Liu and F. Pichon (Eds), Belief Functions: Theory and Applications, | - L. Huang, S. Ruan, P. Decazes and T. Denoeux. Evidential Segmentation of 3D PET/CT Images. In T. Denoeux, E. Lefèvre, Zh. Liu and F. Pichon (Eds), Belief Functions: Theory and Applications, |