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en:publi:other_conf [2022/11/01 11:11] tdenoeuxen:publi:other_conf [2022/11/26 07:16] (current) tdenoeux
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 ====== Applications of Belief Functions ====== ====== Applications of Belief Functions ======
  
-   H. FuXYueW. Liu and T. Denoeux"Stable Clustering Ensemble Based on Evidence Theory,2022 IEEE International Conference on Image Processing (ICIP)2022, pp2046-2050doi: 10.1109/ICIP46576.2022.9897984. {{ :en:publi:sceevt-final.pdf |pdf}}+   HuangL., Denoeux, T., VeraP., 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. (edsMedical Image Computing and Computer Assisted Intervention – MICCAI 2022. Lecture Notes in Computer Sciencevol 13435SpringerCham. https://doi.org/10.1007/978-3-031-16443-9_39. {{ :en:publi:miccai2022_camera_ready_linghuang.pdf |pdf}}
    - 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. {{ :en:publi:bibm-final.pdf |pdf}}    - 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. {{ :en:publi:bibm-final.pdf |pdf}}
    - 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", Cham, pages 30-39, 2021. {{ :en:publi:huang2021_chapter_deeppetctfusionwithdempster-sh.pdf |pdf}}    - 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", Cham, pages 30-39, 2021. {{ :en:publi:huang2021_chapter_deeppetctfusionwithdempster-sh.pdf |pdf}}

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