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--- en:publi:appli_art [2018/06/29 13:26] – tdenoeux
+++ en:publi:appli_art [2020/02/21 11:51] – tdenoeux
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 ====== Applications of belief functions ======
-  - L. Sui, P. Feissel and T. Denoeux. Identification of Elastic Properties in the Belief Function Framework. International Journal of Approximate Reasoning (accepted for publication), 2018. {{:en:publi:ijar_identification_final.pdf|pdf}}
+  - C. Lian, S. Ruan, T. Denoeux, H. Li and P. Vera. Joint Tumor Segmentation in PET-CT Images using Co-Clustering and Fusion based on Belief Functions. IEEE Transactions on Image Processing, vol. 28, Issue 2, pages 755-766, 2019. {{:en:publi:coseg-tip.pdf|pdf}}
+  - L. Sui, P. Feissel and T. Denoeux. Identification of Elastic Properties in the Belief Function Framework. International Journal of Approximate Reasoning, vol. 101, pages 69-87, 2018. {{:en:publi:ijar_identification_final.pdf|pdf}}
   - C. Lian, S. Ruan, T. Denoeux, H. Li and P. Vera. Spatial Evidential Clustering with Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Transactions on Biomedical Engineering, Volume 65, Issue 1, pages 21-30, 2018. {{:en:publi:ieee-tbme-final_version_sub.pdf|pdf}}
   - J.-B. Bordes, F. Davoine, Ph. Xu and T. Denoeux. Evidential Grammars: A Compositional Approach For Scene Understanding. Application To Multimodal Street Data. Applied Soft Computing, Volume 61, Pages 1173-1185, 2017. {{:en:publi:asoc_visual_grammars_vf.pdf|pdf}}

UMR CNRS 7253