This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revision | Next revisionBoth sides next revision | ||
en:publi:appli_art [2018/10/12 08:44] – tdenoeux | en:publi:appli_art [2020/02/21 11:51] – tdenoeux | ||
---|---|---|---|
Line 1: | Line 1: | ||
====== Applications of belief functions ====== | ====== Applications of belief functions ====== | ||
- | - 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. 2, Issue 2, pages 755-766, 2019. {{: | + | - 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. {{: |
- 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. {{: | - 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. {{: | ||
- 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, | - 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, |