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====== Applications of Belief Functions ====== | ====== Applications of Belief Functions ====== | ||
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+ | - 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, 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 and T. Denoeux. Covid-19 Classification with Deep Neural Network and Belief Functions. Fifth International Conference on Biological Information and Biomedical Engineering (BIBE 2021), July 20–22, 2021, Hangzhou, China. {{ : | ||
+ | - L. Huang, S. Ruan and T. Denoeux. Belief function-based semi-supervised learning for brain tumor segmentation. 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice, France, IEEE, 2021. {{ : | ||
+ | - C. Lian, S. Ruan, T. Denoeux, Y. Guo and P. Vera. Accurate segmentation in FDG-PET images with guidance of complementary CT images. 2017 IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, IEEE, 2017. {{: | ||
+ | - C. Lian, S. Ruan, T. Denoeux, H. Li and P. Vera. Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive | ||
+ | - C. Lian, S. Ruan, T. Denoeux, H. Li, and P. Vera, " | ||
- C. Lian, H. Li, T. Denoeux, P. Vera and S. Ruan, Dempster-Shafer Theory based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy, 18th International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI-2015), | - C. Lian, H. Li, T. Denoeux, P. Vera and S. Ruan, Dempster-Shafer Theory based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy, 18th International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI-2015), | ||
- C. Lian, S. Ruan, T. Denoeux and P. Vera. Outcome prediction in tumour therapy based on Dempster-Shafer Theory. | - C. Lian, S. Ruan, T. Denoeux and P. Vera. Outcome prediction in tumour therapy based on Dempster-Shafer Theory. | ||
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- A. Debiolles, L. Oukhellou, T. Denoeux and P. Aknin. Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track-vehicle transmission system. Proceedings of FUSION' | - A. Debiolles, L. Oukhellou, T. Denoeux and P. Aknin. Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track-vehicle transmission system. Proceedings of FUSION' | ||
- W. Schön, T. Denoeux. Prise en compte des incertitudes dans les évaluations de risque à l'aide des fonctions de croyance. Congrès Maîtrise des risques et Sûreté de Fonctionnement, | - W. Schön, T. Denoeux. Prise en compte des incertitudes dans les évaluations de risque à l'aide des fonctions de croyance. Congrès Maîtrise des risques et Sûreté de Fonctionnement, | ||
- | - S. Maquiné de Souza, T. Denoeux, Y. Grandvalet. Recycling experiments for sludge monitoring in waste water treatment plants. IEEE International Conference on Systems, Man and Cybernetics, | ||
- S. Démotier, W.Schön, T. Denoeux, K. Odeh. A new approach to assess risk in water treatment using the belief function framework. IEEE International Conference on Systems, Man and Cybernetics, | - S. Démotier, W.Schön, T. Denoeux, K. Odeh. A new approach to assess risk in water treatment using the belief function framework. IEEE International Conference on Systems, Man and Cybernetics, | ||
- S. Démotier, T. Denoeux and W. Schön. Risk assessment in drinking water production using belief functions. In T. D. Nielsen and N. L. Zhang, Eds, Proceedings of ECQSARU' | - S. Démotier, T. Denoeux and W. Schön. Risk assessment in drinking water production using belief functions. In T. D. Nielsen and N. L. Zhang, Eds, Proceedings of ECQSARU' | ||
- P. Vannoorenberghe et T. Denoeux. Diagnostic de la pollution atmosphérique par une approche RDF utilisant les fonctions de croyance. Colloque Automatique et Environnement A&E 2001, Saint-Etienne, | - P. Vannoorenberghe et T. Denoeux. Diagnostic de la pollution atmosphérique par une approche RDF utilisant les fonctions de croyance. Colloque Automatique et Environnement A&E 2001, Saint-Etienne, | ||
- | - F. Fotoohi et T. Denoeux. Outils de surveillance et de gestion de l'eau et de l' | ||
- | - N. Valentin et T. Denoeux. Modélisation du procédé de coagulation en traitement d'eau potable à l'aide de réseaux de neurones artificiels In Actes des 14èmes Journées Information Eaux, Tome 1, pages 23-(1-11), Poitiers, 13-15 septembre 2000. | ||
- W. Schön, K. Odeh, T. Denoeux and F. Fotoohi. Maîtrise des risques dans le domaine de l'eau potable. In Actes du 12e Colloque National de Sûreté de Fonctionnement, | - W. Schön, K. Odeh, T. Denoeux and F. Fotoohi. Maîtrise des risques dans le domaine de l'eau potable. In Actes du 12e Colloque National de Sûreté de Fonctionnement, | ||