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=== Medical image processing === | === Medical image processing === | ||
- | - Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen. PENet: Prior Evidence Deep Neural Network for Bladder Cancer Staging. Methods, 207:20–28, 2022. {{ : | + | |
+ | - Ling Huang, Su Ruan and Thierry Denoeux. Application of belief functions to medical image segmentation: | ||
+ | | ||
- Ling Huang, Su Ruan, Pierre Decazes and Thierry Denoeux. Lymphoma segmentation from 3D PET-CT images using a deep evidential network. International Journal of Approximate Reasoning, Volume 149, pages 39-60, 2022. {{ : | - Ling Huang, Su Ruan, Pierre Decazes and Thierry Denoeux. Lymphoma segmentation from 3D PET-CT images using a deep evidential network. International Journal of Approximate Reasoning, Volume 149, pages 39-60, 2022. {{ : | ||
- 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. {{: | - 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. {{: | ||
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- B. Lelandais, S. Ruan, T. Denoeux, P. Vera, I. Gardin. Fusion of multi-tracer PET images for Dose Painting. Medical Image Analysis, Volume 18, Issue 7, Pages 1247-1259, 2014. {{: | - B. Lelandais, S. Ruan, T. Denoeux, P. Vera, I. Gardin. Fusion of multi-tracer PET images for Dose Painting. Medical Image Analysis, Volume 18, Issue 7, Pages 1247-1259, 2014. {{: | ||
- | === Other applications | + | === Materials science |
+ | - Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Hiori Kino, Yasunobu Ando, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, and Hieu-Chi Dam. Evidence-based data mining method to reveal similarities between materials based on physical mechanisms. Journal of Applied Physics, 133(5): 053904, 2023. {{ : | ||
- Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denoeux, Van-Nam Huynh and Hieu-Chi Dam. Evidence-based recommender system for high-entropy alloys. Nature Computational Science, 2021. [[https:// | - Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denoeux, Van-Nam Huynh and Hieu-Chi Dam. Evidence-based recommender system for high-entropy alloys. Nature Computational Science, 2021. [[https:// | ||
- 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. {{: | ||
+ | |||
+ | === Intelligent vehicles === | ||
- 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. {{: | - 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. {{: | ||
- Ph. Xu, F. Davoine, J.-B. Bordes, H. Zhao and Th. Denoeux. Multimodal Information Fusion for Urban Scene Understanding. Machine Vision and Applications, | - Ph. Xu, F. Davoine, J.-B. Bordes, H. Zhao and Th. Denoeux. Multimodal Information Fusion for Urban Scene Understanding. Machine Vision and Applications, | ||
- Ph. Xu, F. Davoine, J.-B. Bordes, T. Denoeux. Fusion d' | - Ph. Xu, F. Davoine, J.-B. Bordes, T. Denoeux. Fusion d' | ||
- | - Z. L. Cherfi, L. Oukhellou, E. Côme, | ||
- F. Abdallah, G. Nassreddine and T. Denoeux. A multiple-hypotheses map matching method suitable for weighted and box-shaped state estimation for localization. IEEE Transactions on Intelligent Transportation Systems, Vol. 12, Issue 4, pages 1495-1510, 2011. {{en: | - F. Abdallah, G. Nassreddine and T. Denoeux. A multiple-hypotheses map matching method suitable for weighted and box-shaped state estimation for localization. IEEE Transactions on Intelligent Transportation Systems, Vol. 12, Issue 4, pages 1495-1510, 2011. {{en: | ||
+ | |||
+ | === Fault diagnosis and reliability === | ||
+ | - Z. L. Cherfi, L. Oukhellou, E. Côme, | ||
- L. Oukhellou, A. Debiolles, T. Denoeux and P. Aknin. Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Engineering Applications of Artificial Intelligence, | - L. Oukhellou, A. Debiolles, T. Denoeux and P. Aknin. Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Engineering Applications of Artificial Intelligence, | ||
- K. Worden, G. Manson, T. Denoeux. An evidence-based approach to damage location on an aircraft structure. Mechanical Systems and Signal Processing, Vol. 23, Issue 6, pages 1792-1804, 2009. {{en: | - K. Worden, G. Manson, T. Denoeux. An evidence-based approach to damage location on an aircraft structure. Mechanical Systems and Signal Processing, Vol. 23, Issue 6, pages 1792-1804, 2009. {{en: | ||
+ | - - S. Démotier, W. Schön and T. Denoeux. Risk Assessment Based on Weak Information using Belief Functions: A Case Study in Water Treatment, IEEE Transactions on Systems, Man and Cybernetics C, , Vol. 36, Issue 3, 382-396, 2006. {{en: | ||
+ | |||
+ | === Other applications === | ||
- D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Decision fusion for postal address recognition using belief functions. Expert Systems with Applications, | - D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Decision fusion for postal address recognition using belief functions. Expert Systems with Applications, | ||
- D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables. Traitement du Signal, Vol. 24, Issue 2, pages 133-151, 2007. {{en: | - D. Mercier, G. Cron, T. Denoeux and M.-H. Masson. Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables. Traitement du Signal, Vol. 24, Issue 2, pages 133-151, 2007. {{en: | ||
- | - S. Démotier, W. Schön and T. Denoeux. Risk Assessment Based on Weak Information using Belief Functions: A Case Study in Water Treatment, IEEE Transactions on Systems, Man and Cybernetics C, , Vol. 36, Issue 3, 382-396, 2006. {{en: | + |