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Books and Theses
- 2017
[b1]Paul Desbordes:
Méthode de sélection de caractéristiques pronostiques et prédictives basée sur les forêts aléatoires pour le suivi thérapeutique des lésions tumorales par imagerie fonctionnelle TEP. (Prognostic and predictive characteristics selection method based on random forests for therapeutic monitoring of tumor lesions using PET functional imaging). University of Rouen, France, 2017
Journal Articles
- 2019
- [j2]Sébastien Lugan
, Paul Desbordes, Eliott Brion, Luis Xavier Ramos Tormo, Axel Legay, Benoît Macq:
Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn). IEEE Access 7: 181789-181799 (2019) - 2017
- [j1]Paul Desbordes, Su Ruan, Romain Modzelewski, Vauclin Sébastien, Pierre Vera, Isabelle Gardin:
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier. Comput. Medical Imaging Graph. 60: 42-49 (2017)
Conference and Workshop Papers
- 2014
- [c1]Paul Desbordes, Caroline Petitjean, Su Ruan:
3D automated lymphoma segmentation in PET images based on cellular automata. IPTA 2014: 23-28
Informal and Other Publications
- 2020
- [i2]Paul Desbordes, Diksha, Benoît Macq:
Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer. CoRR abs/2012.12652 (2020) - 2019
- [i1]Sébastien Lugan, Paul Desbordes, Luis Xavier Ramos Tormo, Axel Legay, Benoît Macq:
Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn). CoRR abs/1906.07690 (2019)
Coauthor Index
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