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2020 – today
- 2023
[j10]Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan:
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. Comput. Medical Imaging Graph. 106: 102218 (2023)- [i5]Francesco Cremonesi
, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi:
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR abs/2304.12012 (2023) - [i4]Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan:
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. CoRR abs/2304.13725 (2023) - 2022
- [j9]Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan:
Multi-task multi-scale learning for outcome prediction in 3D PET images. Comput. Biol. Medicine 151(Part): 106208 (2022) - [j8]Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan:
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. Entropy 24(5): 685 (2022) - [j7]Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan:
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction. J. Imaging 8(5): 130 (2022) - [c3]Tongxue Zhou, Alexandra Noeuveglise, Fethi Ghazouani, Romain Modzelewski, Sébastien Thureau, Maxime Fontanilles, Su Ruan:
Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning. ICPR 2022: 4414-4419 - [i3]Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan:
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images. CoRR abs/2203.00641 (2022) - 2020
- [j6]Amine Amyar, Romain Modzelewski, Hua Li, Su Ruan:
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation. Comput. Biol. Medicine 126: 104037 (2020) - [c2]Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski:
RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images. ICBRA 2020: 28-33 - [i2]Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan:
Weakly Supervised PET Tumor Detection Using Class Response. CoRR abs/2003.08337 (2020) - [i1]Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski:
RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images. CoRR abs/2003.08663 (2020)
2010 – 2019
- 2017
- [j5]Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam, Sébastien Thureau, Mathieu Chastan, Romain Modzelewski:
Spotting L3 slice in CT scans using deep convolutional network and transfer learning. Comput. Biol. Medicine 87: 95-103 (2017) - [j4]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) - 2015
- [j3]Julien Lerouge, Romain Hérault, Clément Chatelain, Fabrice Jardin, Romain Modzelewski:
IODA: An input/output deep architecture for image labeling. Pattern Recognit. 48(9): 2847-2858 (2015) - 2014
- [j2]D. P. Onoma, Su Ruan, Sébastien Thureau, Lamyaa Nkhali, Romain Modzelewski, G. A. Monnehan, Pierre Vera, Isabelle Gardin:
Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Comput. Medical Imaging Graph. 38(8): 753-763 (2014) - 2012
- [c1]D. P. Onoma, Su Ruan, Isabelle Gardin, G. A. Monnehan, Romain Modzelewski, Pierre Vera:
3D random walk based segmentation for lung tumor delineation in PET imaging. ISBI 2012: 1260-1263 - 2010
- [j1]Romain Modzelewski, Elise Janvresse, Thierry de la Rue, Pierre Vera:
Brain perfusion heterogeneity measurement based on Random Walk algorithm: Choice and influence of inner parameters. Comput. Medical Imaging Graph. 34(4): 289-297 (2010)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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