Romain Modzelewski

According to our database, Romain Modzelewski authored at least 15 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning.

Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan

Comput. Medical Imaging Graph., June, 2023

Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.

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

CoRR, 2023

2022

Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction.

Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan

J. Imaging, 2022

Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436.

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

Entropy, 2022

Multi-task multi-scale learning for outcome prediction in 3D PET images.

Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan

Comput. Biol. Medicine, 2022

Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning.

Tongxue Zhou, Alexandra Noeuveglise, Fethi Ghazouani, Romain Modzelewski, Sébastien Thureau, Maxime Fontanilles, Su Ruan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020

Weakly Supervised PET Tumor Detection Using Class Response.

Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan

CoRR, 2020

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation.

Amine Amyar, Romain Modzelewski, Hua Li, Su Ruan

Comput. Biol. Medicine, 2020

RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images.

Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski

Proceedings of the ICBRA 2020: 7th International Conference on Bioinformatics Research and Applications, 2020

2017

Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier.

Paul Desbordes, Su Ruan, Romain Modzelewski, Vauclin Sébastien, Pierre Vera, Isabelle Gardin

Comput. Medical Imaging Graph., 2017

Spotting L3 slice in CT scans using deep convolutional network and transfer learning.

Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam, Sébastien Thureau, Mathieu Chastan, Romain Modzelewski

Comput. Biol. Medicine, 2017

2015

IODA: An input/output deep architecture for image labeling.

Julien Lerouge, Romain Hérault, Clément Chatelain, Fabrice Jardin, Romain Modzelewski

Pattern Recognit., 2015

2014

Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm.

D. P. Onoma, Su Ruan, Sébastien Thureau, Lamyaa Nkhali, Romain Modzelewski, G. A. Monnehan, Pierre Vera, Isabelle Gardin

Comput. Medical Imaging Graph., 2014

2012

3D random walk based segmentation for lung tumor delineation in PET imaging.

D. P. Onoma, Su Ruan, Isabelle Gardin, G. A. Monnehan, Romain Modzelewski, Pierre Vera

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2010

Brain perfusion heterogeneity measurement based on Random Walk algorithm: Choice and influence of inner parameters.

Romain Modzelewski, Elise Janvresse, Thierry de la Rue, Pierre Vera

Comput. Medical Imaging Graph., 2010