Romain Modzelewski

24 papers B 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios. CoRR Dhruv Jain, Romain Modzelewski, Romain Hérault, Clément Chatelain, Eva Torfeh, Sébastien Thureau
2025	J	`jnl`	Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression. CoRR Aghiles Kebaili, Romain Modzelewski, Jérôme Lapuyade-Lahorgue, Maxime Fontanilles, Sébastien Thureau, Su Ruan
2025	—	`conf`	One-Class SVM-guided Negative Sampling for Enhanced Contrastive Learning. NLDL Dhruv Jain, Tsiry Mayet, Romain Hérault, Romain Modzelewski
2025	J	`jnl`	Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics. CoRR Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Romain Modzelewski, Romain Hérault, Simon Bernard, Sébastien Thureau, Clément Chatelain
2024	J	`jnl`	AutoPETIII: The Tracer Frontier. What Frontier? CoRR Zacharia Mesbah, Léo Mottay, Romain Modzelewski, Pierre Decazes, Sébastien Hapdey, Su Ruan, Sébastien Thureau
2023	J	`jnl`	Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR 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
2023	J	`jnl`	Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. Comput. Medical Imaging Graph. Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2023	J	`jnl`	Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. CoRR Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2022	J	`jnl`	Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. Entropy 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
2022	—	`conf`	Deep Learning Based Radiomics to Predict Treatment Response Using Multi-datasets. MICAD 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
2022	J	`jnl`	Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images. CoRR Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2022	J	`jnl`	Multi-task multi-scale learning for outcome prediction in 3D PET images. Comput. Biol. Medicine Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2022	B	`conf`	Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning. ICPR Tongxue Zhou, Alexandra Noeuveglise, Fethi Ghazouani, Romain Modzelewski, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2022	J	`jnl`	Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction. J. Imaging Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2020	J	`jnl`	Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation. Comput. Biol. Medicine Amine Amyar, Romain Modzelewski, Hua Li, Su Ruan
2020	—	`conf`	RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images. ICBRA Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
2020	J	`jnl`	RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images. CoRR Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
2020	J	`jnl`	Weakly Supervised PET Tumor Detection Using Class Response. CoRR Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2017	J	`jnl`	Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier. Comput. Medical Imaging Graph. Paul Desbordes, Su Ruan, Romain Modzelewski, Vauclin Sébastien, Pierre Vera, Isabelle Gardin
2017	J	`jnl`	Spotting L3 slice in CT scans using deep convolutional network and transfer learning. Comput. Biol. Medicine Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam, Sébastien Thureau, Mathieu Chastan, Romain Modzelewski
2015	J	`jnl`	IODA: An input/output deep architecture for image labeling. Pattern Recognit. Julien Lerouge, Romain Hérault, Clément Chatelain, Fabrice Jardin, Romain Modzelewski
2014	J	`jnl`	Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Comput. Medical Imaging Graph. D. P. Onoma, Su Ruan, Sébastien Thureau, Lamyaa Nkhali, Romain Modzelewski, G. A. Monnehan, Pierre Vera, Isabelle Gardin
2012	—	`conf`	3D random walk based segmentation for lung tumor delineation in PET imaging. ISBI D. P. Onoma, Su Ruan, Isabelle Gardin, G. A. Monnehan, Romain Modzelewski, Pierre Vera
2010	J	`jnl`	Brain perfusion heterogeneity measurement based on Random Walk algorithm: Choice and influence of inner parameters. Comput. Medical Imaging Graph. Romain Modzelewski, Elise Janvresse, Thierry de la Rue, Pierre Vera