Sébastien Thureau

13 papers B 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Global and local Mamba network for multi-modality medical image super-resolution. Pattern Recognit. Zexin Ji, Beiji Zou, Xiaoyan Kui, Sébastien Thureau, Su Ruan
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`	Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution. CoRR Zexin Ji, Beiji Zou, Xiaoyan Kui, Sébastien Thureau, Su Ruan
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	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`	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	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
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
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