Sébastien Thureau

According to our database, Sébastien Thureau authored at least 10 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios.

Dhruv Jain, Romain Modzelewski, Romain Hérault, Clément Chatelain, Eva Torfeh, Sébastien Thureau

CoRR, July, 2025

Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics.

Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Romain Modzelewski, Romain Hérault, Simon Bernard, Sébastien Thureau, Clément Chatelain

CoRR, June, 2025

Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution.

Zexin Ji, Beiji Zou, Xiaoyan Kui, Sébastien Thureau, Su Ruan

CoRR, April, 2025

2024

AutoPETIII: The Tracer Frontier. What Frontier?

Zacharia Mesbah, Léo Mottay, Romain Modzelewski, Pierre Decazes, Sébastien Hapdey, Su Ruan, Sébastien Thureau

CoRR, 2024

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

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

Deep Learning Based Radiomics to Predict Treatment Response Using Multi-datasets.

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

Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 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

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

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