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)

Spotting L3 slice in CT scans using deep convolutional network and transfer learning. - Soufiane Belharbi; Clément Chatelain 001; Romain Hérault; Sébastien Adam; Sébastien Thureau; Mathieu Chastan; Romain Modzelewski (Comput. Biol. Medicine, 2017)

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 (ICPR, 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 (MICAD, 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)

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., 2023)

AutoPETIII: The Tracer Frontier. What Frontier? - Zacharia Mesbah; Léo Mottay; Romain Modzelewski; Pierre Decazes; Sébastien Hapdey; Su Ruan; Sébastien Thureau (CoRR, 2024)

Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Sébastien Thureau; Su Ruan (CoRR, 2025)

Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics. - Zacharia Mesbah; Dhruv Jain; Tsiry Mayet; Romain Modzelewski; Romain Hérault; Simon Bernard 001; Sébastien Thureau; Clément Chatelain 001 (CoRR, 2025)

Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios. - Dhruv Jain; Romain Modzelewski; Romain Hérault; Clément Chatelain 001; Eva Torfeh; Sébastien Thureau (CoRR, 2025)