Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy. - Thibaud Brochet; Jérôme Lapuyade-Lahorgue; Sébastien Bougleux; Mathieu Salaün; Su Ruan (IPTA, 2020)

Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy. - Thibaud Brochet; Jérôme Lapuyade-Lahorgue; Sébastien Bougleux; Mathieu Salaün; Su Ruan (CoRR, 2021)

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)

A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. - Thibaud Brochet; Jérôme Lapuyade-Lahorgue; Pierre Vera; Su Ruan (Entropy, 2022)

Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy. - Thibaud Brochet; Jérôme Lapuyade-Lahorgue; Hua Li 003; Pierre Vera; Pierre Decazes; Su Ruan (IPTA, 2023)

Neonatal Hypoxic Ischemic Encephalopathy Severity Grading Using Multimodal Swin Transformer. - Thibaud Brochet; Kangfu Han; Jiale Cheng; Fenqiang Zhao; Jérôme Lapuyade-Lahorgue; Su Ruan; Yi-Fang Tu; Sheng-Che Hung; Gang Li 001 (ISBI, 2024)