Style Data Augmentation for Robust Segmentation of Multi-modality Cardiac MRI. - Buntheng Ly; Hubert Cochet; Maxime Sermesant (STACOM@MICCAI, 2019)

Scar-Related Ventricular Arrhythmia Prediction from Imaging Using Explainable Deep Learning. - Buntheng Ly; Sonny Finsterbach; Marta Nuñez Garcia; Hubert Cochet; Maxime Sermesant (FIMH, 2021)

Interpretable Prediction of Post-Infarct Ventricular Arrhythmia Using Graph Convolutional Network. - Buntheng Ly; Sonny Finsterbach; Marta Nuñez Garcia; Pierre Jaïs; Damien Garreau; Hubert Cochet; Maxime Sermesant (STACOM@MICCAI, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Deep learning on large clinical databases for image-based predictions of cardiac arrhythmias. (Apprentissage profond sur de grandes bases de données cliniques pour la prédiction des arythmies cardiaques à partir de l'imagerie). - Buntheng Ly (2022)

Outcome Prediction. - Buntheng Ly; Mihaela Pop; Hubert Cochet; Nicolas Duchateau; Declan P. O'Regan; Maxime Sermesant (AI and Big Data in Cardiology, 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction. - Evariste Njomgue Fotso; Buntheng Ly; Hubert Cochet; Maxime Sermesant (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Can Interpretable Learning of Risk Explain Ventricular Arrhythmia Mechanism? - Buntheng Ly; Sonny Finsterbach; Marta Nuñez Garcia; Hubert Cochet; Maxime Sermesant (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Exploring Chemotherapy-Induced Cardiotoxicity Combining A 3D Computational Model and Preclinical Cardiac Imaging Data. - Javier Villar-Valero; Jesus Jairo Rodríguez Padilla; Buntheng Ly; Juan F. Gomez; Mihaela Pop; Beatriz Trénor; Maxime Sermesant (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Uncertainty-Informed Multimodal Infarct Age Prediction from Imaging and Clinical Data. - Evariste Njomgue Fotso; Marta Nuñez Garcia; Buntheng Ly; Hubert Cochet; Maxime Sermesant (FIMH (2), 2025)

Multimodal Personalisation of Cardiac Electrophysiology Models Combining 12-Lead ECG and Computed Tomography. - Buntheng Ly; Nicolas Cedilnik; Mihaela Pop; Josselin Duchateau; Frédéric Sacher; Pierre Jaïs; Hubert Cochet; Maxime Sermesant (FIMH (1), 2025)

In Silico Assessment of Arrhythmia Inducibility Dependence on Stimulus Location Using Calibrated MR-Based Infarcted Heart Models. - Jesus Jairo Rodríguez Padilla; Rafael Silva; Buntheng Ly; Graham A. Wright; Mihaela Pop; Maxime Sermesant (FIMH (1), 2025)