Global sensitivity analysis through causal discovery for an electromechanical cardiac model (2026), Under review, will soon be available on HAL.
The Python repository and code are available on GitLab.
S. Al-Ali, J. Rodriguez Padilla, M. Sermesant and I. Balelli
Inferring inflammation spread rates in inflammatory bowel diseases using traveling wave solutions (2026), submitted, available on HAL.
S. Al-Ali, Y. Bouhnik, J. Chaussard, S. Li-Thiao-Té, É. Ogier-Denis, A. Percy-du-sert, X. Treton and H. Zaag
Consensus Enhances Individual Causal Models: a Use Case on Lung Cancer Driven by Cellular Pathways (2026), accepted in CMSB 2026.
The associated Python repository is available on GitHub.
A. Lang, R. Henrique Ramos, S. Al-Ali, M. Reza Mousavi, A. Calissano and I. Balelli
Multi‐Channel Causal Variational Autoencoder, (2024), available in HAL.
The Python repository and code are available on GitLab.
S. Al-Ali and I. Balelli
Multi-Channel Causal Variational Autoencoder for multimodal biomedical causal disentanglement, Journal of Biomedical Informatics, 176:104995, 2026.
S. Al-Ali and I. Balelli
Cardiac electromechanical model sensitivity analysis using causal discovery, Functional Imaging and Modeling of the Heart. FIMH 2025. Lecture Notes in Computer Science, vol 15672. Springer, Cham. https://doi.org/10.1007/978-3-031-94559-5_31
S. Al-Ali, J. Rodriguez Padilla, M. Sermesant and I. Balelli
Causality: fundamental principles and tools, In The MICCAI Society book Series, Trustworthy AI in Medical Imaging, Academic Press, 2025, Pages 297-314, ISBN 9780443237614, https://doi.org/10.1016/B978-0-44-323761-4.00026-2
The associated Python notebook is available on GitLab.
I. Balelli, S. Al-Ali, E. Dumas, and J. Abecassis
Book link: Trustworthy AI in Medical Imaging
Assessing ionic current blockades and electromechanical biomarkers’ interrelations through a novel Multi‐Channel Causal Variational Autoencoder, Computing in Cardiology 2024; Vol 51, ISSN: 2325-887X DOI: 10.22489/CinC.2024.408
S. Al-Ali, M. Mora, M. Sermesant, B. Trenor and I. Balelli
YOUR-Lead: YOLO and U-Net for Reconstruction of ECG Lead Signals, Computing in Cardiology 2024; Vol 51, SSN: 2325-887X DOI: 10.22489/CinC.2024.372
R. Silva, Y. Yang, M. Morier, S. Al-Ali and M. Sermesant
Detection of ulcerative colitis lesions from weakly annotated colonoscopy videos using bounding boxes, Gastrointest. Disord. 2024, 6, 292‐307.
S. Al-Ali, J. Chaussard, S. Li‐Thiao‐Té, É. Ogier‐Denis, A. Percy-du-Sert, X. Treton and H. Zaag
A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug‐induced TdP Risk Assessment, 2023 Computing in Cardiology (CinC). Vol. 50. IEEE, 2023.
S. Al-Ali, J. Lorente, M. Mora, M. Sermesant, B. Trenor and I. Balelli
Automatic bleeding and ulcer detection from limited quality annotations in ulcerative colitis, Inflammatory Bowel Diseases, Volume 28, Issue Supplement_1, February 2022, Pages S19–S20.
S. Al-Ali, J. Chaussard, S. Li‐Thiao‐Té, É. Ogier‐Denis, A. Percy du Sert, X. Treton and H. Zaag
P015 Detection of endoscopic lesions from limited quality annotations in colonoscopy videos, Journal of Crohn’s and Colitis, Volume 16, Issue Supplement_1, January 2022, Pages i142‐i144.
S. Al-Ali, J. Chaussard, S. Li‐Thiao‐Té, É. Ogier‐Denis, A. Percy-du-Sert, X. Treton and H. Zaag
Mathematical modelling of chronic inflammatory bowel diseases. 2022 (Doctoral dissertation, Université Paris‐Nord‐Paris XIII) .
Referees: Aymeric Histace and Clair Poignard
Examinators: Carole Le Guyader and Éric Ogier-Denis
Jury members: Xavier Treton and John Chaussard
Modélisation des lésions de l'intestin dans les vidéos endoscopiques, Master Thesis, Université Paris‐Nord‐Paris XIII, 2018.
Supervisors: Sébastien Li-Thiao-Té and John Chaussard