Publications of Sébastien Goffart

1. Amel Bakhouche, Olivier Creton, Fabien Lareyre, Sébastien Goffart, Irene Balelli, Hervé Delingette, and Juliette Raffort. Analysis of Clinical Improvement at 90 Days After Varicose Vein Surgery Using Machine Learning. Angiology, January 2026. [bibtex-entry]



2. Lisa Guzzi, Fabien Lareyre, Sébastien Goffart, Maria Zuluaga, Hervé Delingette, and Juliette Raffort. Anatomic Characterisation of the Vascular System of the Lower Limb using Artificial Intelligence Based Segmentation Models. European Journal of Vascular and Endovascular Surgery, February 2026. [bibtex-entry]



3. Andrea Chierici, Lisa Guzzi, Sebastien Goffart, Nizar Kamoun, Manuel Gargiulo, Patrick Chevallier, Antonio Iannelli, Rodolphe Anty, Hervé Delingette, Fabien Lareyre, and Juliette Raffort. Fully Automatic Artificial Intelligence Liver Anatomy Segmentation in the Management of Colorectal Liver Metastases. Cureus Journal of Medical Science, June 2025. Keyword(s): deep learning artificial intelligence, hepato-biliary-pancreatic surgery, nnu-net, oncological general surgery., colorectal cancer liver metastases. [bibtex-entry]



4. Andrea Chierici, Fabien Lareyre, Antonio Iannelli, Benjamin Salucki, Sébastien Goffart, Lisa Guzzi, Elise Poggi, Hervé Delingette, and Juliette Raffort. Applications of artificial intelligence in liver cancer: A scoping review. Artificial Intelligence in Medicine, 169:103244, November 2025. [bibtex-entry]



5. Sebastien Goffart, Hervé Delingette, Andrea Chierici, Lisa Guzzi, Bahaa Nasr, Fabien Lareyre, and Juliette Raffort. Artificial Intelligence Techniques for Prognostic and Diagnostic Assessments in Peripheral Artery Disease: A Scoping Review. Angiology, 2025. Keyword(s): Machine Learning, Peripheral Artery Disease (PAD), Artificial Intelligence (AI), Machine Learning (ML), Diagnosis, Prognosis. [bibtex-entry]



6. Sébastien Goffart, Odette Hart, Fabien Lareyre, Lisa Guzzi, Kak Khee Yeung, Hervé Delingette, Manar Khashram, and Juliette Raffort. Deep Learning Strategies for Predicting Amputation Free Survival in Patients with Peripheral Artery Disease. European Journal of Vascular and Endovascular Surgery, October 2025. Keyword(s): Survival models, Prognostic, Peripheral artery disease, Machine learning, Competing risk model. [bibtex-entry]



7. Jia Guo, Fabien Lareyre, Sébastien Goffart, Andrea Chierici, Hervé Delingette, and Juliette Raffort. Automatic Segmentation of Intraluminal Thrombus in Abdominal Aortic Aneurysms Based on CT Images: A Comprehensive Review of Deep Learning-Based Methods. Journal of Clinical Medicine, 14(23):8497, November 2025. Keyword(s): intraluminal thrombus, imaging segmentation, deep learning, abdominal aortic aneurysm, EVAR, CTA. [bibtex-entry]



8. Fabien Lareyre, Lisa Guzzi, Bahaa Nasr, Ahmed Alouane, Sébastien Goffart, Andréa Chierici, Hervé Delingette, and Juliette Raffort. Imaging Characterisation of Peripheral Artery Disease: A Scoping Review on Current Classifications and New Insights Brought by Artificial Intelligence. EJVES Vascular Forum, 64:87-95, 2025. Keyword(s): Artificial intelligence, Classification, Imaging, Machine learning, Peripheral artery disease. [bibtex-entry]



9. Sebastien Goffart, Andréa Chierici, Lisa Guzzi, Hervé Delingette, Ahmed Alouane, Fabien Lareyre, and Juliette Raffort. Artificial Intelligence to enhance future clinical trials in Vascular Surgery. Annals of Vascular Surgery, 111:331-335, November 2024. [bibtex-entry]

1. Lisa Guzzi, Maria A Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, and Hervé Delingette. Automatic Segmentation of Lower-Limb Arteries on CTA for Pre-surgical Planning of Peripheral Artery Disease. In MICCAI-AMAI2025 - 4th Workshop on Applications of Medical Artifical Intelligence, Daejeon, South Korea, September 2025. Keyword(s): Peripheral Artery Disease, Computed Tomography Angiography, Image Segmentation. [bibtex-entry]



2. Lisa Guzzi, Maria A Zuluaga, Riccardo Taiello, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, and Hervé Delingette. Regional Hausdorff Distance Losses for Medical Image Segmentation. In MLMI 2025 - 16th International Workshop on Machine Learning in Medical Imaging (In conjunction with MICCAI 2025), Daejeon, South Korea, September 2025. Keyword(s): Image Segmentation, Distance transforms, Hausdorff Distance. [bibtex-entry]



3. Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, and Hervé Delingette. Differentiable Soft Morphological Filters for Medical Image Segmentation. In Lecture notes in computer science, volume LNCS-15008 of Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024 27th International Conference, Marrakesh, Morocco, October 6--10, 2024, Proceedings, Part VIII, Marrakesh, Morocco, October 2024. Keyword(s): Image Segmentation, Morphological Operations, Deep Learning. [bibtex-entry]

1. Jia Guo, Fabien Lareyre, Sébastien Goffart, Martin Teraa, Regent Lee, Juliette Raffort, and Hervé Delingette. Automated segmentation of ruptured and non-ruptured abdominal aortic aneurysms based on active learning. Note: Working paper or preprint, March 2026. Keyword(s): Aorta, Abdominal aortic aneurysm, CTA, Segmentation, Deep learning, Active learning. [bibtex-entry]

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