Publications of Jia Guo

1. Jia Guo, Juliette Raffort, and Fabien Lareyre. Methodological Considerations Regarding Machine Learning Prognostic Models after EVAR. Annals of Vascular Surgery, 127:166-167, June 2026. [bibtex-entry]



2. Juliette Raffort, Jia Guo, and Fabien Lareyre. Deep Learning for Automatic Detection of Aortic Dissection on Non-contrast Computed Tomography. European Journal of Vascular and Endovascular Surgery, 2026. [bibtex-entry]



3. 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]



4. Jia Guo, Fabien Lareyre, Regent Lee, Martin Teraa, Hervé Delingette, and Juliette Raffort. Artificial Intelligence and Machine Learning for Risk Prediction of Abdominal Aortic Aneurysm Growth and Rupture. Angiology, October 2025. Keyword(s): rupture, prediction model, machine learning, artificial intelligence, aortic aneurysm, aneurysm growth. [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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