Publications of Lisa Guzzi

1. Lisa Guzzi. Automatic segmentation of the vascular system to enhance AI-based decision support system for peripheral artery disease. Theses, Université Côte d'Azur, December 2025. Keyword(s): Stents, Medical image segmentation, Computed tomography angiography, Peripheral artery disease, Deep learning, Lower limb arteries, Calcifications, Stents, Calcifications, Artères des membres inférieurs, Apprentissage profond, Artériopathie oblitérante des membres inférieurs, Angiographie par tomodensitométrie, Segmentation d'images médicales. [bibtex-entry]

1. 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]



2. 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]



3. 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]



4. 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]



5. 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]



6. 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]



7. 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]



8. Fabien Lareyre, Kak Khee Yeung, Lisa Guzzi, Gilles Di Lorenzo, Arindam Chaudhuri, Christian-Alexander Behrendt, Konstantinos Spanos, and Juliette Raffort. Artificial intelligence in vascular surgical decision making. Seminars in Vascular Surgery, 36(3):448-453, September 2023. Keyword(s): Precision medicine, Decision making, Vascular disease, Machine learning, Artificial intelligence, Precision medicine. [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. Lisa Guzzi, Maria Zuluaga A, Fabien Lareyre, Gilles Di Lorenzo, Juliette Raffort, and Hervé Delingette. SoftMorph: Differentiable Probabilistic Morphological Operators for Image Analysis. Technical report, Techrxiv, October 2024. [bibtex-entry]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.

This document was translated from BibT_EX by bibtex2html