Publications of year 2025

1. Marco Lorenzi and Maria A. Zuluaga. Trustworthy AI in Medical Imaging. Elsevier, 2025. [bibtex-entry]

1. Sébastien Frey, Federica Facente, Wen Wei, Ezem Sura Ekmekci, Eric Séjor, Patrick Baqué, Matthieu Durand, Hervé Delingette, Francois Bremond, Pierre Berthet-Rayne, and Nicholas Ayache. Optimizing Intraoperative AI: Evaluation of YOLOv8 for Real-Time Recognition of Robotic and Laparoscopic Instruments. Journal of Robotic Surgery, 19(131), March 2025. Keyword(s): Computer-Assisted Surgery, Computer vision, Surgical instrument detection, Instrument segmentation, Robotic surgery, YoloV8. [bibtex-entry]



2. 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]



3. Sébastien Molière, Dimitri Hamzaoui, Guillaume Ploussard, Romain Mathieu, Gaëlle Fiard, Michael Baboudjian, benjamin granger, Morgan Roupret, Hervé Delingette, and Raphaële Renard-Penna. A Systematic Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic Detection, Localization, and Characterization of Clinically Significant Prostate Cancer on Magnetic Resonance Imaging. European Urology Oncology, 2025. Keyword(s): Artificial intelligence, Deep learning, Diagnostic accuracy, Magnetic resonance imaging, Prostate cancer, Systematic review. [bibtex-entry]



4. Wilhelm Wimmer and Hervé Delingette. Second order kinematic surface fitting in anatomical structures. Medical Image Analysis, pp 103488, February 2025. Keyword(s): Stationary velocity field, Symmetry, Core line detection, Cochlea, Shape classification. [bibtex-entry]

1. Huiyu Li, Nicholas Ayache, and Hervé Delingette. Generative medical image anonymization based on latent code projection and optimization. In IEEE Xplore, Houston (Texas), United States, April 2025. Keyword(s): Medical image anonymization, Identity utility trade-off, Latent code optimization. [bibtex-entry]



2. Riccardo Taiello, Clémentine Gritti, Melek Önen, and Marco Lorenzi. Buffalo: A Practical Secure Aggregation Protocol for Buffered Asynchronous Federated Learning. In CODASPY 2025, 15th ACM Conference on Data and Application Security and Privacy, Pittsburgh, United States, June 2025. ACM. Keyword(s): Secure Aggregation, Asynchronous Federated Learning. [bibtex-entry]

1. Yanis Aeschlimann, Anna Calissano, Théodore Papadopoulo, and Samuel Deslauriers-Gauthier. Brain network alignment using structural and functional connectivity with anatomical constraints. Note: Working paper or preprint, January 2025. Keyword(s): Structural connectivity, Functional connectivity, cortical atlas, graph alignment, inter-subject variability. [bibtex-entry]



2. Francesco Cremonesi, Lucie Chambon, Nelson Mokkadem, Huyen Thi Trang Nguyen, Oliver Humbert, and Marco Lorenzi. Knowledge-based semantic enrichment of medical imaging data for automatic phenotyping and pattern discovery in metastatic lung cancer. Note: Working paper or preprint, February 2025. [bibtex-entry]



3. Francesco Cremonesi, Lucia Innocenti, Sebastien Ourselin, Vicky Goh, Michela Antonelli, and Marco Lorenzi. A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications. Note: Working paper or preprint, January 2025. Keyword(s): Collaborative learning, healthcare, sustainable AI, trustworthy AI, federated learning consensus-based learning, medical imaging. [bibtex-entry]

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