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, YoloV8, Robotic surgery, Instrument segmentation, Surgical instrument detection, Computer vision. [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): Systematic review, Prostate cancer, Magnetic resonance imaging, Diagnostic accuracy, Deep learning, Artificial intelligence. [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]



5. Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Riccardo Taiello, Santiago Silva, Samy-Safwan Ayed, Melek Önen, Fanny Orlhac, Christophe Nioche, Bastien Houis, Romain Modzelewski, Nathan Lapel, Renaud Schiappa, Olivier Humbert, and Marco Lorenzi. Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. In Federated Learning Systems, volume 832 of Studies in Computational Intelligence, pages 19-41. Springer Nature Switzerland, April 2025. Keyword(s): Machine learning, Biomedical Application, Healthcare, Federated Learning Framework. [bibtex-entry]

1. Safaa Al-Ali, Jairo Rodrìguez-Padilla, Maxime Sermesant, and Irene Balelli. Cardiac Electromechanical Model Sensitivity Analysis using Causal Discovery. In Lecture notes in computer science, number LNCS-15672 of Functional Imaging and Modeling of the Heart. FIMH 2025 : part 1, Dallas, United States, June 2025. Radomìr Chabiniok. Keyword(s): Sensitivity analysis, Causal discovery, Electromechanical properties, Heart modeling. [bibtex-entry]



2. Olivier Bisson, Yanis Aeschlimann, Samuel Deslauriers-Gauthier, and Xavier Pennec. Log-Euclidean Frameworks for Smooth Brain Connectivity Trajectories. In GSI'25 - International Conference on Geometric Science of Information, Saint-Malo (France), France, October 2025. Keyword(s): Log-Euclidean polynomial regression, Riemannian geometry, Correlation matrices. [bibtex-entry]



3. Federica Facente, Benjamin Billot, Vivek Gopalakrishnan, Manasi Kattel, Wen Wei, Polina Golland, Hervé Delingette, Nicholas Ayache, and Pierre Berthet-Rayne. Multi-stage CNN for fast registration of 3D preoperative CTs to 2D intraoperative X-rays. In MICCAI 2025 - COLlaborative Intelligence and Autonomy in Image-guided Surgery (COLAS), Daejon, South Korea, September 2025. Keyword(s): Multi-stage CNN, Pose estimation. [bibtex-entry]



4. Camilla Ferrario, Jairo Rodrìguez-Padilla, Maelys Venet, Olivier Villemain, and Maxime Sermesant. Myocardial Stiffness Quantification using Ultrasound Shear Wave Elastography and Reduced Modeling for Subject-specific Simulations. In Lecture Notes in Computer Science, volume 15673 of Functional Imaging and Modeling of the Heart. FIMH 2025, Dallas (TX), United States, pages 41-54, June 2025. Keyword(s): patient-specific analyses, myocardial stiffness, ultrafast ultrasound imaging, reduced-order models, Cardiac mechanics. [bibtex-entry]



5. Evariste Njomgue Fotso, Marta Nuñez-Garcia, Buntheng Ly, Hubert Cochet, and Maxime Sermesant. Uncertainty-Informed Multimodal Infarct Age Prediction from Imaging and Clinical Data. In Radomìr Chabiniok, Qing Zou, Tarique Hussain, Hoang H. Nguyen, Vlad G. Zaha, and Maria Gusseva, editors, Lecture Notes in Computer Science, number LNCS-15673 of Functional Imaging and Modeling of the Heart. FIMH 2025, Dallas (TX), United States, June 2025. Radomir Chabiniok and Maria Gusseva and Tarique Hussain and Hoang Nguyen and Vlad Zaha and Qing Zou. Keyword(s): Calcification, Intramyocardial fat, Medical imaging, Infarct age regression, Multimodal deep learning, Myocardial thickness. [bibtex-entry]



6. 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]



7. 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]



8. Manasi Kattel, Benjamin Billot, Federica Facente, Hervé Delingette, and Nicholas Ayache. Robust rigid MRI-TRUS registration in prostate cancer using attention-CNN and ICP. In 6th International Workshop of Advances in Simplifying Medical UltraSound (ASMUS), Daejeon, South Korea, September 2025. Keyword(s): MRI-TRUS rigid registration learning-based regression ICP, MRI-TRUS rigid registration, learning-based regression, ICP. [bibtex-entry]



9. 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]



10. Buntheng Ly, Nicolas Cedilnik, Mihaela Pop, Josselin Duchateau, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Multimodal Personalisation of Cardiac Electrophysiology Models combining 12-lead ECG and Computed Tomography. In Radomìr Chabiniok, Qing Zou, Tarique Hussain, Hoang H. Nguyen, Vlad G. Zaha, and Maria Gusseva, editors, Lecture Notes in Computer Science, number LNCS-15672 of Functional Imaging and Modeling of the Heart. FIMH 2025, Dallas (TX), United States, June 2025. Radomir Chabiniok and Maria Gusseva and Tarique Hussain and Hoang Nguyen and Vlad Zaha and Qing Zou. Keyword(s): Model Personalisation, Computed Tomography, ECG, Myocardial Infarction, Computational Modelling. [bibtex-entry]



11. Maëlis Morier, Jairo Rodrìguez-Padilla, Maxime Sermesant, and Patrick Gallinari. Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-driven Personalised Predictions. In FIMH 2025 - 13th Functional Imaging and Modeling of the Heart International Conference, volume 15672 (Part I) and 15673 (Part II), Dallas (TX), United States, pages LNCS 15672 and LNCS 15673, June 2025. Radomìr Chabiniok. Keyword(s): Graph Neural Network, Data-Driven Modeling, Personalized Cardiac Electrophysiology. [bibtex-entry]



12. Jairo Rodrìguez Padilla, Rafael Silva, Buntheng Ly, Graham Wright, Mihaela Pop, and Maxime Sermesant. In silico Assessment of Arrhythmia Inducibility Dependence on Stimulus Location using Calibrated MR-based Infarcted Heart Models. In Lecture Notes in Computer Science, number LNCS-15672 of Functional Imaging and Modeling of the Heart. FIMH 2025, Dallas, United States, June 2025. Keyword(s): Personalization, Finite Element, Simulations, Modeling, Electrophysiology. [bibtex-entry]



13. Rafael Silva, Caroline Stehlé, Guillaume Pétriat, Pierre-Henri Cadet, Thierry Tibi, and Maxime Sermesant. Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints. In Lecture notes in computer science, number LNCS-15672 of Functional Imaging and Modeling of the Heart : part 1, Dallas (TX), United States, June 2025. Keyword(s): Embedded Systems, ECG Classification, Automated Cardiac Defibrillation. [bibtex-entry]



14. Tom Szwagier, Guillaume Olikier, and Xavier Pennec. Eigengap Sparsity for Covariance Parsimony. In Proc. of the 7th International Conference on Geometric Science of Information - GSI'25, Lecture Notes in Computer Science, Saint-Malo (35400), France, October 2025. Keyword(s): Isotonic regression, Monotone cone, Flag manifolds, Eigengaps, Parsimony, Covariance estimation. [bibtex-entry]



15. 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, pages 1-12, June 2025. ACM, ACM. Keyword(s): Asynchronous Federated Learning, Secure Aggregation. [bibtex-entry]



16. Elie Thellier, Huiyu Li, Nicholas Ayache, and Hervé Delingette. Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning. In Lecture notes in computer science, Daejeon, South Korea, September 2025. Keyword(s): Data Lake Security, Data Exfiltration Mitigation, Medical Images. [bibtex-entry]

1. Rafael Silva, Caroline Stehlé, Maxime Sermesant, Guillaume Pétriat, Pierre-Henri Cadet, and Thierry Tibi. Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints. FIMH 2025 - 13th International Conference on Functional Imaging and Modeling of the Heart, June 2025. Note: Poster. [bibtex-entry]



2. 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]



3. Olivier Bisson and Xavier Pennec. Log-Euclidean Lie Groups. Note: Working paper or preprint, August 2025. Keyword(s): Log-Euclidean Lie groups, Geometric Statistics, SPD Matrices, Correlation Matrices. [bibtex-entry]



4. 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]



5. 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]



6. Elodie Maignant, Xavier Pennec, Alain Trouvé, and Anna Calissano. Barycentric subspace analysis of network-valued data. Note: Working paper or preprint, July 2025. Keyword(s): Network-valued data, Dimensionality reduction, Riemannian manifolds. [bibtex-entry]



7. Guillaume Olikier, Petar Mlinaric, P. -A. Absil, and André Uschmajew. The tangent cone to the real determinantal variety: various expressions and a proof. Note: Working paper or preprint, June 2025. Keyword(s): determinantal variety, tangent cone, low-rank matrices. [bibtex-entry]



8. Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron, and Xavier Pennec. Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles. Note: Working paper or preprint, July 2025. Keyword(s): Gaussian Mixture Models, Parsimonious Models, Eigenvalues, EM Algorithm, Model Selection. [bibtex-entry]



9. Tom Szwagier and Xavier Pennec. Nested Subspace Learning with Flags. Note: Working paper or preprint, April 2025. Keyword(s): subspace learning, Grassmann manifolds, flag manifolds, nested subspaces, dimensionality reduction. [bibtex-entry]

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