Publications of year 2024

1. Marco Lorenzi and Maria A. Zuluaga. Trustworthy AI in medical imaging. Academic Press, November 2024. [bibtex-entry]

1. Josquin Harrison. Medical imaging, shapes and statistics for stroke prediction in atrial fibrillation. Theses, Université Côte d'Azur, June 2024. Keyword(s): Shape statistics, Cerebrovascular accident, Machine learning, Medical imaging, Atrial fibrillation, Statistiques de formes, Accident vasculaire cérébral, Apprentissage, Imagerie medicale, Fibrillation atriale. [bibtex-entry]



2. Hari Sreedhar. Thyrosonics: Learning-based detection and classification of thyroid nodules from ultrasound images. Theses, Université Côte D'Azur, October 2024. Keyword(s): Ultrasound, Thyroid Cancer, Artificial Inteligence, Échographie, Cancer de la thyroïde, Intelligence Articifielle. [bibtex-entry]



3. Riccardo Taiello. Privacy-preserving machine learning for large-scale collaborative healthcare data analysis. Theses, Université Côte d'Azur, September 2024. Keyword(s): Security and privacy, Privacy enhancing technologies, Federate learning, Sécurité et confidentialité, Technologies de renforcement de la confidentialité, Apprentissage fédéré. [bibtex-entry]

1. Safaa Al-Ali, John Chaussard, Sébastien Li-Thiao-Té, Éric Ogier-Denis, Alice Percy-Du-Sert, Xavier Treton, and Hatem Zaag. Detection of ulcerative colitis lesions from weakly annotated colonoscopy videos using bounding boxes. Gastrointestinal Disorders, 6(1):292-307, March 2024. [bibtex-entry]



2. Olivier Bisson and Xavier Pennec. Differential of the Stretch Tensor for Any Dimension with Applications to Quotient Geodesics. Comptes Rendus. Mathématique, 362(G12):1847-1856, November 2024. Keyword(s): Polar Decomposition, Stretch Tensor, Quotient Geodesics. [bibtex-entry]



3. Anna Calissano, Théodore Papadopoulo, Xavier Pennec, and Samuel Deslauriers-Gauthier. Graph Alignment Exploiting the Spatial Organization Improves the Similarity of Brain Networks. Human Brain Mapping, 45(1):e26554, January 2024. [bibtex-entry]



4. Andrea Chierici, Fabien Lareyre, Benjamin Salucki, Antonio Iannelli, Hervé Delingette, and Juliette Raffort. Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence. Journal of International Medical Research, 52(9), September 2024. Keyword(s): deep learning, deep learning, Vessel segmentation, liver, artificial intelligence, active contour, tracking, machine learning. [bibtex-entry]



5. Yann Fraboni, Martin van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, and Marco Lorenzi. Privacy preserving image registration. Medical Image Analysis, 94, May 2024. Keyword(s): Optimization, Federated learning, Machine unlearning. [bibtex-entry]



6. 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]



7. Etrit Haxholli and Marco Lorenzi. On Tail Decay Rate Estimation of Loss Function Distributions. Journal of Machine Learning Research, 25(25):1-47, February 2024. Keyword(s): Extreme Value Theory, Tail Modelling, Loss Function Distributions, Peaks-Over-Threshold, Cross-Tail-Estimation, Model Ranking. [bibtex-entry]



8. Justine Labory, Evariste Njomgue-Fotso, and Silvia Bottini. Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data. Computational and Structural Biotechnology Journal, 23(1):1274-1287, December 2024. [bibtex-entry]



9. Sébastien Molière, Dimitri Hamzaoui, Guillaume Ploussard, R 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, 2024. Keyword(s): Artificial intelligence, Deep learning, Diagnostic accuracy, Magnetic resonance imaging, Prostate cancer, Systematic review. [bibtex-entry]



10. Yann Thanwerdas. Permutation-invariant log-Euclidean geometries on full-rank correlation matrices. SIAM Journal on Matrix Analysis and Applications, 45(2):930-953, April 2024. Keyword(s): SPD matrices, elliptope, correlation matrices, log-Euclidean metric, permutationinvariant, cor-inversion, off-log metric, log-scaled metric, quotient-affine metric AMS subject classifications.. [bibtex-entry]



11. Paul Tourniaire, Marius Ilie, Julien Mazières, Anna Vigier, François Ghiringhelli, Nicolas Piton, Jean-Christophe Sabourin, Frédéric Bibeau, Paul Hofman, Nicholas Ayache, and Hervé Delingette. WhARIO: whole-slide-image-based survival analysis for patients treated with immunotherapy. Journal of Medical Imaging, 11(03), May 2024. Keyword(s): Lung cancer LC, Whole slide image classification. [bibtex-entry]



12. Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Hervé Delingette, and Ona Wu. Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation. IEEE Transactions on Medical Imaging, 43(8):2825-2838, March 2024. Keyword(s): Zero-shot learning, cross-modality translation, diffusion model, mutual information. [bibtex-entry]



13. Yingyu Yang, Marie Rocher, Pamela Moceri, and Maxime Sermesant. Echocardiography Analysis with Deep Learning using Priors: Multi-centric Evaluation of Generalisation. Journal of Machine Learning for Biomedical Imaging, 2(November 2024):2293-2325, November 2024. Keyword(s): Image segmentation Image registration Generalisation of deep learning methods priors Echocardiography analysis, Image segmentation, Image registration, Generalisation of deep learning methods, priors, Echocardiography analysis. [bibtex-entry]



14. Irene Balelli, Safaa Al-Ali, Elise Dumas, and Judith Abécassis. Causality: fundamental principles and tools. In Trustworthy AI in Medical Imaging, number Chapitre 14, pages 297-314. November 2024. Keyword(s): Causal learning, Discovery, Inference, Bias, Counfounder, Counterfactual queries. [bibtex-entry]

1. Evariste Njomgue Fotso, Buntheng Ly, Hubert Cochet, and Maxime Sermesant. Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction. In Statistical Atlases and Computational Modeling of the Heart (STACOM), Marrackech, Maroc, Morocco, October 2024. Keyword(s): Sequential fusion, Multimodal deep learning, Arrythtmia, Medical imaging. [bibtex-entry]



2. Yann Fraboni, Martin van Waerebeke, Richard Vidal, Laetitia Kameni, Kevin Scaman, and Marco Lorenzi. SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. In PMLR proceedings, volume 238, Valencia, Spain, May 2024. Keyword(s): Federated learning, Machine unlearning, Optimization. [bibtex-entry]



3. Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, and Maria A Zuluaga. Federated Multi-centric Image Segmentation with Uneven Label Distribution. In MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention, volume LNCS-15010, Marrakesh, Morocco, pages 350-360, October 2024. Springer, Springer Nature Switzerland. Keyword(s): Missing Labels, Domain Adaptation, Federated Learning, Image Segmentation. [bibtex-entry]



4. 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 MICCAI 2024 - Medical Image Computing and Computer Assisted Intervention, 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]



5. Josquin Harrison, James Benn, and Maxime Sermesant. Improving Neural Network Surface Processing with Principal Curvatures. In NeurIPS Proceedings, volume 2024, Vancouver, Canada, December 2024. Keyword(s): Surface processing, Deep learning. [bibtex-entry]



6. Guillaume Olikier. Retractions on closed sets. In MTNS 2024 - 26th International Symposium on Mathematical Theory of Networks and Systems, Cambridge (GB), United Kingdom, August 2024. Keyword(s): retraction, tangent cones, stationarity, line-search methods, low-rank optimization. [bibtex-entry]



7. Jairo Rodrìguez-Padilla, Rafael Silva, Buntheng Ly, Mihaela Pop, and Maxime Sermesant. Personalisation of Action Potentials Based on Activation Recovery Intervals in Post Infarcted Pigs: A Simulation Study. In Computing in Cardiology 2024, volume 51, Karlsruhe (Allemagne), Germany, September 2024. Keyword(s): Cardiac Modeling, Partial Differential Equations, Simulation, Electrophysiology. [bibtex-entry]



8. Théodore Soulier, Mariem Hamzaoui, Milena Sales Pitombeira, Daniele De Paula Faria, Arya Yazdan-Panah, Matteo Tonietto, Claire Leroy, Michel Bottlaender, Benedetta Bodini, Ninon Burgos, Nicholas Ayache, Olivier Colliot, and Bruno Stankoff. Generating PET-derived maps of myelin content from clinical MRI using curricular discriminator training in generative adversarial networks. In SPIE Medical Imaging, San Diego, United States, February 2024. Keyword(s): Multiple Sclerosis, Magnetic Resonance Imaging, Positron Emission Tomography, Myelin, Generative Adversarial Network, Curriculum Learning, Image synthesis. [bibtex-entry]



9. Riccardo Taiello, Melek Önen, Clémentine Gritti, and Marco Lorenzi. Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers. In ARES 2024 - 19th International Conference on Availability, Reliability and Security, number 13 of ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security, Vienna, Austria, pages 1-12, July 2024. ACM. Keyword(s): Attribute-Based Encryption, Time-based Access Control, Direct Revocation, Internet of Things, preserving protocols, Security protocols, Synchronous and Asynchronous Federated Learning, Secure Aggregation, Role authorities, Time authority, Sensors Actuator Proxy. [bibtex-entry]



10. Javier Villar-Valero, Jesus Jairo Rodrìguez Padilla, Buntheng Ly, Juan F Gomez, Mihaela Pop, Beatriz Trenor, and Maxime Sermesant. Exploring Chemotherapy-Induced Cardiotoxicity Combining A 3D Computational Model and Preclinical Cardiac Imaging Data. In MICCAI 2024 proceedings, Marrakesh, Maroc, Morocco, October 2024. Keyword(s): Cardiotoxicity Arrhythmia Fibrosis Computational Modeling Simulation, Cardiotoxicity, Arrhythmia, Fibrosis, Computational Modeling, Simulation. [bibtex-entry]



11. Yingyu Yang, Marie Rocher, Pamela Moceri, and Maxime Sermesant. Uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and Electrocardiograms. In ASMUS 2024 - The 5th International Workshop of Advances in Simplifying Medical UltraSound, volume LNCS-15186 of Simplifying Medical Ultrasound : 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Marrakech, Morocco, pages 177-186, October 2024. Springer Nature Switzerland. Keyword(s): Multi-modal classification, Echocardiography, Electrocardiogram. [bibtex-entry]

1. Yanis Aeschlimann, Anna Calissano, Andreas Abildtrup Hansen, Théodore Papadopoulo, and Samuel Deslauriers-Gauthier. Graph matching of structural and functional brain networks. Note: Working paper or preprint, January 2024. Keyword(s): Brain connectivity, Structure-Function, Graph matching, Brain Network. [bibtex-entry]



2. Safaa Al-Ali and Irene Balelli. Multi-Channel Causal Variational Autoencoder. Note: Working paper or preprint, August 2024. Keyword(s): Multi-channel, Causal discovery, Variational Autoencoder. [bibtex-entry]



3. Safaa Al-Ali, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, and Irene Balelli. Assessing ion channel blockade and electromechanical biomarkers' interrelations through a novel Multi-Channel Causal Variational Autoencoder. Note: Working paper or preprint, August 2024. Keyword(s): Multi-channel, Variational auto-encoder, Torsade de pointes, Risk assesmant, Ion channel block, Electromechanical characteristics. [bibtex-entry]



4. James Benn and Stephen Marsland. The Geometry of Right-Invariant Metrics. Note: Working paper or preprint, May 2024. [bibtex-entry]



5. Anna Calissano, Luìs F Pereira, Jonas Lueg, and Nina Miolane. On the Implementation of Geodesic Metric Spaces. Note: Working paper or preprint, June 2024. Keyword(s): geodesic metric spaces, BHV space, tree-valued data, graph-valued data, geometric data analysis. [bibtex-entry]



6. Sébastien Frey, Federica Facente, Wen Wei, Ezem Sura Ekmekci, Eric Séjor, Patrick Baqué, Matthieu Durand, Hervé Delingette, François Bremond, Pierre Berthet-Rayne, and Nicholas Ayache. Optimizing Intraoperative AI: Evaluation of YOLOv8 for Real-Time Recognition of Robotic and Laparoscopic Instruments. Note: Working paper or preprint, December 2024. Keyword(s): Computer-Assisted Surgery, Computer vision, Surgical instrument detection, Instrument segmentation, Robotic surgery, YoloV8. [bibtex-entry]



7. Guillaume Olikier and Irène Waldspurger. Projected gradient descent accumulates at Bouligand stationary points. Note: Working paper or preprint, May 2024. Keyword(s): Projected gradient descent, Stationarity, Tangent and normal cones, Clarke regularity. [bibtex-entry]



8. Dimbihery Rabenoro and Xavier Pennec. A geometric framework for asymptotic inference of principal subspaces in PCA. Note: Working paper or preprint, November 2024. [bibtex-entry]



9. Dimbihery Rabenoro and Xavier Pennec. Effective formulas for the geometry of normal homogeneous spaces. Application to flag manifolds. Note: Working paper or preprint, December 2024. [bibtex-entry]



10. Rafael Silva, Jairo Rodrìguez-Padilla, Mihaela Pop, and Maxime Sermesant. Analysis of Activation Recovery Interval in Heterogeneous Fibrotic Tissue from Chronically Infarcted Swine. Note: Working paper or preprint, September 2024. [bibtex-entry]



11. Rafael Silva, Yingyu Yang, Maëlis Morier, Safaa Al-Ali, and Maxime Sermesant. YOUR-Lead: YOLO and U-Net for Reconstruction of ECG Lead Signals. Note: Working paper or preprint, September 2024. Keyword(s): ECG, Image Processing and Computer Vision, Denoising Image, ECG Digitization. [bibtex-entry]



12. Tom Szwagier and Xavier Pennec. The curse of isotropy: from principal components to principal subspaces. Note: Working paper or preprint, August 2024. Keyword(s): Principal Component Analysis, Isotropy, Interpretability, Parsimonious Models, Flag Manifolds. [bibtex-entry]

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