Publications of year 2023


  1. Gaëtan Desrues. Personalised 3D electromechanical models of the heart for cardiac resynchronisation therapy planning in heart failure patients. Theses, Université Côte d'Azur, March 2023. Keyword(s): Patient-specific simulation, Digital twin, ECG, CRT, Cardiac electrophysiology, Biomechanics, Finite element method, Artificial intelligence, Simulation personnalisée, Jumeau numérique, ECG, CRT, Électrophysiologie cardiaque, Biomécanique, Méthode des éléments finis, Intelligence artificielle. [bibtex-entry]

  2. Yann Fraboni. Reliability and robustness of federated learning in practical applications. Theses, Université Côte d'Azur, May 2023. Keyword(s): Federated learning, Heterogeneous data, Privacy, Distributed optimization, Bias, Apprentissage fédéré, Données hétérogènes, Protection des données, Optimisation distribuée, Biais. [bibtex-entry]

  3. Dimitri Hamzaoui. AI-based diagnosis of prostate cancer from multiparametric MRI. Theses, Université Côte d'Azur, June 2023. Keyword(s): Machine learning, Prostate-cancer, Inter-expert variability, Segmentation, Consensus, Medical imaging, Artificial intelligence, Apprentissage profond, Prostate-cancer, Variabilité inter-expert, Segmentation, Consensus, Imagerie médicale, Intelligence artificielle. [bibtex-entry]

  4. Victoriya Kashtanova. Learning cardiac electrophysiology dynamics with PDE-based physiological constraints for data-driven personalised predictions. Theses, Université Côte d'Azur, June 2023. Keyword(s): Physics-based learning, Deep learning, Cardiac electrophysiology, Model personalisation, PDE, Simulations, Apprentissage basé sur la physique, Apprentissage profond, Electrophysiologie cardiaque, Personnalisation de modèle, EDP, Simulations. [bibtex-entry]

  5. Santiago Smith Silva Rincon. Federated learning of biomedical data in multicentric imaging studies. Theses, Université Côte d'Azur, July 2023. Keyword(s): Federated learning, Healthcare, Data protection, GDPR, CCPA, Medical imaging, Data harmonization, Meta-analyzis, Mega-analyzis, Fed-BioMed, Bayesian optimization, Radom effect models, FedComBat, Apprentissage fédéré, Santé, Protection des données, RGPD, CCPA, Imageie médicale, Harmonisation des données, Méta-analyse, Méganalyse, Fed-BioMed, Optimisation bayésienne, Modèles à effets aléatoires, FedComBat. [bibtex-entry]

  6. Paul Tourniaire. AI-based selection of imaging and biological markers predictive of therapy response in lung cancer. Theses, Université Côte d'Azur, June 2023. Keyword(s): Digital pathology, Multiple instance learning, Mixed supervision, Deep learning, Survival analysis, Lung cancer, Immunotherapy, Histopathologie numérique, Apprentissage multi-instance, Supervision mélangée, Apprentissage profond, Analyse de survie, Cancer du poumon, Immunothérapie. [bibtex-entry]

Articles in journal, book chapters

  1. Arnaud Berenbaum, Hervé Delingette, Aurélien Maire, Cécile Poret, Claire Hassen-Khodja, Stéphane Bréant, Christel Daniel, Patricia Martel, Lamiae Grimaldi, Marie Frank, Emmanuel Durand, and Florent Besson. Performance of AI-Based Automated Classifications of Whole-Body FDG PET in Clinical Practice: The CLARITI Project. Applied Sciences, 13(9):5281, May 2023. Keyword(s): FDG PET, artificial intelligence, deep learning, convolutional neural network. [bibtex-entry]

  2. Nina Brillat-Savarin, Carine Wu, Laurène Aupin, Camille Thoumin, Dimitri Hamzaoui, and Raphaële Renard-Penna. 3.0 T prostate MRI: Visual assessment of 2D and 3D T2-weighted imaging sequences using PI-QUAL score. European Journal of Radiology, 166:110974, September 2023. [bibtex-entry]

  3. Nicolas Cedilnik, Mihaela Pop, Josselin Duchateau, Frédéric Sacher, Pierre Jaïs, Hubert Cochet, and Maxime Sermesant. Efficient Patient-Specific Simulations of Ventricular Tachycardia Based on Computed Tomography-Defined Wall Thickness Heterogeneity. JACC: Clinical Electrophysiology, September 2023. Keyword(s): Cardiac modeling, Electrophysiology modeling, CT, Ventricular tachycardia, Medical simulation. [bibtex-entry]

  4. Quentin Clairon, Chloé Pasin, Irene Balelli, Rodolphe Thiébaut, and Mélanie Prague. Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: An optimal control approach. Computational Statistics, September 2023. Keyword(s): Dynamic population models, Ordinary differential equations, Optimal control theory, Mechanistic models, Nonlinear mixed effects models, Clinical trial analysis. [bibtex-entry]

  5. Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, and Nicholas Ayache. Deep Clustering for Abdominal Organ Classification in US imaging. Journal of Medical Imaging, 10(3):034502, 2023. Keyword(s): ultrasound imaging, representation learning, deep clustering, semi-supervised learning. [bibtex-entry]

  6. Nicolas Guigui, Nina Miolane, and Xavier Pennec. Introduction to Riemannian Geometry and Geometric Statistics: from basic theory to implementation with Geomstats. Foundations and Trends in Machine Learning, 16(3):329-493, February 2023. Keyword(s): Riemannian Geometry, Geometric Statistics, Python Library. [bibtex-entry]

  7. Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, Nicholas Ayache, and Hervé Delingette. Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO). Journal of Machine Learning for Biomedical Imaging, 2(UNSURE 2022 Special Issue):361-389, September 2023. Keyword(s): Consensus, Distance, Heuristic, Optimization, STAPLE. [bibtex-entry]

  8. Philipp Harms, Peter W. Michor, Xavier Pennec, and Stefan Sommer. Geometry of Sample Spaces. Differential Geometry and its Applications, 90:102029, October 2023. Note: 29 pages, 1 figure. [bibtex-entry]

  9. Sébastien Molière, Dimitri Hamzaoui, Anna Luzurier, Benjamin Granger, Sarah Montagne, Alexandre Allera, Malek Ezziane, Raphaële Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, and Raphaële Renard-Penna. Reference standard for the evaluation of automatic segmentation algorithms: Quantification of inter observer variability of manual delineation of prostate contour on MRI. Diagnostic and Interventional Imaging, August 2023. Keyword(s): Artificial intelligence Inter-reader variability Magnetic resonance imaging Prostate Segmentation. [bibtex-entry]

  10. Théodore Soulier, Olivier Colliot, Nicholas Ayache, and Benjamin Rohaut. How will tomorrow's algorithms fuse multimodal data? The example of the neuroprognosis in Intensive Care. Anaesthesia Critical Care & Pain Medicine, pp 101301, September 2023. Keyword(s): Disorders of Consciousness, Neurological Prognosis, Multimodal Data, Artificial Intelligence, Disorders of Consciousness Neurological Prognosis Multimodal Data Artificial Intelligence. [bibtex-entry]

  11. Yann Thanwerdas and Xavier Pennec. Bures-Wasserstein minimizing geodesics between covariance matrices of different ranks. SIAM Journal on Matrix Analysis and Applications, 44(3):1447-1476, September 2023. Keyword(s): Covariance matrices, PSD matrices, Bures-Wasserstein, Orbit space, Geodesics, Injection domain, 15B48, 15A63, 53B20, 53C22, 58D17, 53-08, 53A04, 54E50, 58A35. [bibtex-entry]

  12. Yann Thanwerdas and Xavier Pennec. O(n)-invariant Riemannian metrics on SPD matrices. Linear Algebra and its Applications, 661:163-201, March 2023. Keyword(s): 53B20, Symmetric Positive Definite matrices, Riemannian geometry, Invariance under orthogonal transformations, Families of metrics, Log-Euclidean metric, Affine-invariant metric, Bures-Wasserstein metric, Kernel metrics. [bibtex-entry]

  13. Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, and Hervé Delingette. MS-CLAM: Mixed Supervision for the classification and localization of tumors in Whole Slide Images. Medical Image Analysis, 85:102763, 2023. Keyword(s): Digital Pathology, Mixed Supervision, Deep Learning, Camelyon16, DigestPath2019. [bibtex-entry]

  14. Zihao Wang, Zhifei Xu, Jiayi He, Herve Delingette, and Jun Fan. Long Short-Term Memory Neural Equalizer. IEEE Transactions on Signal and Power Integrity, 2:13-22, 2023. [bibtex-entry]

  15. Marco Lorenzi, Marie Deprez, Irene Balelli, Ana L Aguila, and Andre Altmann. Integration of Multimodal Data. In Olivier Colliot, editor, Machine Learning for Brain Disorders, volume NM197 of Neuromethods, pages 573 - 597. Springer, 2023. Keyword(s): Multivariate analysis, Latent variable models, Multimodal imaging, -Omics, Imaginggenetics, Partial least squares, Canonical correlation analysis, Variational autoencoders, Sparsity, Interpretability. [bibtex-entry]

  16. Buntheng Ly, Mihaela Pop, Hubert Cochet, Nicolas Duchateau, Declan O'regan, and Maxime Sermesant. Outcome Prediction. In AI and Big Data in Cardiology : A Practical Guide, pages 105-133. Springer International Publishing, May 2023. [bibtex-entry]

Conference articles

  1. Morten Akhoj, Xavier Pennec, and Stefan Sommer. Tangent phylogenetic PCA. In Scandinavian Conference on Image Analysis 2023, Levi Ski Resort (Lapland), Finland, April 2023. [bibtex-entry]

  2. Anna Calissano, Elodie Maignant, and Xavier Pennec. Towards Quotient Barycentric Subspaces. In GSI 2023: Geometric Science of Information, volume 14071 of Lecture Notes in Computer Science, Saint-Malo (France), France, pages 366-374, August 2023. Springer Nature Switzerland. Keyword(s): Discrete Group, Quotient Space, Barycentric Subspace Analysis, Graph Space, Object Oriented Data Analysis. [bibtex-entry]

  3. Nicolas Cedilnik and Jean-Marc Peyrat. Weighted tissue thickness. In FIMH 2023 - 12th International Conference On Functional Imaging And Modeling Of The Heart, Lecture Notes in Computer Science, Lyon, France, June 2023. Springer. Keyword(s): Thickness, Thickness measurements, Medical image analysis. [bibtex-entry]

  4. Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, and Nicholas Ayache. Joint representation learning from french radiological reports and ultrasound images. In IEEE ISBI 2023 - International Symposium on Biomedical Imaging, Cartagena de Indias, Colombia, April 2023. IEEE. Keyword(s): multimodal learning deep clustering natural language processing ultrasound examinations kidneys, multimodal learning, deep clustering, natural language processing, ultrasound examinations, kidneys. [bibtex-entry]

  5. Zhijie Fang, Hervé Delingette, and Nicholas Ayache. Anatomical Landmark Detection for Initializing US and MR Image Registration. In MICCAI ASMUS 2023 - 4th International Workshop of Advances in Simplifying Medical UltraSound - a workshop held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Vancouver, Canada, October 2023. Keyword(s): Landmark detection, Image-guided intervention, Convolutional neural network and Prostate cancer. [bibtex-entry]

  6. Elodie Maignant, Alain Trouvé, and Xavier Pennec. Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces. In GSI 2023: Geometric Science of Information, volume 14071 of Lecture Notes in Computer Science, Saint-Malo, (France), France, pages 12-20, August 2023. Springer Nature Switzerland. Keyword(s): Locally Linear Embedding, Optimisation on Quotient Manifolds, Shape Spaces. [bibtex-entry]

  7. Hari Sreedhar, Guillaume P R Lajoinie, Charles Raffaelli, and Hervé Delingette. Active Learning Strategies on a Real-World Thyroid Ultrasound Dataset. In DALI 2023 - Data Augmentation, Labelling, and Imperfections / MICCAI Workshop 2023, MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2023, held in conjunction with MICCAI 2023 Proceedings, Vancouver, Canada, October 2023. Keyword(s): Thyroid cancer, Active learning, Ultrasound imaging. [bibtex-entry]

  8. Tom Szwagier and Xavier Pennec. Rethinking the Riemannian Logarithm on Flag Manifolds as an Orthogonal Alignment Problem. In GSI 2023: Geometric Science of Information, volume 14071 of Lecture Notes in Computer Science, Saint-Malo, (France), France, pages 375-383, August 2023. Springer Nature Switzerland. Keyword(s): Flag manifolds, Riemannian logarithm, Orthogonal alignment, Procrustes analysis, Flag manifolds Riemannian logarithm Orthogonal alignment Procrustes analysis. [bibtex-entry]

  9. Yann Thanwerdas and Xavier Pennec. Characterization of Invariant Inner Products. In GSI 2023 - International Conference on Geometric Science of Information, volume LNCS-14071 of Geometric Science of Information: 6th International Conference, GSI 2023, St. Malo, France, August 30 -- September 1, 2023, Proceedings, Part I, Saint Malo, France, France, pages 384-391, August 2023. Springer Nature Switzerland. Keyword(s): Invariant inner product Invariant Riemannian metric Group action Representation theory, Invariant inner product, Invariant Riemannian metric, Group action, Representation theory. [bibtex-entry]

  10. Yingyu Yang and Maxime Sermesant. Unsupervised Polyaffine Transformation Learning for Echocardiography Motion Estimation. In FIMH 2023 - The 12th International Conference on Functional Imaging and Modeling of The Heart, Lyon, France, June 2023. Keyword(s): Motion Estimation Echocardiography Polyaffine Transformation, Motion Estimation, Echocardiography, Polyaffine Transformation. [bibtex-entry]

Internal reports

  1. Frédéric Blanqui, Anne Canteaut, Hidde De Jong, Sébastien Imperiale, Nathalie Mitton, Guillaume Pallez, Xavier Pennec, Xavier Rival, and Bertrand Thirion. Recommendations on ''Grey-Zone Publishers''. Technical report, Inria, January 2023. [bibtex-entry]

  2. Frédéric Blanqui, Anne Canteaut, Hidde de Jong, Sébastien Imperiale, Nathalie Mitton, Guillaume Pallez, Xavier Pennec, Xavier Rival, and Bertrand Thirion. Recommandations sur les `` éditeurs de la zone grise ''. Technical report, Inria, January 2023. [bibtex-entry]


  1. Yanis Aeschlimann, Anna Calissano, Samuel Deslauriers-Gauthier, Théodore Papadopoulo, and Andreas Hansen. Preliminary results on the graph matching of structural and functional brain networks. Neuromod Yearly Meeting 2023, June 2023. Note: Poster. Keyword(s): brain networks, structural connectivity, functional connectivity, brain atlas, network alignment. [bibtex-entry]

  2. Morten Akhoj, James Benn, Erlend Grong, Stefan Sommer, and Xavier Pennec. Principal subbundles for dimension reduction. Note: Working paper or preprint, July 2023. [bibtex-entry]

  3. Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, and Irene Balelli. A causal discovery approach for streamline ion channels selection to improve drug-induced TdP risk assessment. Note: Working paper or preprint, 2023. Keyword(s): Causal discovery, Drug safety, Ions channel, TdP risk. [bibtex-entry]

  4. Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, and Marco Lorenzi. Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models. Note: Working paper or preprint, 2023. Keyword(s): Missing data, Federated learning, Federated pre-processing, Variational autoencoders, Deep Learning. [bibtex-entry]

  5. Blanche Buet and Xavier Pennec. Flagfolds. Note: Working paper or preprint, 2023. [bibtex-entry]

  6. Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetita Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, and Marco Lorenzi. Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. Note: Working paper or preprint, April 2023. Keyword(s): Machine learning, Biomedical Application, Healthcare, Federated Learning Framework. [bibtex-entry]

  7. Etrit Haxholli and Marco Lorenzi. Faster Training and Improved Performance of Diffusion Models via Parallel Score Matching. Note: Working paper or preprint, March 2023. [bibtex-entry]

  8. Dimbihery Rabenoro and Xavier Pennec. The geometry of Riemannian submersions from compact Lie groups. Application to flag manifolds. Note: Working paper or preprint, October 2023. [bibtex-entry]

  9. Tom Szwagier and Xavier Pennec. Stratified principal component analysis. Note: Working paper or preprint, November 2023. Keyword(s): Covariance model, Eigenvalue multiplicity, Flag manifold, Parsimony, Probabilistic principal component analysis, Stratification. [bibtex-entry]

  10. Yann Thanwerdas. Permutation-invariant log-Euclidean geometries on full-rank correlation matrices. Note: Working paper or preprint, November 2023. 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., 15A63, 53B20, 53C22, 58D17, 53-08, 53A04, 62H20, 15B48. [bibtex-entry]



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Last modified: Tue Dec 5 00:30:03 2023
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