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Publications of year 2022

Thesis

  1. Florent Jousse. Statistical modeling of face morphology for dermatology and plastic surgery. Theses, Université Côte d'Azur, September 2022. Keyword(s): Statistical shape modeling, Shape registration, Face modeling, Geodesic kernel, Disentangled learning, Partial least squares, Modélisation statistique de forme, Recalage de formes, Modélisation du visage, Noyau géodésique, Démêlage de représentations, Moindres carrés partiels. [bibtex-entry]


  2. Yann Thanwerdas. Riemannian and stratified geometries on covariance and correlation matrices. Theses, Université Côte d'Azur, May 2022. Keyword(s): Riemannian geometry, Covariance matrices, Correlation matrices, Families of metrics, Geodesics, Stratified spaces, Géométrie riemannienne, Matrices de covariance, Matrices de corrélation, Familles de métriques, Géodésiques, Espaces stratifiés. [bibtex-entry]


Articles in journal, book chapters

  1. Clément Abi Nader, Federica Ribaldi, Giovanni B Frisoni, Valentina Garibotto, Philippe Robert, Nicholas Ayache, and Marco Lorenzi. SimulAD: A dynamical model for personalized simulation and disease staging in Alzheimer's disease. Neurobiology of Aging, 113:73-83, May 2022. Keyword(s): Alzheimer's disease, Disease progression models, Clinical trials, Biomarkers. [bibtex-entry]


  2. Carlos Albors, Èric Lluch, Juan Francisco Gomez, Nicolas Cedilnik, Konstantinos Mountris, Tommaso Mansi, Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova, Esther Pueyo, Maxime Sermesant, Rafael Sebastian, Hernán Morales, and Oscar Camara. Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy-Benchmark Analysis with Finite-Element Methods in Experimental Data. Applied Sciences, 12(13):6438, July 2022. [bibtex-entry]


  3. Benoît Audelan, Dimitri Hamzaoui, Sarah Montagne, Raphaële Renard-Penna, and Hervé Delingette. Robust Bayesian fusion of continuous segmentation maps. Medical Image Analysis, 78:102398, May 2022. Keyword(s): Image segmentation, Data fusion, Consensus, Mixture. [bibtex-entry]


  4. Nicholas Ayache. La fée IA au chevet des malades. Pour la Science. Dossier, 115(115):18-23, May 2022. Note: The article is available at the following address: https://www.pourlascience.fr/sd/medecine/la-fee-ia-au-chevet-des-malades-23684.php. [bibtex-entry]


  5. Tania Marina Bacoyannis, Buntheng Ly, H Cochet, and Maxime Sermesant. Deep learning formulation of ECGI evaluated on clinical data. EP-Europace, 24(Supplement_1), May 2022. Keyword(s): Electrocardiography, Inverse Problem, Deep learning, Computational Modelling, Generative Model, Data Processing, Clinical Evaluation. [bibtex-entry]


  6. Irene Balelli, Santiago Silva, and Marco Lorenzi. A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations. Journal of Machine Learning for Biomedical Imaging, April 2022. [bibtex-entry]


  7. James Benn and Stephen Marsland. The Measurement and Analysis of Shapes. Annals of Global Analysis and Geometry, 62:47-70, April 2022. Keyword(s): Shape, Currents, Hodge theory, Sobolev diffeomorphisms, Euler Equations, Probability densities. [bibtex-entry]


  8. Hind Dadoun, Anne-Laure Rousseau, Eric de Kerviler, Jean Michel Correas, Anne-Marie Tissier, Fanny Joujou, Sylvain Bodard, Kemel Khezzane, Constance de Margerie-Mellon, Hervé Delingette, and Nicholas Ayache. Detection, Localization, and Characterization of Focal Liver Lesions in Abdominal US with Deep Learning. Radiology: Artificial Intelligence, 4(3), 2022. [bibtex-entry]


  9. 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, 2022. Keyword(s): Riemannian Geometry, Geometric Statistics, Python Library. [bibtex-entry]


  10. Nicolas Guigui and Xavier Pennec. Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. Foundations of Computational Mathematics, 22:757-790, June 2022. [bibtex-entry]


  11. Dimitri Hamzaoui, Sarah Montagne, Benjamin Granger, Alexandre Allera, Malek Ezziane, Anna Luzurier, Raphaëlle Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, and Raphaële Renard-Penna. Correction to: Prostate Volume Prediction on MRI: Tools, Accuracy and Variability. European Radiology, 32(7):5035-5035, 2022. [bibtex-entry]


  12. Dimitri Hamzaoui, Sarah Montagne, Benjamin Granger, Alexandre Allera, Malek Ezziane, Anna Luzurier, Raphaële Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, and Raphaele Renard-Penna. Prostate volume prediction on MRI: tools, accuracy and variability. European Radiology, February 2022. Note: The original publication is available at www.springerlink.com: https://link.springer.com/article/10.1007/s00330-022-08554-4. Keyword(s): Prostate, Magnetic Resonance Imaging, Volume, PSA density, Segmentation. [bibtex-entry]


  13. Dimitri Hamzaoui, Sarah Montagne, Raphaele Renard-Penna, Nicholas Ayache, and Hervé Delingette. Automatic Zonal Segmentation of the Prostate from 2D and 3D T2-weighted MRI and Evaluation for Clinical Use. Journal of Medical Imaging, 9(2):024001, March 2022. Keyword(s): Prostate, Segmentation, Deep Learning, Lesion, Magnetic Resonance Imaging, Inter-rater Variability. [bibtex-entry]


  14. Marius Ilie, Jonathan Benzaquen, Paul Tourniaire, Simon Heeke, Nicholas Ayache, Hervé Delingette, Elodie Long-Mira, Sandra Lassalle, Marame Hamila, Julien Fayada, Josiane Otto, Charlotte Cohen, Abel Gomez Caro, Jean Philippe Berthet, Charles Hugo Marquette, Véronique Hofman, Christophe Bontoux, and Paul Hofman. Deep learning facilitates distinguishing histologic subtypes of pulmonary neuroendocrine tumors on digital whole-slide images. Cancers, 14(7):1740, March 2022. Keyword(s): lung, neuroendocrine carcinoma, deep learning, CNN, HALO-AI. [bibtex-entry]


  15. Fabien Lareyre, Christian-Alexander Behrendt, Arindam Chaudhuri, Nicholas Ayache, Hervé Delingette, and Juliette Raffort. Big Data and Artificial Intelligence in Vascular Surgery: Time for Multidisciplinary Cross-Border Collaboration. Angiology, 73(8):697-700, September 2022. [bibtex-entry]


  16. Marius Schmidt- Mengin, Théodore Soulier, Mariem Hamzaoui, Arya Yazdan-Panah, Benedetta Bodini, Nicholas Ayache, Bruno Stankoff, and Olivier Colliot. Online hard example mining vs. fixed oversampling strategy for segmentation of new multiple sclerosis lesions from longitudinal FLAIR MRI. Frontiers in Neuroscience, 16:100405, 2022. Keyword(s): New lesions segmentation, Deep learning, Hard example mining, Multiple sclerosis, MRI. [bibtex-entry]


  17. Yann Thanwerdas and Xavier Pennec. O(n)-invariant Riemannian metrics on SPD matrices. Linear Algebra and its Applications, 2022. 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]


  18. Yann Thanwerdas and Xavier Pennec. The geometry of mixed-Euclidean metrics on symmetric positive definite matrices. Differential Geometry and its Applications, 81(101867), April 2022. Keyword(s): Symmetric Positive Definite matrices, Riemannian geometry, information geometry, families of metrics, kernel metrics, alpha-Procrustes, mixed-power-Euclidean, mixed-Euclidean, (u, v)-divergence, ($\alpha$, $\beta$)-divergence, 15B48, 53B12, 15A63, 53B20. [bibtex-entry]


  19. Yann Thanwerdas and Xavier Pennec. The geometry of mixed-Euclidean metrics on symmetric positive definite matrices. Differential Geometry and its Applications, 81(101867), April 2022. Keyword(s): Symmetric Positive Definite matrices, Riemannian geometry, information geometry, families of metrics, kernel metrics, alpha-Procrustes, mixed-power-Euclidean, mixed-Euclidean, (u, v)-divergence, ($\alpha$, $\beta$)-divergence, 15B48, 53B12, 15A63, 53B20. [bibtex-entry]


  20. Yann Thanwerdas and Xavier Pennec. Theoretically and computationally convenient geometries on full-rank correlation matrices. SIAM Journal on Matrix Analysis and Applications, 2022. Keyword(s): SPD matrices, Correlation matrices, Lie group, Lie group actions, Quotient-affine metric, Lie-Cholesky metrics, Poly-hyperbolic-Cholesky metrics, Euclidean-Cholesky metrics, Log-Euclidean-Cholesky metrics. [bibtex-entry]


  21. Nicolas Guigui and Xavier Pennec. Parallel transport, a central tool in geometric statistics for computational anatomy: Application to cardiac motion modeling. In Frank Nielsen, Arni S.R. Srinivasa Rao, and C.R. Rao, editors, Geometry and Statistics, volume 46 of Handbook of Statistics, pages 285-326. Elsevier, May 2022. Keyword(s): Parallel transport, longitudinal studies, mean trajectory, cardiac motion analysis, Schild's ladder, pole ladder, Riemannian manifolds. [bibtex-entry]


Conference articles

  1. Yann Fraboni, Richard Vidal, Laetitia Kameni, and Marco Lorenzi. A General Theory for Client Sampling in Federated Learning. In International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22), Vienna, Austria, July 2022. [bibtex-entry]


  2. Dimitri Hamzaoui, Sarah Montagne, Raphaele Renard-Penna, Nicholas Ayache, and Hervé Delingette. MOrphologically-aware Jaccard-based ITerative Optimization (MOJITO) for Consensus Segmentation. In MICCAI Workshop UNSURE 2022: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Singapore, Singapore, September 2022. Keyword(s): Consensus Algorithm, Segmentation 2D et 3D, Jaccard distance, STAPLE. [bibtex-entry]


  3. Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, and Maxime Sermesant. Deep Learning for Model Correction in Cardiac Electrophysiological Imaging. In MIDL 2022 - Medical Imaging with Deep Learning, Zurich, Switzerland, July 2022. Keyword(s): Electrophysiology, Deep learning, Simulations, Physics-based learning. [bibtex-entry]


  4. Huiyu Li, Nicholas Ayache, and Hervé Delingette. Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?. In MICCAI Workshop on Distributed, Collaborative and Federated Learning, Singapore, Singapore, September 2022. Note: Best Paper Award. Keyword(s): Data Stealing Attack, Privacy, Medical Images. [bibtex-entry]


  5. Buntheng Ly, Sonny Finsterbach, Marta Nuñez-Garcia, Pierre Jaïs, Damien Garreau, Hubert Cochet, and Maxime Sermesant. Interpretable Prediction of Post-Infarct Ventricular Arrhythmia using Graph Convolutional Network. In STACOM 2022 - 13th Workhop on Statistical Atlases and Computational Modelling of the Heart, Singapore, Singapore, September 2022. Keyword(s): Graph Neural Network, Ventricular Arrhythmia, Interpretable AI, Cardiac CT. [bibtex-entry]


  6. Riccardo Taiello, Melek Önen, Olivier Humbert, and Marco Lorenzi. Privacy Preserving Image Registration. In MICCAI 2022 - Medical Image Computing and Computer Assisted Intervention, Singapore, Singapore, September 2022. Keyword(s): Image Registration, Privacy enhancing technologies, Trustworthiness. [bibtex-entry]


  7. Zihao Wang, Yingyu Yang, Maxime Sermesant, and Hervé Delingette. Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers. In STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Singapore, Singapore, September 2022. Keyword(s): Unsupervised Registration, MLP, Transformer, Echocardiography. [bibtex-entry]


  8. Yingyu Yang, Marie Rocher, Pamela Moceri, and Maxime Sermesant. Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection. In STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Singapore, Singapore, September 2022. Keyword(s): ECG analysis Reconstruction Explainable ML Myocardial infarction classification, ECG analysis, Reconstruction, Explainable ML, Myocardial infarction classification. [bibtex-entry]


Miscellaneous

  1. Francisco J Burgos-Fernandez, Buntheng Ly, Fernando Dìaz-Doutón, Meritxell Vilaseca, Jaume Pujol, and Maxime Sermesant. Deep learning for eye fundus diagnosis based on multispectral imaging. ARVO 2022 - Annual meeting of the Association for Research in Vision and Ophthalmology, May 2022. Note: Poster. [bibtex-entry]


  2. Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, and Nicholas Ayache. Deep Clustering for Abdominal Organ Classification in US imaging. Note: Working paper or preprint, June 2022. Keyword(s): ultrasound imaging, representation learning, deep clustering, semi-supervised learning. [bibtex-entry]


  3. Yann Fraboni, Richard Vidal, Laetitia Kameni, and Marco Lorenzi. A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. Note: Working paper or preprint, July 2022. [bibtex-entry]


  4. Dimbihery Rabenoro and Xavier Pennec. A geometric framework for asymptotic inference of principal subspaces in PCA. Note: Working paper or preprint, November 2022. [bibtex-entry]


  5. Yann Thanwerdas. PERMUTATION-INVARIANT LOG-EUCLIDEAN GEOMETRIES ON FULL-RANK CORRELATION MATRICES. Note: Working paper or preprint, November 2022. 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: Fri Dec 9 00:30:06 2022
Author: epione-publi.

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