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Publications of year 2024

Books and proceedings

  1. Marco Lorenzi and Maria A. Zuluaga. Trustworthy AI in medical imaging. Academic Press, November 2024.
    @book{lorenzi:hal-04833356,
    TITLE = {{Trustworthy AI in medical imaging}},
    AUTHOR = {Lorenzi, Marco and Zuluaga, Maria A.},
    url-hal= {https://hal.science/hal-04833356},
    PUBLISHER = {{Academic Press}},
    PAGES = {536},
    YEAR = {2024},
    MONTH = Nov,
    DOI = {10.1016/B978-0-44-323761-4.00009-2},
    HAL_ID = {hal-04833356},
    HAL_VERSION = {v1},
    
    }
    


Thesis

  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.
    @phdthesis{harrison:tel-04709084,
    TITLE = {{Medical imaging, shapes and statistics for stroke prediction in atrial fibrillation}},
    AUTHOR = {Harrison, Josquin},
    url-hal= {https://theses.hal.science/tel-04709084},
    NUMBER = {2024COAZ4027},
    SCHOOL = {{Universit{\'e} C{\^o}te d'Azur}},
    YEAR = {2024},
    MONTH = Jun,
    KEYWORDS = {Shape statistics ; Cerebrovascular accident ; Machine learning ; Medical imaging ; Atrial fibrillation ; Statistiques de formes ; Accident vasculaire c{\'e}r{\'e}bral ; Apprentissage ; Imagerie medicale ; Fibrillation atriale},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-04709084v1/file/2024COAZ4027.pdf},
    HAL_ID = {tel-04709084},
    HAL_VERSION = {v1},
    
    }
    


  2. Huiyu Li. Data exfiltration and anonymization of medical images based on generative models. Theses, Université Côte d'Azur, November 2024. Keyword(s): Identity-utility extraction, Latent code optimization, Privacy and security, Data exfiltration attack, Images compression, Steganography, Medical image anonymization, Attaque d'exfiltration de données, Compression d'images, Stéganographie, Anonymisation d'images médicales, Extraction d'identité-utilité, Optimisation du code latent, Confidentialité.
    @phdthesis{li:tel-04890277,
    TITLE = {{Data exfiltration and anonymization of medical images based on generative models}},
    AUTHOR = {Li, Huiyu},
    url-hal= {https://theses.hal.science/tel-04890277},
    NUMBER = {2024COAZ4041},
    SCHOOL = {{Universit{\'e} C{\^o}te d'Azur}},
    YEAR = {2024},
    MONTH = Nov,
    KEYWORDS = {Identity-utility extraction ; Latent code optimization ; Privacy and security ; Data exfiltration attack ; Images compression ; Steganography ; Medical image anonymization ; Attaque d'exfiltration de donn{\'e}es ; Compression d'images ; St{\'e}ganographie ; Anonymisation d'images m{\'e}dicales ; Extraction d'identit{\'e}-utilit{\'e} ; Optimisation du code latent ; Confidentialit{\'e}},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-04890277v3/file/2024COAZ4041.pdf},
    HAL_ID = {tel-04890277},
    HAL_VERSION = {v3},
    
    }
    


  3. Hari Sreedhar. Thyrosonics : learning-based detection and classification of thyroid nodules from ultrasound images. Theses, Université Côte d'Azur, October 2024. Keyword(s): Thyroid cancer, Machine learning, Medical imaging, Cancer de la thyroïde, Apprentissage automatique, Imagerie médicale.
    @phdthesis{sreedhar:tel-04934020,
    TITLE = {{Thyrosonics : learning-based detection and classification of thyroid nodules from ultrasound images}},
    AUTHOR = {Sreedhar, Hari},
    url-hal= {https://theses.hal.science/tel-04934020},
    NUMBER = {2024COAZ4038},
    SCHOOL = {{Universit{\'e} C{\^o}te d'Azur}},
    YEAR = {2024},
    MONTH = Oct,
    KEYWORDS = {Thyroid cancer ; Machine learning ; Medical imaging ; Cancer de la thyro{\"i}de ; Apprentissage automatique ; Imagerie m{\'e}dicale},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-04934020v2/file/2024COAZ4038.pdf},
    HAL_ID = {tel-04934020},
    HAL_VERSION = {v2},
    
    }
    


  4. 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.
    @phdthesis{taiello:tel-04792608,
    TITLE = {{Privacy-preserving machine learning for large-scale collaborative healthcare data analysis}},
    AUTHOR = {Taiello, Riccardo},
    url-hal= {https://theses.hal.science/tel-04792608},
    NUMBER = {2024COAZ4031},
    SCHOOL = {{Universit{\'e} C{\^o}te d'Azur}},
    YEAR = {2024},
    MONTH = Sep,
    KEYWORDS = {Security and privacy ; Privacy enhancing technologies ; Federate learning ; S{\'e}curit{\'e} et confidentialit{\'e} ; Technologies de renforcement de la confidentialit{\'e} ; Apprentissage f{\'e}d{\'e}r{\'e}},
    TYPE = {Theses},
    PDF = {https://theses.hal.science/tel-04792608v1/file/2024COAZ4031.pdf},
    HAL_ID = {tel-04792608},
    HAL_VERSION = {v1},
    
    }
    


Articles in journal, book chapters

  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.
    @article{alali:hal-04307455,
    TITLE = {{Detection of ulcerative colitis lesions from weakly annotated colonoscopy videos using bounding boxes}},
    AUTHOR = {Al-Ali, Safaa and Chaussard, John and Li-Thiao-T{\'e}, S{\'e}bastien and Ogier-Denis, {\'E}ric and Percy-Du-Sert, Alice and Treton, Xavier and Zaag, Hatem},
    url-hal= {https://hal.science/hal-04307455},
    JOURNAL = {{Gastrointestinal Disorders}},
    PUBLISHER = {{MDPI}},
    VOLUME = {6},
    NUMBER = {1},
    PAGES = {292-307},
    YEAR = {2024},
    MONTH = Mar,
    DOI = {10.3390/gidisord6010020},
    PDF = {https://hal.science/hal-04307455v1/file/52478909_File000000_1285947758-1.pdf},
    HAL_ID = {hal-04307455},
    HAL_VERSION = {v1},
    
    }
    


  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.
    @article{bisson:hal-04831093,
    TITLE = {{Differential of the Stretch Tensor for Any Dimension with Applications to Quotient Geodesics}},
    AUTHOR = {Bisson, Olivier and Pennec, Xavier},
    url-hal= {https://hal.science/hal-04831093},
    JOURNAL = {{Comptes Rendus. Math{\'e}matique}},
    PUBLISHER = {{Acad{\'e}mie des sciences (Paris)}},
    VOLUME = {362},
    NUMBER = {G12},
    PAGES = {1847-1856},
    YEAR = {2024},
    MONTH = Nov,
    DOI = {10.5802/crmath.692},
    KEYWORDS = {Polar Decomposition ; Stretch Tensor ; Quotient Geodesics},
    PDF = {https://hal.science/hal-04831093v1/file/CRMATH_2024__362_G12_1847_0.pdf},
    HAL_ID = {hal-04831093},
    HAL_VERSION = {v1},
    
    }
    


  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.
    @article{calissano:hal-03910761,
    TITLE = {{Graph Alignment Exploiting the Spatial Organization Improves the Similarity of Brain Networks}},
    AUTHOR = {Calissano, Anna and Papadopoulo, Th{\'e}odore and Pennec, Xavier and Deslauriers-Gauthier, Samuel},
    url-hal= {https://inria.hal.science/hal-03910761},
    JOURNAL = {{Human Brain Mapping}},
    PUBLISHER = {{Wiley}},
    VOLUME = {45},
    NUMBER = {1},
    PAGES = {e26554},
    YEAR = {2024},
    MONTH = Jan,
    DOI = {10.1002/hbm.26554},
    PDF = {https://inria.hal.science/hal-03910761v3/file/Human%20Brain%20Mapping%20-%202024%20-%20Calissano%20-%20Graph%20alignment%20exploiting%20the%20spatial%20organization%20improves%20the%20similarity%20of.pdf},
    HAL_ID = {hal-03910761},
    HAL_VERSION = {v3},
    
    }
    


  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.
    @article{chierici:hal-04719931,
    TITLE = {{Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence}},
    AUTHOR = {Chierici, Andrea and Lareyre, Fabien and Salucki, Benjamin and Iannelli, Antonio and Delingette, Herv{\'e} and Raffort, Juliette},
    url-hal= {https://inria.hal.science/hal-04719931},
    JOURNAL = {{Journal of International Medical Research}},
    PUBLISHER = {{SAGE Publications (UK and US)}},
    VOLUME = {52},
    NUMBER = {9},
    YEAR = {2024},
    MONTH = Sep,
    DOI = {10.1177/03000605241263170},
    KEYWORDS = {deep learning ; deep learning ; Vessel segmentation ; liver ; artificial intelligence ; active contour ; tracking ; machine learning},
    PDF = {https://inria.hal.science/hal-04719931v1/file/chierici-et-al-2024-vascular-liver-segmentation-a-narrative-review-on-methods-and-new-insights-brought-by-artificial%20%281%29.pdf},
    HAL_ID = {hal-04719931},
    HAL_VERSION = {v1},
    
    }
    


  5. Marco Corneli, Elena Erosheva, Xunlei Qian, and Marco Lorenzi. A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures. Computational Statistics, May 2024. Keyword(s): Longitudinal Data, Mixture Models, Bayesian Model Selection.
    @article{corneli:hal-02310069,
    TITLE = {{A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures}},
    AUTHOR = {Corneli, Marco and Erosheva, Elena and Qian, Xunlei and Lorenzi, Marco},
    url-hal= {https://hal.science/hal-02310069},
    JOURNAL = {{Computational Statistics}},
    PUBLISHER = {{Springer Verlag}},
    YEAR = {2024},
    MONTH = May,
    DOI = {10.1007/s00180-024-01501-5},
    KEYWORDS = {Longitudinal Data ; Mixture Models ; Bayesian Model Selection},
    PDF = {https://hal.science/hal-02310069v3/file/sn-article-revision.pdf},
    HAL_ID = {hal-02310069},
    HAL_VERSION = {v3},
    
    }
    


  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.
    @article{goffart:hal-04816955,
    TITLE = {{Artificial Intelligence to enhance future clinical trials in Vascular Surgery}},
    AUTHOR = {Goffart, Sebastien and Chierici, Andr{\'e}a and Guzzi, Lisa and Delingette, Herv{\'e} and Alouane, Ahmed and Lareyre, Fabien and Raffort, Juliette},
    url-hal= {https://hal.science/hal-04816955},
    JOURNAL = {{Annals of Vascular Surgery}},
    PUBLISHER = {{Elsevier Masson}},
    VOLUME = {111},
    PAGES = {331-335},
    YEAR = {2024},
    MONTH = Nov,
    DOI = {10.1016/j.avsg.2024.11.019},
    HAL_ID = {hal-04816955},
    HAL_VERSION = {v1},
    
    }
    


  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.
    @article{haxholli:hal-03911884,
    TITLE = {{On Tail Decay Rate Estimation of Loss Function Distributions}},
    AUTHOR = {Haxholli, Etrit and Lorenzi, Marco},
    url-hal= {https://inria.hal.science/hal-03911884},
    JOURNAL = {{Journal of Machine Learning Research}},
    PUBLISHER = {{Microtome Publishing}},
    VOLUME = {25},
    NUMBER = {25},
    PAGES = {1--47},
    YEAR = {2024},
    MONTH = Feb,
    KEYWORDS = {Extreme Value Theory ; Tail Modelling ; Loss Function Distributions ; Peaks-Over-Threshold ; Cross-Tail-Estimation ; Model Ranking},
    PDF = {https://inria.hal.science/hal-03911884v3/file/On_Tail_Decay%20Rate_Estimation_of_Loss_Funct_on_Distributions.pdf},
    HAL_ID = {hal-03911884},
    HAL_VERSION = {v3},
    
    }
    


  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.
    @article{labory:hal-04681403,
    TITLE = {{Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data}},
    AUTHOR = {Labory, Justine and Njomgue-Fotso, Evariste and Bottini, Silvia},
    url-hal= {https://hal.inrae.fr/hal-04681403},
    JOURNAL = {{Computational and Structural Biotechnology Journal}},
    PUBLISHER = {{Elsevier}},
    VOLUME = {23},
    NUMBER = {1},
    PAGES = {1274-1287},
    YEAR = {2024},
    MONTH = Dec,
    DOI = {10.1016/j.csbj.2024.03.016},
    HAL_ID = {hal-04681403},
    HAL_VERSION = {v1},
    
    }
    


  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.
    @article{moliere:hal-04827079,
    TITLE = {{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}},
    AUTHOR = {Moli{\`e}re, S{\'e}bastien and Hamzaoui, Dimitri and Ploussard, Guillaume and Mathieu, R and Fiard, Ga{\"e}lle and Baboudjian, Michael and granger, benjamin and Roupret, Morgan and Delingette, Herv{\'e} and Renard-Penna, Rapha{\"e}le},
    url-hal= {https://hal.science/hal-04827079},
    JOURNAL = {{European Urology Oncology}},
    PUBLISHER = {{Elsevier}},
    YEAR = {2024},
    DOI = {10.1016/j.euo.2024.11.001},
    KEYWORDS = {Artificial intelligence ; Deep learning ; Diagnostic accuracy ; Magnetic resonance imaging ; Prostate cancer ; Systematic review},
    HAL_ID = {hal-04827079},
    HAL_VERSION = {v1},
    
    }
    


  10. Riccardo Taiello, Melek Önen, Francesco Capano, Olivier Humbert, and Marco Lorenzi. Privacy Preserving Image Registration. Medical Image Analysis, 94:103129, May 2024. Keyword(s): Image Registration, Trustworthiness.
    @article{taiello:hal-04861654,
    TITLE = {{Privacy Preserving Image Registration}},
    AUTHOR = {Taiello, Riccardo and {\"O}nen, Melek and Capano, Francesco and Humbert, Olivier and Lorenzi, Marco},
    url-hal= {https://inria.hal.science/hal-04861654},
    JOURNAL = {{Medical Image Analysis}},
    PUBLISHER = {{Elsevier}},
    VOLUME = {94},
    PAGES = {103129},
    YEAR = {2024},
    MONTH = May,
    DOI = {10.1016/j.media.2024.103129},
    KEYWORDS = {Image Registration ; Trustworthiness},
    PDF = {https://inria.hal.science/hal-04861654v1/file/Privacy_Preserving_Multimodal_Image_Registration__Final_Rebuttal_.pdf},
    HAL_ID = {hal-04861654},
    HAL_VERSION = {v1},
    
    }
    


  11. 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..
    @article{thanwerdas:hal-03878729,
    TITLE = {{Permutation-invariant log-Euclidean geometries on full-rank correlation matrices}},
    AUTHOR = {Thanwerdas, Yann},
    url-hal= {https://hal.science/hal-03878729},
    JOURNAL = {{SIAM Journal on Matrix Analysis and Applications}},
    PUBLISHER = {{Society for Industrial and Applied Mathematics}},
    VOLUME = {45},
    NUMBER = {2},
    PAGES = {930-953},
    YEAR = {2024},
    MONTH = Apr,
    DOI = {10.1137/22M1538144},
    KEYWORDS = {SPD matrices ; elliptope ; correlation matrices ; log-Euclidean metric ; permutationinvariant ; cor-inversion ; off-log metric ; log-scaled metric ; quotient-affine metric AMS subject classifications.},
    PDF = {https://hal.science/hal-03878729v2/file/SIMAX_YT_Log_Euclidean_correlation_v3.pdf},
    HAL_ID = {hal-03878729},
    HAL_VERSION = {v2},
    
    }
    


  12. 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.
    @article{tourniaire:hal-04573158,
    TITLE = {{WhARIO: whole-slide-image-based survival analysis for patients treated with immunotherapy}},
    AUTHOR = {Tourniaire, Paul and Ilie, Marius and Mazi{\`e}res, Julien and Vigier, Anna and Ghiringhelli, Fran{\c c}ois and Piton, Nicolas and Sabourin, Jean-Christophe and Bibeau, Fr{\'e}d{\'e}ric and Hofman, Paul and Ayache, Nicholas and Delingette, Herv{\'e}},
    url-hal= {https://inria.hal.science/hal-04573158},
    JOURNAL = {{Journal of Medical Imaging}},
    PUBLISHER = {{SPIE Digital Library}},
    VOLUME = {11},
    NUMBER = {03},
    YEAR = {2024},
    MONTH = May,
    DOI = {10.1117/1.JMI.11.3.037502},
    KEYWORDS = {Lung cancer LC ; Whole slide image classification},
    PDF = {https://inria.hal.science/hal-04573158v1/file/WhARIO__Whole_slide_image_based_survival_Analysis_for_patients_tReated_with_ImmunOtherapy.pdf},
    HAL_ID = {hal-04573158},
    HAL_VERSION = {v1},
    
    }
    


  13. 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.
    @article{wang:hal-04696849,
    TITLE = {{Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation}},
    AUTHOR = {Wang, Zihao and Yang, Yingyu and Chen, Yuzhou and Yuan, Tingting and Sermesant, Maxime and Delingette, Herv{\'e} and Wu, Ona},
    url-hal= {https://hal.science/hal-04696849},
    JOURNAL = {{IEEE Transactions on Medical Imaging}},
    PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
    VOLUME = {43},
    NUMBER = {8},
    PAGES = {2825-2838},
    YEAR = {2024},
    MONTH = Mar,
    DOI = {10.1109/TMI.2024.3382043},
    KEYWORDS = {Zero-shot learning ; cross-modality translation ; diffusion model ; mutual information},
    HAL_ID = {hal-04696849},
    HAL_VERSION = {v1},
    
    }
    


  14. 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.
    @article{yang:hal-04841970,
    TITLE = {{Echocardiography Analysis with Deep Learning using Priors: Multi-centric Evaluation of Generalisation}},
    AUTHOR = {Yang, Yingyu and Rocher, Marie and Moceri, Pamela and Sermesant, Maxime},
    url-hal= {https://hal.science/hal-04841970},
    JOURNAL = {{Journal of Machine Learning for Biomedical Imaging}},
    PUBLISHER = {{Melba editors}},
    VOLUME = {2},
    NUMBER = {November 2024},
    PAGES = {2293-2325},
    YEAR = {2024},
    MONTH = Nov,
    DOI = {10.59275/j.melba.2024-58fd},
    KEYWORDS = {Image segmentation ; Image registration ; Generalisation of deep learning methods ; priors ; Echocardiography analysis},
    PDF = {https://hal.science/hal-04841970v1/file/MELBA2024_EchoAnalysis_final.pdf},
    HAL_ID = {hal-04841970},
    HAL_VERSION = {v1},
    
    }
    


  15. Nicholas Ayache and James S Duncan. Preface (Trustworthy AI in medical imaging). In Trustworthy AI in medical imaging. Academic Press, November 2024.
    @incollection{ayache:hal-04888570,
    TITLE = {{Preface (Trustworthy AI in medical imaging)}},
    AUTHOR = {Ayache, Nicholas and Duncan, James S},
    url-hal= {https://inria.hal.science/hal-04888570},
    BOOKTITLE = {{Trustworthy AI in medical imaging}},
    PUBLISHER = {{Academic Press}},
    YEAR = {2024},
    MONTH = Nov,
    PDF = {https://inria.hal.science/hal-04888570v1/file/Preface-2024-Lorenzi-ZuluagaCH0000_UN-2_Ayache_v1.pdf},
    HAL_ID = {hal-04888570},
    HAL_VERSION = {v1},
    
    }
    


  16. 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.
    @incollection{balelli:hal-04831368,
    TITLE = {{Causality: fundamental principles and tools}},
    AUTHOR = {Balelli, Irene and Al-Ali, Safaa and Dumas, Elise and Ab{\'e}cassis, Judith},
    url-hal= {https://hal.science/hal-04831368},
    BOOKTITLE = {{Trustworthy AI in Medical Imaging}},
    NUMBER = {Chapitre 14},
    PAGES = {297-314},
    YEAR = {2024},
    MONTH = Nov,
    KEYWORDS = {Causal learning ; Discovery ; Inference ; Bias ; Counfounder ; Counterfactual queries},
    PDF = {https://hal.science/hal-04831368v1/file/Chapter_14_causality.pdf},
    HAL_ID = {hal-04831368},
    HAL_VERSION = {v1},
    
    }
    


Conference articles

  1. Safaa Al-Ali, Maria T Mora, Maxime Sermesant, Beatriz Trénor, and Irene Balelli. Assessing Ionic Current Blockades and Electromechanical Biomarkers' Interrelations Through a Novel Multi-Channel Causal Variational Autoencoder. In IEEE, editor, Computing in Cardiology 2024, volume 51, Karlsruhe (Germany), Germany, September 2024. Keyword(s): Multi-channel, Variational auto-encoder, Torsade de pointes, Risk assesmant, Ion channel block, Electromechanical characteristics.
    @inproceedings{alali:hal-04607082,
    TITLE = {{Assessing Ionic Current Blockades and Electromechanical Biomarkers' Interrelations Through a Novel Multi-Channel Causal Variational Autoencoder}},
    AUTHOR = {Al-Ali, Safaa and T Mora, Maria and Sermesant, Maxime and Tr{\'e}nor, Beatriz and Balelli, Irene},
    url-hal= {https://hal.science/hal-04607082},
    BOOKTITLE = {{Computing in Cardiology 2024}},
    ADDRESS = {Karlsruhe (Germany), Germany},
    EDITOR = {IEEE},
    VOLUME = {51},
    NUMBER = {408},
    YEAR = {2024},
    MONTH = Sep,
    DOI = {10.22489/CinC.2024.408},
    KEYWORDS = {Multi-channel ; Variational auto-encoder ; Torsade de pointes ; Risk assesmant ; Ion channel block ; Electromechanical characteristics},
    PDF = {https://hal.science/hal-04607082v3/file/CinC2024-408.pdf},
    HAL_ID = {hal-04607082},
    HAL_VERSION = {v3},
    
    }
    


  2. Yves Coudière, Michael Leguèbe, Irene Balelli, Alessia Baretta, Guilhem Fauré, and Delphine Feuerstein. A Computer Model for In Silico Trials on Pacemaker Energy Efficiency. In Computing in Cardiology 2024, Karlsruhe, Germany, September 2024.
    @inproceedings{coudiere:hal-04886140,
    TITLE = {{A Computer Model for In Silico Trials on Pacemaker Energy Efficiency}},
    AUTHOR = {Coudi{\`e}re, Yves and Legu{\`e}be, Michael and Balelli, Irene and Baretta, Alessia and Faur{\'e}, Guilhem and Feuerstein, Delphine},
    url-hal= {https://hal.science/hal-04886140},
    BOOKTITLE = {{Computing in Cardiology 2024}},
    ADDRESS = {Karlsruhe, Germany},
    YEAR = {2024},
    MONTH = Sep,
    DOI = {10.22489/cinc.2024.235},
    PDF = {https://hal.science/hal-04886140v1/file/CinC2024-235.pdf},
    HAL_ID = {hal-04886140},
    HAL_VERSION = {v1},
    
    }
    


  3. Evariste Njomgue Fotso, Buntheng Ly, Hubert Cochet, and Maxime Sermesant. Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction. In STACOM 2024 - 15th Statistical Atlases and Computational Modeling of the Heart workshop (MICCAI 2024), Marrackech, Morocco, October 2024. Keyword(s): Sequential fusion, Multimodal deep learning, Arrythtmia, Medical imaging.
    @inproceedings{fotso:hal-04843518,
    TITLE = {{Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction}},
    AUTHOR = {Fotso, Evariste Njomgue and Ly, Buntheng and Cochet, Hubert and Sermesant, Maxime},
    url-hal= {https://inria.hal.science/hal-04843518},
    BOOKTITLE = {{STACOM 2024 - 15th Statistical Atlases and Computational Modeling of the Heart workshop (MICCAI 2024)}},
    ADDRESS = {Marrackech, Morocco},
    YEAR = {2024},
    MONTH = Oct,
    KEYWORDS = {Sequential fusion ; Multimodal deep learning ; Arrythtmia ; Medical imaging},
    PDF = {https://inria.hal.science/hal-04843518v1/file/Evariste_STACOM_2024_Final.pdf},
    HAL_ID = {hal-04843518},
    HAL_VERSION = {v1},
    
    }
    


  4. 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 PMLR-238 of International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain, Valencia, Spain, May 2024. Keyword(s): Federated learning, Machine unlearning, Optimization.
    @inproceedings{fraboni:hal-04839304,
    TITLE = {{SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization}},
    AUTHOR = {Fraboni, Yann and van Waerebeke, Martin and Vidal, Richard and Kameni, Laetitia and Scaman, Kevin and Lorenzi, Marco},
    url-hal= {https://hal.science/hal-04839304},
    BOOKTITLE = {{PMLR proceedings}},
    ADDRESS = {Valencia, Spain},
    SERIES = {International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain},
    VOLUME = {PMLR-238},
    YEAR = {2024},
    MONTH = May,
    KEYWORDS = {Federated learning ; Machine unlearning ; Optimization},
    PDF = {https://hal.science/hal-04839304v1/file/2211.11656v5.pdf},
    HAL_ID = {hal-04839304},
    HAL_VERSION = {v1},
    
    }
    


  5. Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, and Maria A Zuluaga. Federated Multi-centric Image Segmentation with Uneven Label Distribution. In Lecture Notes in Computer Science, volume LNCS-15010, Marrakesh, Morocco, pages 350-360, October 2024. Springer, Springer Nature Switzerland. Keyword(s): Missing Labels, Domain Adaptation, Federated Learning, Image Segmentation.
    @inproceedings{galati:hal-04730834,
    TITLE = {{Federated Multi-centric Image Segmentation with~Uneven Label Distribution}},
    AUTHOR = {Galati, Francesco and Cortese, Rosa and Prados, Ferran and Lorenzi, Marco and Zuluaga, Maria A},
    url-hal= {https://hal.science/hal-04730834},
    BOOKTITLE = {{Lecture Notes in Computer Science}},
    ADDRESS = {Marrakesh, Morocco},
    ORGANIZATION = {{Springer}},
    PUBLISHER = {{Springer Nature Switzerland}},
    VOLUME = {LNCS-15010},
    PAGES = {350-360},
    YEAR = {2024},
    MONTH = Oct,
    DOI = {10.1007/978-3-031-72117-5\_33},
    KEYWORDS = {Missing Labels ; Domain Adaptation ; Federated Learning ; Image Segmentation},
    PDF = {https://hal.science/hal-04730834v1/file/0368_paper.pdf},
    HAL_ID = {hal-04730834},
    HAL_VERSION = {v1},
    
    }
    


  6. 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 Lecture notes in computer science, 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.
    @inproceedings{guzzi:hal-04592007,
    TITLE = {{Differentiable Soft Morphological Filters for Medical Image Segmentation}},
    AUTHOR = {Guzzi, Lisa and Zuluaga, Maria A. and Lareyre, Fabien and Di Lorenzo, Gilles and Goffart, S{\'e}bastien and Chierici, Andrea and Raffort, Juliette and Delingette, Herv{\'e}},
    url-hal= {https://hal.science/hal-04592007},
    BOOKTITLE = {{Lecture notes in computer science}},
    ADDRESS = {Marrakesh, Morocco},
    SERIES = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024 27th International Conference, Marrakesh, Morocco, October 6--10, 2024, Proceedings, Part VIII},
    VOLUME = {LNCS-15008},
    YEAR = {2024},
    MONTH = Oct,
    KEYWORDS = {Image Segmentation ; Morphological Operations ; Deep Learning},
    PDF = {https://hal.science/hal-04592007v2/file/Guzzi_MICCAI_hal_version.pdf},
    HAL_ID = {hal-04592007},
    HAL_VERSION = {v2},
    
    }
    


  7. 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.
    @inproceedings{harrison:hal-04820475,
    TITLE = {{Improving Neural Network Surface Processing with Principal Curvatures}},
    AUTHOR = {Harrison, Josquin and Benn, James and Sermesant, Maxime},
    url-hal= {https://hal.science/hal-04820475},
    BOOKTITLE = {{NeurIPS Proceedings}},
    ADDRESS = {Vancouver, Canada},
    VOLUME = {2024},
    YEAR = {2024},
    MONTH = Dec,
    KEYWORDS = {Surface processing ; Deep learning},
    PDF = {https://hal.science/hal-04820475v1/file/Curvature-12.pdf},
    HAL_ID = {hal-04820475},
    HAL_VERSION = {v1},
    
    }
    


  8. Guillaume Olikier. Retractions on closed sets. In IFAC-PapersOnLine, volume 58, Cambridge (GB), United Kingdom, pages 286-291, August 2024. Keyword(s): retraction, tangent cones, stationarity, line-search methods, low-rank optimization.
    @inproceedings{olikier:hal-04581498,
    TITLE = {{Retractions on closed sets}},
    AUTHOR = {Olikier, Guillaume},
    url-hal= {https://inria.hal.science/hal-04581498},
    BOOKTITLE = {{IFAC-PapersOnLine}},
    ADDRESS = {Cambridge (GB), United Kingdom},
    VOLUME = {58},
    NUMBER = {17},
    PAGES = {286-291},
    YEAR = {2024},
    MONTH = Aug,
    DOI = {10.1016/j.ifacol.2024.10.183},
    KEYWORDS = {retraction ; tangent cones ; stationarity ; line-search methods ; low-rank optimization},
    HAL_ID = {hal-04581498},
    HAL_VERSION = {v1},
    
    }
    


  9. 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 IEEE Xplore, volume 51, Karlsruhe (Allemagne), Germany, September 2024. Keyword(s): Cardiac Modeling, Partial Differential Equations, Simulation, Electrophysiology.
    @inproceedings{rodriguezpadilla:hal-04840667,
    TITLE = {{Personalisation of Action Potentials Based on Activation Recovery Intervals in Post Infarcted Pigs: A Simulation Study}},
    AUTHOR = {Rodr{\'i}guez-Padilla, Jairo and Silva, Rafael and Ly, Buntheng and Pop, Mihaela and Sermesant, Maxime},
    url-hal= {https://inria.hal.science/hal-04840667},
    BOOKTITLE = {{IEEE Xplore}},
    ADDRESS = {Karlsruhe (Allemagne), Germany},
    VOLUME = {51},
    YEAR = {2024},
    MONTH = Sep,
    KEYWORDS = {Cardiac Modeling ; Partial Differential Equations ; Simulation ; Electrophysiology},
    PDF = {https://inria.hal.science/hal-04840667v1/file/Manuscript.pdf},
    HAL_ID = {hal-04840667},
    HAL_VERSION = {v1},
    
    }
    


  10. Rafael Silva, Jairo Rodrìguez-Padilla, Mihaela Pop, and Maxime Sermesant. Automatic Analysis of Activation Recovery Interval in Heterogeneous Fibrotic Tissue from Chronically Infarcted Swine. In Computing in Cardiology, volume 51, Karlsruhe, Germany, September 2024.
    @inproceedings{silva:hal-04693691,
    TITLE = {{Automatic Analysis of Activation Recovery Interval in Heterogeneous Fibrotic Tissue from Chronically Infarcted Swine}},
    AUTHOR = {Silva, Rafael and Rodr{\'i}guez-Padilla, Jairo and Pop, Mihaela and Sermesant, Maxime},
    url-hal= {https://hal.science/hal-04693691},
    BOOKTITLE = {{Computing in Cardiology}},
    ADDRESS = {Karlsruhe, Germany},
    VOLUME = {51},
    YEAR = {2024},
    MONTH = Sep,
    DOI = {10.22489/CinC.2024.417},
    PDF = {https://hal.science/hal-04693691v2/file/CinC2024-417.pdf},
    HAL_ID = {hal-04693691},
    HAL_VERSION = {v2},
    
    }
    


  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. In IEEE, editor, 2024 Computing in Cardiology, volume 51, Karlsruhe (Germany), Germany, pages 1-4, September 2024. Keyword(s): ECG, Image Processing and Computer Vision, Denoising Image, ECG Digitization.
    @inproceedings{silva:hal-04684731,
    TITLE = {{YOUR-Lead: YOLO and U-Net for Reconstruction of ECG Lead Signals}},
    AUTHOR = {Silva, Rafael and Yang, Yingyu and Morier, Ma{\"e}lis and Al-Ali, Safaa and Sermesant, Maxime},
    url-hal= {https://hal.science/hal-04684731},
    BOOKTITLE = {{2024 Computing in Cardiology}},
    ADDRESS = {Karlsruhe (Germany), Germany},
    EDITOR = {IEEE},
    VOLUME = {51},
    PAGES = {1-4},
    YEAR = {2024},
    MONTH = Sep,
    DOI = {10.22489/CinC.2024.372},
    KEYWORDS = {ECG ; Image Processing and Computer Vision ; Denoising Image ; ECG Digitization},
    PDF = {https://hal.science/hal-04684731v1/file/372_Preprint.pdf},
    HAL_ID = {hal-04684731},
    HAL_VERSION = {v1},
    
    }
    


  12. 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. SPIE. Keyword(s): Multiple Sclerosis, Magnetic Resonance Imaging, Positron Emission Tomography, Myelin, Generative Adversarial Network, Curriculum Learning, Image synthesis.
    @inproceedings{soulier:hal-04362506,
    TITLE = {{Generating PET-derived maps of myelin content from clinical MRI using curricular discriminator training in generative adversarial networks}},
    AUTHOR = {Soulier, Th{\'e}odore and Hamzaoui, Mariem and Sales Pitombeira, Milena and De Paula Faria, Daniele and Yazdan-Panah, Arya and Tonietto, Matteo and Leroy, Claire and Bottlaender, Michel and Bodini, Benedetta and Burgos, Ninon and Ayache, Nicholas and Colliot, Olivier and Stankoff, Bruno},
    url-hal= {https://hal.sorbonne-universite.fr/hal-04362506},
    BOOKTITLE = {{SPIE Medical Imaging}},
    ADDRESS = {San Diego, United States},
    PUBLISHER = {{SPIE}},
    YEAR = {2024},
    MONTH = Feb,
    DOI = {10.1117/12.3004975},
    KEYWORDS = {Multiple Sclerosis ; Magnetic Resonance Imaging ; Positron Emission Tomography ; Myelin ; Generative Adversarial Network ; Curriculum Learning ; Image synthesis},
    PDF = {https://hal.sorbonne-universite.fr/hal-04362506v1/file/SPIE_2024___MyelinGAN-2.pdf},
    HAL_ID = {hal-04362506},
    HAL_VERSION = {v1},
    
    }
    


  13. Riccardo Taiello, Cansiz Sergen, Vesin Marc, Cremonesi Francesco, Innocenti Lucia, Önen Melek, and Marco Lorenzi. Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications. In Springer, editor, Lecture notes in computer science, volume LNCS-15274 of Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024 Workshops, Marrachech, Morocco, pages 204-214, October 2024. Keyword(s): Federated Learning, Secure Aggregation, Healthcare Applications.
    @inproceedings{taiello:hal-04855481,
    TITLE = {{Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications}},
    AUTHOR = {Taiello, Riccardo and Sergen, Cansiz and Marc, Vesin and Francesco, Cremonesi and Lucia, Innocenti and Melek, {\"O}nen and Lorenzi, Marco},
    url-hal= {https://inria.hal.science/hal-04855481},
    BOOKTITLE = {{Lecture notes in computer science}},
    ADDRESS = {Marrachech, Morocco},
    EDITOR = {Springer},
    SERIES = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024 Workshops},
    VOLUME = {LNCS-15274},
    PAGES = {204--214},
    YEAR = {2024},
    MONTH = Oct,
    DOI = {10.1007/978-3-031-77610-6\_19},
    KEYWORDS = {Federated Learning ; Secure Aggregation ; Healthcare Applications},
    PDF = {https://inria.hal.science/hal-04855481v1/file/2409.00974v1.pdf},
    HAL_ID = {hal-04855481},
    HAL_VERSION = {v1},
    
    }
    


  14. Riccardo Taiello, Melek Önen, Clémentine Gritti, and Marco Lorenzi. Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers. In ACM Digital Library, 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.
    @inproceedings{taiello:hal-04742784,
    TITLE = {{Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers}},
    AUTHOR = {Taiello, Riccardo and {\"O}nen, Melek and Gritti, Cl{\'e}mentine and Lorenzi, Marco},
    url-hal= {https://hal.science/hal-04742784},
    BOOKTITLE = {{ACM Digital Library}},
    ADDRESS = {Vienna, Austria},
    PUBLISHER = {{ACM}},
    SERIES = {ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security},
    NUMBER = {13},
    PAGES = {1-12},
    YEAR = {2024},
    MONTH = Jul,
    DOI = {10.1145/3664476.3664488},
    KEYWORDS = {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},
    PDF = {https://hal.science/hal-04742784v1/file/3664476.3664488.pdf},
    HAL_ID = {hal-04742784},
    HAL_VERSION = {v1},
    
    }
    


  15. Alessandro Viani, Boris A Gutman, Emile d'Angremont, and Marco Lorenzi. Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling. In LDTM 2024 - Longitudinal Disease Tracking and Modelling with Medical Images and Data (MICCCAI 2024), Marrachech, Morocco, October 2024. Keyword(s): Disease Progression Modelling, Expectation Maximisation, Parkinson Disease.
    @inproceedings{viani:hal-04833565,
    TITLE = {{Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling}},
    AUTHOR = {Viani, Alessandro and Gutman, Boris A and d'Angremont, Emile and Lorenzi, Marco},
    url-hal= {https://hal.science/hal-04833565},
    BOOKTITLE = {{LDTM 2024 - Longitudinal Disease Tracking and Modelling with Medical Images and Data (MICCCAI 2024)}},
    ADDRESS = {Marrachech, Morocco},
    YEAR = {2024},
    MONTH = Oct,
    KEYWORDS = {Disease Progression Modelling ; Expectation Maximisation ; Parkinson Disease},
    PDF = {https://hal.science/hal-04833565v1/file/dpmost.pdf},
    HAL_ID = {hal-04833565},
    HAL_VERSION = {v1},
    
    }
    


  16. 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 Lecture notes in computer science, volume LNCS-, Marrakesh, Morocco, October 2024. Note: Held in conjunction with the MICCAI 2024. Keyword(s): Cardiotoxicity, Arrhythmia, Fibrosis, Computational Modeling, Simulation.
    @inproceedings{villarvalero:hal-04840698,
    TITLE = {{Exploring Chemotherapy-Induced Cardiotoxicity Combining A 3D Computational Model and Preclinical Cardiac Imaging Data}},
    AUTHOR = {Villar-Valero, Javier and Rodr{\'i}guez Padilla, Jesus Jairo and Ly, Buntheng and Gomez, Juan F and Pop, Mihaela and Trenor, Beatriz and Sermesant, Maxime},
    url-hal= {https://inria.hal.science/hal-04840698},
    NOTE = {held in conjunction with the MICCAI 2024},
    BOOKTITLE = {{Lecture notes in computer science}},
    ADDRESS = {Marrakesh, Morocco},
    VOLUME = {LNCS-},
    YEAR = {2024},
    MONTH = Oct,
    KEYWORDS = {Cardiotoxicity ; Arrhythmia ; Fibrosis ; Computational Modeling ; Simulation},
    PDF = {https://inria.hal.science/hal-04840698v1/file/Stacom2024_DOXO_revised.pdf},
    HAL_ID = {hal-04840698},
    HAL_VERSION = {v1},
    
    }
    


  17. Yingyu Yang, Marie Rocher, Pamela Moceri, and Maxime Sermesant. Uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and Electrocardiograms. In Lecture Notes in Computer Science, 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.
    @inproceedings{yang:hal-04776612,
    TITLE = {{Uncertainty-Based Multi-modal Learning for~Myocardial Infarction Diagnosis Using Echocardiography and~Electrocardiograms}},
    AUTHOR = {Yang, Yingyu and Rocher, Marie and Moceri, Pamela and Sermesant, Maxime},
    url-hal= {https://hal.science/hal-04776612},
    BOOKTITLE = {{Lecture Notes in Computer Science}},
    ADDRESS = {Marrakech, Morocco},
    PUBLISHER = {{Springer Nature Switzerland}},
    SERIES = {Simplifying Medical Ultrasound : 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings},
    VOLUME = {LNCS-15186},
    PAGES = {177-186},
    YEAR = {2024},
    MONTH = Oct,
    DOI = {10.1007/978-3-031-73647-6\_17},
    KEYWORDS = {Multi-modal classification ; Echocardiography ; Electrocardiogram},
    PDF = {https://hal.science/hal-04776612v1/file/Final.pdf},
    HAL_ID = {hal-04776612},
    HAL_VERSION = {v1},
    
    }
    


Miscellaneous

  1. Silva Rafael, Caroline Stehlé, and Maxime Sermesant. Artificial Intelligence for Automated Cardiac Defibrillation in Embedded Systems. SophIA Summit 2024, November 2024. Note: Poster.
    @misc{rafael:hal-04871976,
    TITLE = {{Artificial Intelligence for Automated Cardiac Defibrillation in Embedded Systems}},
    AUTHOR = {Rafael, Silva and Stehl{\'e}, Caroline and Sermesant, Maxime},
    url-hal= {https://hal.science/hal-04871976},
    NOTE = {Poster},
    HOWPUBLISHED = {{SophIA Summit 2024}},
    PUBLISHER = {{Zenodo}},
    YEAR = {2024},
    MONTH = Nov,
    DOI = {10.5281/zenodo.14251333},
    PDF = {https://hal.science/hal-04871976v1/file/rafael_sophiasummit2024_poster.pdf},
    HAL_ID = {hal-04871976},
    HAL_VERSION = {v1},
    
    }
    


  2. Rafael Silva, Jairo Rodrìguez-Padilla, Mihaela Pop, and Maxime Sermesant. Activation Recovery Interval for Personalized Cardiac Assessment. CinC 2024 - (&th international Computing in Cardiology, September 2024. Note: Poster.
    @misc{silva:hal-04871966,
    TITLE = {{Activation Recovery Interval for Personalized Cardiac Assessment}},
    AUTHOR = {Silva, Rafael and Rodr{\'i}guez-Padilla, Jairo and Pop, Mihaela and Sermesant, Maxime},
    url-hal= {https://hal.science/hal-04871966},
    NOTE = {Poster},
    HOWPUBLISHED = {{CinC 2024 - (\&th international Computing in Cardiology}},
    PUBLISHER = {{Zenodo}},
    YEAR = {2024},
    MONTH = Sep,
    DOI = {10.5281/zenodo.13741173},
    PDF = {https://hal.science/hal-04871966v1/file/cinc2024_poster_ari.pdf},
    HAL_ID = {hal-04871966},
    HAL_VERSION = {v1},
    
    }
    


  3. 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.
    @unpublished{alali:hal-04666466,
    TITLE = {{Multi-Channel Causal Variational Autoencoder}},
    AUTHOR = {Al-Ali, Safaa and Balelli, Irene},
    url-hal= {https://hal.science/hal-04666466},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Aug,
    KEYWORDS = {Multi-channel ; Causal discovery ; Variational Autoencoder},
    PDF = {https://hal.science/hal-04666466v1/file/Preprint_MC2VAE_SA_IB.pdf},
    HAL_ID = {hal-04666466},
    HAL_VERSION = {v1},
    
    }
    


  4. James Benn and Stephen Marsland. The Geometry of Right-Invariant Metrics. Note: Working paper or preprint, May 2024.
    @unpublished{benn:hal-04360903,
    TITLE = {{The Geometry of Right-Invariant Metrics}},
    AUTHOR = {Benn, James and Marsland, Stephen},
    url-hal= {https://hal.science/hal-04360903},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = May,
    PDF = {https://hal.science/hal-04360903v2/file/version2.pdf},
    HAL_ID = {hal-04360903},
    HAL_VERSION = {v2},
    
    }
    


  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.
    @unpublished{calissano:hal-04609816,
    TITLE = {{On the Implementation of Geodesic Metric Spaces}},
    AUTHOR = {Calissano, Anna and Pereira, Lu{\'i}s F and Lueg, Jonas and Miolane, Nina},
    url-hal= {https://inria.hal.science/hal-04609816},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Jun,
    KEYWORDS = {geodesic metric spaces ; BHV space ; tree-valued data ; graph-valued data ; geometric data analysis},
    PDF = {https://inria.hal.science/hal-04609816v1/file/Beyond_Manifold_Implementation.pdf},
    HAL_ID = {hal-04609816},
    HAL_VERSION = {v1},
    
    }
    


  6. 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. Note: Working paper or preprint, December 2024. Keyword(s): Computer-Assisted Surgery, Computer vision, Surgical instrument detection, Instrument segmentation, Robotic surgery, YoloV8.
    @unpublished{frey:hal-04845670,
    TITLE = {{Optimizing Intraoperative AI: Evaluation of YOLOv8 for Real-Time Recognition of Robotic and Laparoscopic Instruments}},
    AUTHOR = {Frey, S{\'e}bastien and Facente, Federica and Wei, Wen and Ekmekci, Ezem Sura and S{\'e}jor, Eric and Baqu{\'e}, Patrick and Durand, Matthieu and Delingette, Herv{\'e} and Bremond, Francois and Berthet-Rayne, Pierre and Ayache, Nicholas},
    url-hal= {https://hal.science/hal-04845670},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Dec,
    DOI = {10.21203/rs.3.rs-5500374/v1},
    KEYWORDS = {Computer-Assisted Surgery ; Computer vision ; Surgical instrument detection ; Instrument segmentation ; Robotic surgery ; YoloV8},
    HAL_ID = {hal-04845670},
    HAL_VERSION = {v1},
    
    }
    


  7. Guillaume Olikier and P. -A. Absil. Computing Bouligand stationary points efficiently in low-rank optimization. Note: Working paper or preprint, September 2024. Keyword(s): convergence analysis, stationary point, critical point, low-rank optimization, determinantal variety, first-order method, tangent cones, singular value decomposition, QR factorization.
    @unpublished{olikier:hal-04866009,
    TITLE = {{Computing Bouligand stationary points efficiently in low-rank optimization}},
    AUTHOR = {Olikier, Guillaume and Absil, P. -A.},
    url-hal= {https://inria.hal.science/hal-04866009},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Sep,
    KEYWORDS = {convergence analysis ; stationary point ; critical point ; low-rank optimization ; determinantal variety ; first-order method ; tangent cones ; singular value decomposition ; QR factorization},
    PDF = {https://inria.hal.science/hal-04866009v1/file/2409.12298v1.pdf},
    HAL_ID = {hal-04866009},
    HAL_VERSION = {v1},
    
    }
    


  8. Guillaume Olikier, Kyle A. Gallivan, and P. -A. Absil. Low-rank optimization methods based on projected-projected gradient descent that accumulate at Bouligand stationary points. Note: Working paper or preprint, June 2024. Keyword(s): convergence analysis, convergence analysis, stationary point, critical point, low-rank optimization, determinantal variety, steepest descent, tangent and normal cones, Clarke regularity.
    @unpublished{olikier:hal-04865950,
    TITLE = {{Low-rank optimization methods based on projected-projected gradient descent that accumulate at Bouligand stationary points}},
    AUTHOR = {Olikier, Guillaume and Gallivan, Kyle A. and Absil, P. -A.},
    url-hal= {https://inria.hal.science/hal-04865950},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Jun,
    KEYWORDS = {convergence analysis ; convergence analysis ; stationary point ; critical point ; low-rank optimization ; determinantal variety ; steepest descent ; tangent and normal cones ; Clarke regularity},
    PDF = {https://inria.hal.science/hal-04865950v1/file/2201.03962v2.pdf},
    HAL_ID = {hal-04865950},
    HAL_VERSION = {v1},
    
    }
    


  9. 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.
    @unpublished{olikier:hal-04588622,
    TITLE = {{Projected gradient descent accumulates at Bouligand stationary points}},
    AUTHOR = {Olikier, Guillaume and Waldspurger, Ir{\`e}ne},
    url-hal= {https://hal.science/hal-04588622},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = May,
    KEYWORDS = {Projected gradient descent ; Stationarity ; Tangent and normal cones ; Clarke regularity},
    PDF = {https://hal.science/hal-04588622v1/file/2403.02530v1.pdf},
    HAL_ID = {hal-04588622},
    HAL_VERSION = {v1},
    
    }
    


  10. Dimbihery Rabenoro and Xavier Pennec. A geometric framework for asymptotic inference of principal subspaces in PCA. Note: Working paper or preprint, November 2024.
    @unpublished{rabenoro:hal-03842125,
    TITLE = {{A geometric framework for asymptotic inference of principal subspaces in PCA}},
    AUTHOR = {Rabenoro, Dimbihery and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-03842125},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Nov,
    PDF = {https://inria.hal.science/hal-03842125v2/file/2208.02025v3.pdf},
    HAL_ID = {hal-03842125},
    HAL_VERSION = {v2},
    
    }
    


  11. 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.
    @unpublished{rabenoro:hal-04232479,
    TITLE = {{Effective formulas for the geometry of normal homogeneous spaces. Application to flag manifolds}},
    AUTHOR = {Rabenoro, Dimbihery and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-04232479},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Dec,
    PDF = {https://inria.hal.science/hal-04232479v2/file/FlagGeometry.pdf},
    HAL_ID = {hal-04232479},
    HAL_VERSION = {v2},
    
    }
    


  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.
    @unpublished{szwagier:hal-04171853,
    TITLE = {{The curse of isotropy: from principal components to principal subspaces}},
    AUTHOR = {Szwagier, Tom and Pennec, Xavier},
    url-hal= {https://inria.hal.science/hal-04171853},
    NOTE = {working paper or preprint},
    YEAR = {2024},
    MONTH = Aug,
    DOI = {10.48550/arXiv.2307.15348},
    KEYWORDS = {Principal Component Analysis ; Isotropy ; Interpretability ; Parsimonious Models ; Flag Manifolds},
    PDF = {https://inria.hal.science/hal-04171853v3/file/Curse_of_Isotropy.pdf},
    HAL_ID = {hal-04171853},
    HAL_VERSION = {v3},
    
    }
    



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