Benjamin Lemasson
Présentation
Medical imaging has grown considerably over the last 20 years, especially with the democratization of MRI in both clinical and preclinical settings. These technological developments have been accompanied by the development of new analytical methods that allow the manual or automatic extraction of quantitative information from these images. Finally, many studies have shown correlations between some of these metrics and a diagnosis or pathological evolution. These metrics are commonly referred to as imaging biomarkers.
My work focuses on the development and validation of novel imaging biomarkers in clinical and preclinical studies. More specifically, my research focuses on i) the development and validation of new MRI acquisition methods, ii) the development of medical imaging analysis methods based on artificial intelligence tools such as machine learning and/or deep learning, and iii) the development of software tools to facilitate the routine preclinical and clinical use of all these developments. Although the majority of my published work focuses on MRI and glioblastoma (preclinical/clinical), my current and future research will focus on other imaging modalities (including CT) and other pathologies (traumatic brain injury and stroke).
Publications
Publications
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VesselVerse: A Dataset and Collaborative Framework for Vessel AnnotationMICCAI 2025, 28th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, Sep 2025, Daejon, South Korea. pp.655-665, ⟨10.1007/978-3-032-05169-1_63⟩ |
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Nouveaux développements sur l’IRM Fingerprint VasculaireSociété Française de Résonance Magnétique en Biologie et Médecine, Mar 2025, Saint Malo, France, France |
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Advanced MR vascular FingerprintingInternational Society for Magnetic Resonance in Medicine, May 2025, Honolulu (Hawaii), USA, United States. ⟨10.1038/nature11971⟩ |
Long term in vivo magnetic resonance imaging of injectable self-healing hydrogels based on hyaluronic acid for cell therapy18th European Molecular Imaging Meeting (EMIM), Mar 2023, Salzburg, Austria |
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Using 3D realistic blood vessel structures machine learning for MR vascular FingerprintingJoint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London Bound 2022, May 2022, London, United Kingdom. pp.Abstract #2592 |
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Searching for an MR Fingerprinting sequence to measure brain oxygenation without contrast agentISMRM 31st Annual Meeting & Exhibition, May 2022, London, United Kingdom |
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IMPACT OF MULTICENTER HARMONIZATION ON THE DETECTION OF RADIONECROSIS IN MULTIMODAL MRI RADIOMICS STUDYInternational Symposium on Biomedical Imaging, Apr 2021, Nice (virtual), France |
Towards optimizing MR vascular fingerprintingISMRM & SMRT Virtual Conference & Exhibition, May 2021, Vancouver, Canada |
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Optimizing signal patterns for MR vascular fingerprintingISMRM & SMRT 2020 - Virtual Conference & Exhibition, Aug 2020, Sidney, Australia. pp.1-3 |
Bayesian mixtures of multiple scale distributions2019 - 26th Summer Working Group on Model-Based Clustering, Jul 2019, Vienna, Austria |
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MR imaging of theranostic Gd-based Aguix nanoparticles in patients with 4 histological types of brain metastasisProceedings Contrast Media Research Symposium, 2019, Erice (IT), Nov 2019, Erice, Italy |
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Component elimination strategies to fit mixtures of multiple scale distributionsRSSDS 2019 - Research School on Statistics and Data Science, Jul 2019, Melbourne, Australia. pp.81-95, ⟨10.1007/978-981-15-1960-4_6⟩ |
First-in-human trial of Gd-based theranostic nanoparticles: MRI assessment of uptake and biodistribution in patients with multiple brain metastases14th European Molecular Imaging Meeting – EMIM 2019, Mar 2019, Glasgow, United Kingdom |
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First-in-human trial of Gd-based theranostic nanoparticles: MRI assessment of uptake and biodistribution in patients with multiple brain metastasesISMRM 27th Annual Meeting & Exhibition, May 2019, Montréal, Canada |
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Bayesian mixtures of multiple scale distributionsCMStatistics 2018 - 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2018, Pisa, Italy |
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Structured Mixture of linear mappings in high dimensionJSM 2017 - Joint Statistical Meeting, Jul 2017, Baltimore, MA, United States |
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Suivi de l'hétérogénéité de la croissance des gliomes par IRM multiparamétrique analysée par clusteringSFRMBM Societe Francaise de Resonance Magnetique en Biologie et Medecine, Mar 2017, Bordeaux, France |
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Monitoring glioma heterogeneity during tumor growth using clustering analysis of multiparametric MRI dataISMRM International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States |
Suivi de l'hétérogénéité de la croissance de 4 modèles de gliomes par IRM multiparamétrique analysée par clusteringCongrès national de l’imagerie du vivant, Nov 2017, Paris, France |
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Mélanges de lois de Student multivariées généralisées : application à la caractérisation de tumeurs par IRM multiparamétrique2ème congrès de la SFRMBM (Société Française de Résonance Magnétique en Biologie et Médecine), Mar 2015, Grenoble, France |
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Multivariate Multi-scaled Student Distributions : brain tumor characterization from multiparametric MRIStatistique Mathématique et Applications 2015, Aug 2015, Fréjus, France |
Segmentation des tumeurs cérébrales de bas grade par une approche bayésienne : délinéation manuelle versus automatique2ème congrès de la SFRMBM (Société Française de Résonance Magnétique en Biologie et Médecine), Mar 2015, Grenoble, France |
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Paquet R pour l'estimation d'un mélange de lois de Student multivariées à échelles multiplesQuatrièmes Rencontres R, Jun 2015, Grenoble, France |
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Tumor classification and prediction using robust multivariate clustering of multiparametric MRIInternational Society for Magnetic Resonance in Medicine, May 2015, Toronto, Canada |
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Mélanges de lois de Student à Échelles Multiples pour la caractérisation de tumeurs par IRM multiparamétrique47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France |
Comparison of manual versus automatic delineation of low-grade gliomas based on MR brain scansOrganization for Human Brain Mapping (OHBM) 2014 Annual meeting, Jun 2014, Hambourg, Germany |
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FASTDIAG-TC: Outcome Prediction for Traumatic Brain Injuries: Multimodal AI Combining Clinical Data and CT ScansIABM 2025 - 3e édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2025, Nice, France |
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Semi-automated approach for quality control and harmonization of large multiparametric and multicenter MRI databases: methodology and applicationSFRMBM 2025 - 7ème congrès de la Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2025, Saint-Malo, France. pp.1-1, 2025 |
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Segmentation d'IRM multimodales par réseaux de neurones : Stratégies de transfert d'apprentissage pour des ensembles de données de taille limitéeIABM 2024 - Colloque français d’intelligence artificielle en imagerie biomédicale, Mar 2024, Grenoble, France. pp.1-1, 2024 |
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Radiation-induced neurotoxicity assessed by spatio-temporal modelling combined with artificial Intelligence after brain radiotherapy: the RADIO-AIDE projectISoRED 2023 - International Society for Radiation Epidemiology and Dosimetry 1st meeting, May 2023, Sitges, Spain. 2023 |
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Optimisation des patterns de signaux pour l'IRM Fingerprinting VasculaireSFRMBM 2021 - 5ème Congrès scientifique de la Société Française de Résonance Magnétique en Biologie et Médecine, Sep 2021, Lyon, France. pp.1-1, 2021 |
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Monitoring brain tumor evolution using multiparametric MRI2017 IEEE International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia |
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Mélanges de lois de Student multivariées généralisées : application a la caractérisation de tumeurs par IRM multiparamétriqueForum de la Recherche en Cancérologie Rhône-Alpes Auvergne, Apr 2015, Lyon, France. |
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Enhancing MR vascular Fingerprinting through realistic microvascular geometries2024 |
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Bayesian mixtures of multiple scale distributions2019 |
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Structured Mixture of Linear Mappings in High Dimension2018 |
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Evaluation de l'IRM multiparamétrique comme indicateur de l'effet de thérapies anti-angiogéniques sur des modèles de gliomes implantés chez le ratImagerie. Université de Grenoble, 2010. Français. ⟨NNT : ⟩ |