
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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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. 2025
Poster de conférence
hal-05018789
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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
Poster de conférence
hal-04541089
v1
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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
Poster de conférence
irsn-04200854
v1
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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
Poster de conférence
hal-03418716
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Monitoring brain tumor evolution using multiparametric MRI2017 IEEE International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia
Poster de conférence
hal-01652026
v1
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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.
Poster de conférence
hal-01253576
v1
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MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs2024
Pré-publication, Document de travail
hal-04647024
v1
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Enhancing MR vascular Fingerprinting through realistic microvascular geometries2024
Pré-publication, Document de travail
hal-04107446
v2
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Bayesian mixtures of multiple scale distributions2019
Pré-publication, Document de travail
hal-01953393
v3
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Structured Mixture of Linear Mappings in High Dimension2018
Pré-publication, Document de travail
hal-01700053
v1
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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
Communication dans un congrès
hal-04896446
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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
Communication dans un congrès
hal-03684105
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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
Communication dans un congrès
hal-03670697
v1
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Towards optimizing MR vascular fingerprintingISMRM & SMRT Virtual Conference & Exhibition, May 2021, Vancouver, Canada
Communication dans un congrès
hal-03259368
v1
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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
Communication dans un congrès
hal-03178208
v1
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Optimizing signal patterns for MR vascular fingerprintingISMRM & SMRT 2020 - Virtual Conference & Exhibition, Aug 2020, Sidney, Australia. pp.1-3
Communication dans un congrès
hal-02926840
v1
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Bayesian mixtures of multiple scale distributions2019 - 26th Summer Working Group on Model-Based Clustering, Jul 2019, Vienna, Austria
Communication dans un congrès
hal-02423638
v1
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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
Communication dans un congrès
hal-04998567
v1
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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
Communication dans un congrès
hal-03404444
v1
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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
Communication dans un congrès
hal-03356469
v1
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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⟩
Communication dans un congrès
hal-02415090
v1
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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
Communication dans un congrès
hal-03356567
v1
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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
Communication dans un congrès
hal-01941682
v1
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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
Communication dans un congrès
hal-01652033
v1
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Structured Mixture of linear mappings in high dimensionJSM 2017 - Joint Statistical Meeting, Jul 2017, Baltimore, MA, United States
Communication dans un congrès
hal-01653601
v1
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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
Communication dans un congrès
hal-01652300
v1
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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
Communication dans un congrès
hal-01652029
v1
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Multivariate Multi-scaled Student Distributions : brain tumor characterization from multiparametric MRIStatistique Mathématique et Applications 2015, Aug 2015, Fréjus, France
Communication dans un congrès
hal-01253595
v1
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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
Communication dans un congrès
hal-01107483
v1
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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
Communication dans un congrès
hal-01253584
v1
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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
Communication dans un congrès
hal-01253593
v1
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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
Communication dans un congrès
hal-01107520
v1
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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
Communication dans un congrès
hal-01253588
v1
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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
Communication dans un congrès
hal-01107700
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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 : ⟩
Thèse
tel-00908915
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