The unit Diagnosis and International Adaptive Imaging (IADI) is an Inserm unit (U1254), whose speciality is developping various techniques and methods to improve imaging of moving organs. Its research covers several research domains: the MR physics and the acquisition of MR images, the clinical methodology and validations.
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Florent Le Ven, Jean Nicolas Dacher, François Pontana, Gilles Barone-Rochette, Laurent Macron, et al.. Position paper on stress cardiac magnetic resonance imaging in chronic coronary syndrome: Endorsed by the Société française de radiologie (SFR), the Société française d’imagerie cardiovasculaire (SFICV) and the Société française de cardiologie (SFC). Archives of cardiovascular diseases, 2021, S1875-2136 (21), pp.00062-0. ⟨10.1016/j.acvd.2021.02.004⟩. ⟨inserm-03207180⟩
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Karyna Isaieva, Justine Leclère, Jacques Felblinger, Romain Gillet, Xavier Dubernard, et al.. Methodology for quantitative evaluation of mandibular condyles motion symmetricity from real-time MRI in the axial plane. Magnetic Resonance Imaging, 2023, 102, pp.115-125. ⟨10.1016/j.mri.2023.05.006⟩. ⟨hal-04102135⟩
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Olivier Huttin, Nicolas Girerd, Antoine Jobbe-Duval, Anne-Laure Constant Dit Beaufils, Thomas Senage, et al.. Machine Learning–Based Phenogrouping in Mitral Valve Prolapse Identifies Profiles Associated With Myocardial Fibrosis and Cardiovascular Events. JACC: Cardiovascular Imaging, 2023, ⟨10.1016/j.jcmg.2023.03.009⟩. ⟨hal-04102227⟩
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Nathalie Pace, Jean-Marc Sellal, Clement Venner, Damien Mandry, Pierre-Yves Marie, et al.. Myocardial deformation in malignant mitral valve prolapse: A shifting paradigm to dynamic mitral valve–ventricular interactions. Frontiers in Cardiovascular Medicine, 2023, 10, pp.1140216. ⟨10.3389/fcvm.2023.1140216⟩. ⟨hal-04087696⟩