
Papadacci Clément
Researcher at INSERM / Scientific coordinator INSERM ART
Accélérateur de Recherche Technologique “Ultrasons biomédicaux”
clement.papadacci@espci.fr
See the ResearchGate profile >
Education
- 2022 – Research Habilitation, ESPCI-PSL, France
- 2014 – PhD in Physics, Université Paris Diderot, France
Ultrafast ultrasound imaging of the human heart and arteries: towards 3D ultrafast imaging and backscatter tensor imaging - 2011 – Master of Science in Acoustics, Université Paris Diderot, France
- 2010 – Magister degree in Fundamental Physics, Université Paris Diderot, France
Professional experience
- since 2017 – Researcher at INSERM (Accélérateur de Recherche Technologique “Ultrasons biomédicaux”), Paris, France
- 2014-2016 – Postdoctoral researcher at University of Columbia, UEIL, New York, USA
Main awards and distinctions
- 2016 Outstanding Paper Award of the IEEE Transactions in Ultrasonics, Ferroelectrics and Frequency Control
- Prize of the Chancellerie des Universités de Paris in 2015
- Young Investigator Award of the Foundation Bettencourt-Schueller in 2015
- Roberts Prize for the best paper published in Physics for Medicine and Biology in 2015
- Best Student Paper Award of the IEEE International Ultrasonics Symposium in 2013, Prague, Czech Republic
- cardiovascular applications of ultrasound
- ultrafast ultrasound imaging of the cardiovascular system
- fiber tractography
- 3D ultrafast ultrasound imaging
- PET-ultrasound combined imaging
Main publications
4989618
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https://blog.espci.fr/physmed/wp-content/plugins/zotpress/
Latest publications
4989618
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national-institute-of-health-research
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date
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3601
https://blog.espci.fr/physmed/wp-content/plugins/zotpress/
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1
Meki T, Pedreira O, Reydet J, Dizeux A, Papadacci C, Pernot M. In-vivo muscle characterization by 3D Elastic and Backscatter Tensor Imaging using a low channel count system. IEEE Trans Biomed Eng 2025;PP: https://doi.org/10.1109/TBME.2025.3630001.
1
Haidour N, Favre H, Mateo P, Reydet J, Bizé A, Sambin L, et al. Multi-lens ultrasound arrays enable large scale three-dimensional micro-vascularization characterization over whole organs. Nat Commun 2025;16:9317. https://doi.org/10.1038/s41467-025-64911-z.
1
Venet M, Baranger J, Malik A, Nguyen MB, Mital S, Friedberg MK, et al. Towards non-invasive assessment of myocardial work using myocardial stiffness and strain: a human pilot study. Eur Heart J Cardiovasc Imaging 2025;26:1051–64. https://doi.org/10.1093/ehjci/jeaf089.
1
Leroy H, Wang LZ, Jimenez A, Mohamedi N, Papadacci C, Julia P, et al. Assessment of microvascular flow in human atherosclerotic carotid plaques using ultrasound localization microscopy. eBioMedicine 2025;111:105528. https://doi.org/10.1016/j.ebiom.2024.105528.
1
Caudoux M, Demeulenaere O, Porée J, Sauvage J, Mateo P, Ghaleh B, et al. Curved toroidal row column addressed transducer for 3D ultrafast ultrasound imaging. IEEE Trans Med Imaging 2024:1–1. https://doi.org/10.1109/TMI.2024.3391689.
Jan 17, 2019 |
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