ESPCI web site
Clement Papadacci
Researcher at INSERM since 2017
Co-founder of eMyosound
Scientific coordinator INSERM ART (Accélérateur de Recherche Technologique “Ultrasons biomédicaux”)
Scientific leader quantification and ultrasound biomarkers
I am a world-leading expert in 3D ultrafast ultrasound imaging and the inventor of multi-lens ultrasound technology. My work bridges ultrasound physics and clinical translation, with a focus on large–field-of-view 3D/4D imaging. I am PI of an ERC Starting Grant “MicroflowLife”, co-founder of eMyosound, and my current objective is the clinical translation of 4D ULM and cardiac shear wave elastography.
clement.papadacci@espci.fr / Linkedin
See the Google scholar profile / ORCID : 0000-0003-3918-1008
Education
2022 |
HdR Research director HabilitationPhysics for Medicine institute, PSL University, France |
28/11/2014 |
PhD in AcousticsLangevin Institute, PSL University (Paris 7), FranceMathias Fink, Mathieu Pernot |
2011 |
Master in Acoustics / Magistere in Fundamental PhysicsPhysics Department, PSL University (Paris 7), France |
Previous Position
2014 – 2016 |
Postdoctoral FellowUEIL Biomedical engineering Department, Columbia University, NY, USAElisa Konofagou |
Research achievements (Selected)
1 |
Haidour N, Favre H, Mateo P, Reydet J, Bizé A, Sambin L, Dai J, Chiaroni P, Ghaleh B, Pernot M, Tanter M, Papadacci C. “Multi-lens ultrasound arrays enable large-scale 3D microvascular characterization over whole organs,” Nat. Commun., 16:9317, 2025. |
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First in vivo demonstration of whole-organ 3D microcirculation imaging (heart, kidney, liver) using multi-lens technology. Published as last author. Attracted major media attention; forms the foundation for headset development in the ERC project. |
2 |
Reydet J, Favre H, Dizeux A, Haidour N, Pernot M, Tanter M, Papadacci C. “Human brain hemodynamics for 3D ultrasound localization microscopy benchmarking,” Comput. Biol. Med., 200:111370, 2026. |
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Developed realistic whole-brain macro- and microvascular simulations to test and validate 4D ULM probes. Last author. Directly informs the design of the 4D ultrasound headset. |
3 |
Favre H, Pernot M, Tanter M, Papadacci C. “Transcranial 3D Ultrasound Localization Microscopy Using a Large Element Matrix Array with a Multi-Lens Diffracting Layer: An in Vitro Study,” PMB, 2023. |
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First in vitro validation of multi-lens technology using a simplified prototype. Established lens materials, acoustic characterization, and transmit schemes for ultrafast ultrasound. Published as last author. |
4 |
Favre H, Pernot M, Tanter M, Papadacci C. “Boosting Transducer Matrix Sensitivity for 3D Large Field Ultrasound Localization Microscopy Using a Multi-Lens Diffracting Layer: A Simulation Study,” PMB, 2022. |
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Foundational simulation study establishing principles and equations of multi-lens arrays. Published as last author. Provides the conceptual basis for large-scale 4D imaging. |
5 |
Patent: Divergent lens array, Papadacci C, Tanter M, Favre H, Pernot M, US12465330B2 (granted in USA in 2025, pending elsewhere). |
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Protects multi-lens technology for future translation. Highlights experience in patenting and valorization, essential for the ERC project. |
6 |
Co-founder, eMyosound (2022–present, 15–20 employees). |
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Developed a commercial ultrasound device for non-invasive cardiac stiffness assessment. Demonstrates ability to translate scientific discoveries into clinical and societal impact. |
7 |
Papadacci C, Bunting E, Konofagou E. “3D Quasi-Static Ultrasound Elastography With Plane Wave In Vivo,” IEEE Trans. Med. Imaging, 36:357–365, 2017. |
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Developed new 3D ultrasonic methods during postdoc at Columbia University. First author. Established foundational expertise in translating physics-based innovations to human applications. |
8 |
Demeulenaere O, Sandoval Z, Mateo P, Dizeux A, Villemain O, Gallet R, Ghaleh B, Deffieux T, Demene C, Tanter M, Papadacci C, Pernot M. “Coronary Flow Assessment Using 3-Dimensional Ultrafast Ultrasound Localization Microscopy,” JACC Imaging, 2022. |
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Co-supervised PhD project advancing 3D ULM in rodent organs. Gained deep understanding of probe limitations and whole-heart/brain imaging, directly inspiring multi-lens technology. |
9 |
Provost J, Papadacci C, Arango JE, Imbault M, Fink M, Gennisson J-L, et al. “3D ultrafast ultrasound imaging in vivo,” PMB, 59:L1, 2014. |
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First study on 3D ultrafast ultrasound. Co-author during PhD. High impact (416 citations) and foundational for the field of volumetric ultrafast imaging. |
10 |
Papadacci C, Pernot M, Couade M, Fink M, Tanter M. “High-contrast ultrafast imaging of the heart,” IEEE TUFFC, 2014. |
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Early contribution to ultrafast cardiac imaging. Developed novel physics-based methods. Now a reference study (287 citations). |
Main awards and distinctions
2024 |
Langlois Prize for Research and InnovationLocal recognition for the best research team in 4D ultrafast ultrasound imaging. |
2022 |
NVIDIA Academic Hardware Grant ProgramInternational recognition supporting high-performance computing for 4D ultrafast. ultrasound research. |
2019 |
Rotblat Medal in Physics in Medicine & BiologyAward for the most cited paper in the journal, recognizing the impact of 3D ultrafast ultrasound imaging in vivo. |
2019 |
Young Investigator Award (Basic Science), EuroEcho Congress, ViennaInternational recognition for contributions to 4D ultrafast imaging of the heart. |
2017 |
NVIDIA GPU GrantInternational award recognizing innovative applications of ultrafast imaging. |
2016 |
Outstanding Paper Award, IEEE Transactions UFFCInternational recognition for the article on 4D ultrafast shear-wave imaging. |
2015 |
Prize of the Chancellerie des Universités de ParisNational award for excellence in PhD research (10 k€). |
2015 |
Young Investigator Award, Bettencourt-Schueller FoundationNational recognition for outstanding PhD and postdoctoral project (25 k€). |
2015 |
Roberts Prize, Physics in Medicine & BiologyInternational award for the best paper published in the journal. |
2014 |
PhD Prize, French Society of Biophysics and Molecular Biology (SFGBM)National recognition for the best PhD thesis (1k€) |
2013 |
Best Student Paper Award, IEEE International Ultrasonics Symposium, PragueInternational recognition for best PhD paper and poster. |
Media coverage
My research has received substantial national and international media coverage, reflecting both scientific novelty and societal relevance:
2025 |
Le Blob (science outreach video, >200,000 views on youtube): “Première mondiale ! Une sonde révèle la circulation sanguine d’organes entiers”. |
2025 |
Inserm, Santé Magazine, Pourquoi Docteur, Sciences et Avenir, Le Figaro (print and web). |
2025 |
International science news outlets (Physics World, ScienMag, Healthcare in Europe, MyScience, Today Headline, …). |
2025 |
National and international radio and TV interviews (France Inter, France Info, Radio Classique, ReachMD, France 24). |
2024 |
Science outreach comic book (Inserm), Projet Cardioloop (Volume 2). |
2025-22 |
Inserm portraits, ESPCI, podcasts (eBioMedicine), and national press articles. |
Latest publications
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https://blog.espci.fr/physmed/wp-content/plugins/zotpress/
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1Reydet J, Favre H, Dizeux A, Haidour N, Pernot M, Tanter M, et al. Human brain hemodynamics for 3D ultrasound localization microscopy benchmarking. Computers in Biology and Medicine 2026;200:111370. https://doi.org/10.1016/j.compbiomed.2025.111370.
1Meki 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.
1Haidour 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.
1Venet 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.
1Leroy 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.
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1
Reydet J, Favre H, Dizeux A, Haidour N, Pernot M, Tanter M, et al. Human brain hemodynamics for 3D ultrasound localization microscopy benchmarking. Computers in Biology and Medicine 2026;200:111370. https://doi.org/10.1016/j.compbiomed.2025.111370.
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.