Berthon Béatrice

Berthon Béatrice

Research officer at Inserm
beatrice.walker@espci.fr
ORCID: 0000-0002-2984-2354
See the ResearchGate profile >

Education

  • 2014 – PhD in Physics, Cardiff University, UK
    “Optimisation of Positron Emission Tomography based target volume delineation in head and neck radiotherapy”
  • 2011 – Master of Science in Nanophotonics, Université Orsay Paris XI, France
  • 2011 – Engineering degree and Master of Science in Applied Physics, Ecole Centrale Paris, France

Professional experience

  • since 2019 – Tenured research officer at INSERM, Paris, France
  • 2016 – Postdoctoral researcher at Institut Langevin Ondes et Images, Paris, France
  • 2015 – Postdoctoral resaercher, Cardiff University, UK

Main awards and distinctions

  • 2017 – Best oral presentation of the Congrès National d’Imagerie du Vivant (acoustoelectric imaging)
  • 2017 – Young Investigator Award at the European Molecular Imaging Meeting (acoustoelectric imaging in vivo)
  • 2016 – Best Poster Presentation of the Annual Conference of the European Society for Radiotherapy and Oncology (ATLAAS machine learning segmentation algorithm)
  • 2015 – Manufacturer’s award for Innovation of the Institute of Physics and Engineering in Medicine (ATLAAS machine learning segmentation algorithm)
  • 2013 – Travel award of the Institute of Physics and Engineering in Medicine (PET segmentation for radiotherapy treatment planning)

Research topics

  • Acoustoelectric imaging
  • Identification of multiparametric biomarkers for tumour monitoring
  • Deep learning for image classification
  • Radiomics and texture analysis
  • Quantification of vascular networks

Main publications

1
Guillaumin J-B, Djerroudi L, Aubry J-F, Tardivon A, Tanter M, Vincent-Salomon A, et al. Proof of Concept of 3-D Backscatter Tensor Imaging Tomography for Non-invasive Assessment of Human Breast Cancer Collagen Organization. Ultrasound in Medicine & Biology 2022. https://doi.org/10.1016/j.ultrasmedbio.2022.05.017.
1
Berthon B, Behaghel A, Mateo P, Dansette P-M, Favre H, Ialy-Radio N, et al. Mapping Biological Current Densities With Ultrafast Acoustoelectric Imaging: Application to the Beating Rat Heart. IEEE TRANSACTIONS ON MEDICAL IMAGING 2019;38:1852–7. https://doi.org/10.1109/TMI.2019.2898090.
1
Provost J, Garofalakis A, Sourdon J, Bouda D, Berthon B, Viel T, et al. Simultaneous positron emission tomography and ultrafast ultrasound for hybrid molecular, anatomical and functional imaging. NATURE BIOMEDICAL ENGINEERING 2018;2:85–94. https://doi.org/10.1038/s41551-018-0188-z.
1
Berthon B, Dansette P-M, Tanter M, Pernot M, Provost J. An integrated and highly sensitive ultrafast acoustoelectric imaging system for biomedical applications. Phys Med Biol 2017;62:5808–22. https://doi.org/10.1088/1361-6560/aa6ee7.
1
Berthon B, Häggström I, Apte A, Beattie BJ, Kirov AS, Humm JL, et al. PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods. Physica Medica 2015;31:969–80. https://doi.org/10.1016/j.ejmp.2015.07.139.

Latest publications

1
Guillaumin J-B, Djerroudi L, Aubry J-F, Tardivon A, Dizeux A, Tanter M, et al. Biopathologic Characterization and Grade Assessment of Breast Cancer With 3-D Multiparametric Ultrasound Combining Shear Wave Elastography and Backscatter Tensor Imaging. Ultrasound in Medicine and Biology 2024;50:474–83. https://doi.org/10.1016/j.ultrasmedbio.2023.12.004.
1
Blons M, Deffieux T, Osmanski B-F, Tanter M, Berthon B. PerceptFlow: Real-Time Ultrafast Doppler Image Enhancement Using Deep Convolutional Neural Network and Perceptual Loss. Ultrasound in Medicine & Biology 2023;49:225–36. https://doi.org/10.1016/j.ultrasmedbio.2022.08.016.
1
Berthon B, Bergel A, Matei M, Tanter M. Decoding behavior from global cerebrovascular activity using neural networks. Scientific Reports 2023;13:3541. https://doi.org/10.1038/s41598-023-30661-5.
1
Guillaumin J-B, Djerroudi L, Aubry J-F, Tardivon A, Tanter M, Vincent-Salomon A, et al. Proof of Concept of 3-D Backscatter Tensor Imaging Tomography for Non-invasive Assessment of Human Breast Cancer Collagen Organization. Ultrasound in Medicine & Biology 2022;48:1867–78. https://doi.org/10.1016/j.ultrasmedbio.2022.05.017.
1
Sengupta PP, Shrestha S, Berthon B, Messas E, Donal E, Tison GH, et al. Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council. JACC: Cardiovascular Imaging 2020;13:2017–35. https://doi.org/10.1016/j.jcmg.2020.07.015.
Nov 21, 2022 | |
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