Publications

You can also find my scientific publications on Google Scholar

VMW Michels, A Szmul, J Jacob, H Dejea, BS de Bakker, JAF Huirne, …, et al., Revealing the unseen: 3D synchrotron X-Ray imaging of uterine vasculature in adenomyosis, Angiogenesis, 2026.

E Newham, AL Parmenter, J Chen, C Disney, T Snow, J Brunet, et al., Multimodal X-ray imaging reveals hierarchical fibre mechanics, BioRxiv preprint, 2025.
S Rahmani, DJ Jafree, PD Lee, P Tafforeau, J Brunet, et al., Mapping the arterial vascular network in an intact human kidney using hierarchical phase-contrast tomography, npj Imaging, 2025.
A Mirone, J Brunet, T Urban, et al., Eikonal Phase Retrieval: unleashing the potential of fourth-generation sources for enhanced propagation-based tomography on biological samples, Synchrotron Radiation 32 (5), 2025, 2025.
J Brunet, L Chestnutt, M Chourrout, et al., Cardiotensor: A Python Library for Orientation Analysis and Tractography in 3D Cardiac Imaging, ArXiv preprint, 2025
CL Walsh, J Brunet, D Stansby, et al., The Human Organ Atlas, BioRxiv preprint, 2025
Y Zhou, S Aslani, Y Javanmardi, J Brunet, et al., Multiscale Segmentation using Hierarchical Phase-contrast Tomography and Deep Learning, BioRxiv preprint, 2025.

SE Verleden, T Urban, J Brunet, et al., Imaging Three-Dimensional Airway Morphology in Congenital Pulmonary Airway Malformation Using Hierarchical Phase-Contrast Tomography, American Journal of Respiratory and Critical Care Medicine, 2024.
E Yagis, S Aslani, Y Jain, Y Zhou, S Rahmani, J Brunet, et al., Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney, Scientific Reports, 2024.
J Brunet, CL Walsh, P Tafforeau, et al., Hierarchical phase-contrast tomography: a non-destructive multiscale imaging approach for whole human organs, Developments in X-Ray Tomography XV, 2024.
Y Jain, CL Walsh, E Yagis, S Aslani, S Nandanwar, Y Zhou, J Ha, …, et al., Vasculature segmentation in 3D hierarchical phase-contrast tomography images of human kidneys, BioRxiv preprint, 2024.
J Brunet, AC Cook, CL Walsh, et al., Multidimensional analysis of the adult human heart in health and disease using hierarchical phase-contrast tomography, Radiology 312 (1), e232731, 2024, 2024.
S Rahmani, DJ Jafree, PD Lee, P Tafforeau, J Brunet, et al., Mapping the blood vasculature in an intact human kidney using hierarchical phase-contrast tomography, BioRxiv preprint, 2024.
RP Xian, J Brunet, Y Huang, et al., A closer look at high-energy X-ray-induced bubble formation during soft tissue imaging, Synchrotron Radiation 31 (3), 566-577, 2024, 2024.

A Mirone, J Brunet, L Admans, et al., Eikonal phase retrieval: Unleashing the fourth generation sources potential for enhanced propagation based tomography on biological samples, ArXiv preprint, 2023
E Yagis, S Aslani, Y Jain, Y Zhou, S Rahmani, J Brunet, et al., Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging, ArXiv preprint, 2023
J Brunet, CL Walsh, WL Wagner, et al., Preparation of large biological samples for high-resolution, hierarchical, synchrotron phase-contrast tomography with multimodal imaging compatibility, Nature Protocols, 2023.
S Rahmani, DJ Jafree, PD Lee, P Tfforeau, J Jacob, A Bellier, …, et al., Micro to macro scale analysis of the intact human renal arterial tree with Synchrotron Tomography, BioRxiv preprint, 2023.
M Ackermann, P Tafforeau, J Brunet, et al., Reply to: Intrapulmonary Shunt and Alveolar Dead Space in a Cohort of Patients with Acute COVID-19 Pneumonitis and Early Recovery, European Respiratory Journal, 2023.
J Brunet, B Pierrat, J Adrien, et al., In situ visualization of aortic dissection propagation in notched rabbit aorta using synchrotron X-ray tomography, Acta Biomaterialia, 2023.

J Brunet, CL Walsh, WL Wagner, et al., Preparation of large biological samples for high-resolution, hierarchical, multi-modal imaging, BioRxiv preprint, 2022.

J Brunet, et al., Comprendre les mécanismes de dissection aortique: modélisation éléments finis et expérimentation in situ sous tomographie RX, Revue Européenne des Éléments Finis, 2021.
J Brunet, et al., Understanding the mechanisms of aortic dissection: finite element modeling and in situ experimentation with X-ray tomography, JTCVS Techniques, 2021.
J Brunet, B Pierrat, P Badel, et al., A parametric study on factors influencing the onset and propagation of aortic dissection using the extended finite element method, IEEE Transactions on Biomedical Engineering, 2021.
J Brunet, B Pierrat, J Adrien, et al., A novel method for in vitro 3D imaging of dissecting pressurized arterial segments using X-ray microtomography, Experimental Mechanics, 2021.
QH Abbasi, K Ahi, K AL-Dulaimi, A Al-Fuqaha, A Al-Sabaawi, …, et al., 2021 Index IEEE Reviews in Biomedical Engineering Vol. 14, IEEE Reviews in Biomedical Engineering, 2021.

J Brunet, B Pierrat, P Badel, et al., Review of current advances in the mechanical description and quantification of aortic dissection mechanisms, IEEE Reviews in Biomedical Engineering, 2020.

J Brunet, B Pierrat, E Maire, et al., A combined experimental-numerical lamellar-scale approach of tensile rupture in arterial medial tissue using X-ray tomography, Journal of the Mechanical Behavior of Biomedical Materials, 2019.
J Brunet, B Pierrat, P Badel, et al., A numerical design of experiment approach to understand aortic dissection onset and propagation, Computer Methods in Biomechanics and Biomedical Engineering, 2019.