Publications
2024
P. W. Sweeney, L. Hacker, T. L. Lefebvre, J. Gröhl, E. L. Brown & S. E. Bohndiek. Unsupervised segmentation of 3D microvascular photoacoustic images using deep generative learning. Advanced Science; 2402195.
P. W. Sweeney, C. Walsh, S. Walker-Samuel & R. J. Shipley. A three-dimensional, discrete-continuum model of blood flow in microvascular networks. International Journal for Numerical Methods in Biomedical Engineering; e3832.
M. E. Oraiopoulou, D. L. Couturier, E. V. Bunce, I. Cannell, P. W. Sweeney, H. Naylor, M. Golinska, G. Hannon, V. Sakkalis & S. E. Bohndiek. The in vitro dynamics of pseudo-vascular network formation. British Journal of Cancer.
2023
J. Gröhl, T. R. Else, L. Hacker, E. V. Bunce, P. W. Sweeney & S.E. Bohndiek. Moving beyond simulation: data-driven quantitative photo acoustic imaging using tissue-mimicking phantoms. IEEE Transaction on Medical Imaging; 43(3): 1214-1224.
E. Brown, A. Guy, N. Holroyd, P.W. Sweeney, L. Gourmet, H. Coleman, C. Walsh, R.J. Shipley, R. Rajendra & S. Walker-Samuel. Physics-informed deep generative learning for quantitative assessment of the retina. bioRxiv.
L. Hacker, E. L. Brown, T. L. Lefebvre, P. W. Sweeney & S. E. Bohndiek. Performance evaluation of mesoscopic photoacoustic imaging. Photoacoustics; 31: 100505.
2022
E. L. Brown*, T. L. Lefebvre*, P. W. Sweeney*, B. Stolz, J. Gröhl, L. Hacker, Z. Huang, H. A. Harrington, H. M. Byrne & S. E. Bohndiek. Quantification of vascular networks in photoacoustic mesoscopy. Photoacoustics; 26:100357.
2021
H. West*, F. Roberts*, P. Sweeney, S. Walker-Samuel, J. Leedale, H. Colley, C. Murdoch, R. J. Shipley & S. Webb. A mathematical investigation into the uptake kinetics of nanoparticles in vitro. PLOS One; 2021. 16(7): e0254208.
C. Walsh, N. Holroyd, E. Finnerty, S. G. Ryan, P. W. Sweeney, R. J. Shipley & S. Walker-Samuel. Multi-fluorescence high-resolution episcopic microscopy (MF-HREM) for three dimensional imaging of adult murine organs. Advanced Photonics Research; 2021. p2100110.
2020
R. J. Shipley, P. W. Sweeney, S. J. Chapman & T. Roose. A four-compartment multiscale model of fluid and drug distribution in vascular tumours. International Journal for Numerical Methods in Biomedical Engineering; 2020. e3315.
R. J. Shipley, A. F. Smith, P. W. Sweeney, A. R. Pries & T. W. Secomb. A hybrid discrete-continuum approach for modelling microcirculatory blood flow. Mathematical Medicine & Biology; 2020. 37(1): 40-57.
2019
P. W. Sweeney, A. d’Esposito, S. Walker-Samuel & R. J. Shipley. Modelling the transport of fluid through heterogeneous, whole tumours in silico. PLOS Computational Biology; 2019. 15(6): e1006751.
2018
A. d’Esposito*, P. W. Sweeney*, M. Ali, M. Saleh, R. Ramasawmy, T. A. Roberts, G. Agliardi, A. Desjardins, M. F. Lythgoe, R. B. Pedley, R. J. Shipley* & S. Walker-Samuel*. Computational fluid dynamics with imaging of cleared tissue and of in vivo perfusion predicts drug uptake and treatment responses in tumours. Nature Biomedical Engineering; 2018. 2(10): 773-787.
P. W. Sweeney, S. Walker-Samuel & R. J. Shipley. Insights into cerebral haemodynamics and oxygenation utilising in vivo mural cell imaging and mathematical modelling. Scientific Reports; 2018. 8:1373.
*Equal Contribution.
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