Author

R. Shipley

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

P. Sweeney· 2 shared S. Walker-Samuel· 2 shared A. d'Esposito· 1 shared A. Desjardins· 1 shared A. Guy· 1 shared A. Markaki· 1 shared C. Walsh· 1 shared E. Brown· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiophysics

P. Sweeney

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2 papers

Recent·Most cited

Physics-informed deep generative learning for quantitative assessment of the retina

E. Brown, A. Guy, N. Holroyd, P. Sweeney, L. Gourmet, H. Coleman, C. Walsh, A. Markaki, R. Shipley, R. Rajendram, S. Walker-Samuel

This paper introduces a physics-informed GAN to generate realistic retinal blood vessel models, outperforming human labeling in segmentation and reconstruction.

bioRxiv · Jul 10, 2023Biophysics

Combining optical imaging of cleared tissue with mathematical modelling to predict drug delivery and therapeutic response

A. d'Esposito, P. Sweeney, M. Ali, M. Saleh, R. Ramasawmy, T. A. Roberts, A. Desjardins, M. F. Lythgoe, R. B. Pedley, R. Shipley, S. Walker-Samuel

The paper develops a computational framework to predict drug delivery and therapeutic response by integrating optical imaging and mathematical modeling in tumor tissue.

bioRxiv · Nov 15, 2017Biophysics