Schweiger, M., & Arridge, S. (2016). Basis mapping methods for forward and inverse problems. International Journal for Numerical Methods in Engineering. doi:10.1002/nme.5271

Ehrhardt, M., Thielmans, K., Pizarro, L., Atkinson, D., Ourselin, S., Hutton, B., & Arridge, S. (2015). Joint reconstruction of PET-MRI by exploiting structural similarity. Inverse Problems, 31, 015001. doi:10.1088/0266-5611/31/1/015001

Smigaj, W., Arridge, S., Betcke, T., Phillips, J., & Schweiger, M. (2015). Solving Boundary Integral Problems with BEM++. ACM Transactions on Mathematical Software. doi:10.1145/2590830

Bassi, A., D'Andrea, C., Valentini, G., Cubeddu, R., & Arridge, S. (2008). Temporal propagation of spatial information in turbid media. OPTICS LETTERS, 33 (23), 2836-2838. doi:10.1364/OL.33.002836

Papadimitriou, K., Hebden, J., Arridge, S., & Powell, S. (2019). A dual-wavelength spread spectrum-based spectroscopic system For time-domain near-infrared diffuse optical imaging. Proceedings of SPIE. Optical Tomography and Spectroscopy of Tissue XIII, 10874. SPIE. doi:10.1117/12.2507992

Powell, S., Cox, B. T., & Arridge, S. R. (2019). A pseudospectral method for solution of the radiative transport equation. JOURNAL OF COMPUTATIONAL PHYSICS, 384, 376-382. doi:10.1016/j.jcp.2019.01.024

Jin, B., Arridge, S., & Zhang, C. (2019). Expectation propagation for Poisson data. Inverse Problems.

Cochran, J. M., Busch, D. R., Lin, L., Minkoff, D. L., Schweiger, M., Arridge, S., & Yodh, A. G. (2019). Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging. Journal of biomedical optics, 24 (5), 1-11. doi:10.1117/1.JBO.24.5.051409

Kolehmainen, V., Ehrhardt, M. J., & Arridge, S. R. (2019). Incorporating structural prior information and sparsity into EIT using parallel level sets. Inverse Problems and Imaging, 13 (2), 285-307. doi:10.3934/ipi.2019015

Usman, M., Matakos, A., Kakkar, L., Arridge, S., & Atkinson, D. (2019). Model based joint B0 and image estimation framework for dynamic field mapping and signal pile-up correction in prostate diffusion MRI.