Publications
Addo, D. A., Kang, W., Prisk, G. K., Tawhai, M. H., & Burrowes, K. S. (2019). Optimizing human pulmonary perfusion measurement using an in silico model of arterial spin labeling magnetic resonance imaging. Physiological reports, 7(11), e14077.
Addo, D. A. (2020). In Silico Modelling to Advance Arterial Spin Labelling Magnetic Resonance Imaging (Doctoral dissertation, University of Auckland).
Addo, D., Tawhai, M. H., Clark, A. R., Glenny, R. W., Prisk, G. K., & Burrowes, K. S. (2020). A Theoretical Comparison of ASL MRI and Microsphere Estimation of Pulmonary Blood Flow. In A57. Pulmonary vascular diseases and RV functions: novel signalling mechanisms, exciting models and emerging treatment options (pp. A2097-A2097). American Thoracic Society.
Addo, D. A., Elliot, A. R., Thielmann, R., Niese, A., Darquenne, C., Prisk, G. K., ... & Burrowes, K. S. (2019). Optimizing Conduit Vessel Removal from Perfusion Quantification Using Arterial Spin Labeling Magnetic Response Imaging Via in Silico Modeling. In A68. New techniques, methologies, and mathematical modelling (pp. A2267-A2267). American Thoracic Society.
Addo, D. A., Kaufmann, E. E., Tagoe, S. N., & Kyere, A. K. (2022). Characterization of GafChromic EBT2 film dose measurements using a tissue-equivalent water phantom for a Theratron® Equinox Cobalt-60 teletherapy machine. PloS one, 17(8), e0271000.
Addo, D. A., Boatemaa, M. A., Aniewu, E. P. (2022). Optimizing the determination of blood groups via image processing. All Nations University Journal of Applied Thought (ANUJAT),9(1): 32-47. All Nations University Press. doi: http://doi.org/ 10.47987/ZRAO4601. Available at: http://anujat.anuc.edu.gh/universityjournal/anujat/Vol9/No1/3.pdf
Mensah, B., Onwona-Agyeman, B., Efavi, J. K., Ofor, R. A., Zigah, M., Koranteng, J., ... Addo, D. A. (2023). Investigating the Effect of Curing Activators on the Cure Kinetics of Acrylonitrile–Butadiene Rubber Filled with Graphene Oxide and Reduced Graphene Oxides Nanocomposites. International Journal of Polymer Science, 2023. https://doi.org/10.1155/2023/6387898