Outputs (2)

Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network (2021)
Journal Article
Daniel, A., Buchanan, C., Allcock, T., Scerri, D., Cox, E., Prestwich, B., & Francis, S. (2021). Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network. Magnetic Resonance in Medicine, 86(2), 1125-1136. https://doi.org/10.1002/mrm.28768

Purpose: Total Kidney Volume (TKV) is an important measure in renal disease detection and monitoring. We developed a fully automated method to segment the kidneys from T2-weighted magnetic resonance images (MRI) to calculate TKV of healthy control (H... Read More about Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network.

Multiparametric MRI assessment of renal structure and function in acute kidney injury and renal recovery (2021)
Journal Article
Buchanan, C., Mahmoud, H., Cox, E., Noble, R., Prestwich, B., Kasmi, I., …Selby, N. M. (2021). Multiparametric MRI assessment of renal structure and function in acute kidney injury and renal recovery. Clinical Kidney Journal, 14(8), 1969-1976. https://doi.org/10.1093/ckj/sfaa221

Background: Acute Kidney Injury (AKI) is associated with a marked increase in mortality as well as subsequent chronic kidney disease (CKD) and end stage kidney disease. We performed multiparametric MRI with the aim of identifying potential non-invasi... Read More about Multiparametric MRI assessment of renal structure and function in acute kidney injury and renal recovery.