Article Versions Notes

Asaturyan H, Villarini B, Sarao K, Chow JS, Afacan O, Kurugol S. Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. Sensors. 2021; 21(23):7942. https://doi.org/10.3390/s21237942

Asaturyan, Hykoush, Barbara Villarini, Karen Sarao, Jeanne S. Chow, Onur Afacan, and Sila Kurugol. 2021. "Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function" Sensors 21, no. 23: 7942. https://doi.org/10.3390/s21237942

Asaturyan, H., Villarini, B., Sarao, K., Chow, J. S., Afacan, O., & Kurugol, S. (2021). Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. Sensors, 21(23), 7942. https://doi.org/10.3390/s21237942