Eman Alajrami

According to our database, Eman Alajrami authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Active learning for left ventricle segmentation in echocardiography.

Eman Alajrami, Tiffany Ng, Jevgeni Jevsikov, Preshen Naidoo, Patricia Fernandes, Neda Azarmehr, Fateme Dinmohammadi, Matthew J. Shun-Shin, Nasim Dadashi Serej, Darrel P. Francis, Massoud Zolgharni

Comput. Methods Programs Biomed., 2024

Automated mitral inflow Doppler peak velocity measurement using deep learning.

Jevgeni Jevsikov, Tiffany Ng, Elisabeth S. Lane, Eman Alajrami, Preshen Naidoo, Patricia Fernandes, Joban S. Sehmi, Maysaa Alzetani, Camelia D. Demetrescu, Neda Azarmehr, Nasim Dadashi Serej, Catherine C. Stowell, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni

Comput. Biol. Medicine, 2024

2023

Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks.

Jevgeni Jevsikov, Elisabeth S. Lane, Eman Alajrami, Preshen Naidoo, Nasim Dadashi Serej, Neda Azarmehr, Sama Aleshaiker, Catherine C. Stowell, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Deep Active Learning for Left Ventricle Segmentation in Echocardiography.

Eman Alajrami, Preshen Naidoo, Jevgeni Jevsikov, Elisabeth S. Lane, Jamie Pordoy, Nasim Dadashi Serej, Neda Azarmehr, Fateme Dinmohammadi, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni

Proceedings of the Functional Imaging and Modeling of the Heart, 2023