Active learning for left ventricle segmentation in echocardiography, 2024

Alajrami, E., Ng, T., Jevsikov, J., Naidoo, P., Fernandes, P., Azarmehr, N., Dinmo hammadi, F., Shun-shin, M.J., Dadashi Serej, N., Francis, D.P., Zolgharni

Automated mitral inflow Doppler peak velocity measurement using deep learning, 2024

Jevsikov, J., Ng, T., Lane, E.S., Alajrami, E., Naidoo, P., Fernandes, P., Sehmi, J.S., Alzetani, M., Demetrescu, C.D., Azarmehr, N., Serej, N.D., Stowell, C.C., Shun-Shin, M.J., Francis, D.P., Zolgharni, M.

Semi-supervised Active Learning for Left Ventricle Segmentation in Echocardiography. (MIDL 2024)

Alajrami, E., Serej, N.D., Jevsikov, J., Fernandes, P., Abdi, A., Ufumaka, I., Zolgharni, M.

Pre-training of U-Net Encoder for Improved Keypoint Detection in Transmitral Doppler Imaging. (MIDL, 2024)

Abdi, A., Jevsikov, J., Alajrami, E., Fernandes, P., Ufumaka, I., Serej, N.D., Francis, D.P., Zolgharni, M.

Ensembles-based active learning for left ventricle segmentation. (MIUA 2023)

Alajrami, E., Jevsikov, J., Naidoo, P., Adibzadeh, S., Fernandes, P., Serej, N.D., Azarmehr, N., Dinmohammadi, F., Zolgharni, M.

Deep Active Learning for Left Ventricle Segmentation in Echocardiography. (FIMH 2023)

Alajrami, E., Naidoo, P., Jevsikov, J., Lane, E., Pordoy, J., Serej, N.D., Azarmehr, N., Dinmohammadi, F., Shun-shin, M.J., Francis, D.P., Zolgharni, M.

Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks. (FIMH 2023)

Jevsikov, J., Lane, E.S., Alajrami, E., Naidoo, P., Serej, N.D., Azarmehr, N., Aleshaiker, S., Stowell, C.C., Shun-shin, M.J., Francis, D.P. and Zolgharni, M.

Influence of Loss Function on Left Ventricular Volume and Ejection Fraction Estimation in Deep Neural Networks

Preshen Naidoo, Eman I Alajrami, Elisabeth Sarah Lane, Jevgeni Jevsikov, Matthew J Shun-shin, Darrel P Francis, Massoud Zolgharni

Arabic Text Summarization Using AraBERT Model Using Extractive Text Summarization Approach

Abdullah M. Abu Nada, Eman Alajrami, Ahmed Alsaqqa, Samy S. Abu-Naser

Age and Gender Prediction and Validation Through Single User Images Using CNN

Abdullah M. Abu Nada, Eman Alajrami, Ahmed Alsaqqa, Samy S. Abu-Naser

On using AI-Based Human Identification in Improving Surveillance System Efficiency

Eman Alajrami, Hani Tabash, Yassir Singer, Mohammed Taha El Astal

Predicting Student Performance Using Artificial Neural Network: in the Faculty of Engineering and Information Technology

Samy Abu Naser, Ihab Zaqout, Mahmoud Abu Ghosh, Rasha Atallah, Eman Alajrami

COVID-19 Detection using Artificial Intelligence

Fatima Salman, Samy Abu Naser, Eman Alajrami, Basem Abu Naser, Belal Alashqar

Handwritten signature verification using deep learning

Eman Alajrami, Belal A. M. Ashqar, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom, Samy S. Abu-Naser

Blood Donation Prediction using Artificial Neural Network

Eman Alajrami, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom, Samy S. Abu-Naser

Predicting Liver Patients using Artificial Neural Network

Musleh M. Musleh, Eman Alajrami, Ahmed J. Khalil, Bassem S. Abu-Nasser, Alaa M. Barhoom, Samy S. Abu-Naser

Selective Software Project Management Methodology

Mohammed Awad, Hisham Khdair, Eman Alajrami, Mohammed Manahi