| Multibeat echocardiographic phase detection using deep neural networks ES Lane, N Azarmehr, J Jevsikov, JP Howard, MJ Shun-Shin, GD Cole, ... Computers in Biology and Medicine 133, 104373, 2021 | 21 | 2021 |
| Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks ES Lane, J Jevsikov, MJ Shun-Shin, N Dhutia, N Matoorian, GD Cole, ... Medical & Biological Engineering & Computing 61 (5), 911-926, 2023 | 5 | 2023 |
| Influence of loss function on left ventricular volume and ejection fraction estimation in deep neural networks P Naidoo, EI Alajrami, ES Lane, J Jevsikov, MJ Shun-shin, DP Francis, ... | 3 | 2022 |
| Deep Active Learning for Left Ventricle Segmentation in Echocardiography E Alajrami, P Naidoo, J Jevsikov, E Lane, J Pordoy, ND Serej, ... International Conference on Functional Imaging and Modeling of the Heart …, 2023 | 1 | 2023 |
| Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks J Jevsikov, ES Lane, E Alajrami, P Naidoo, ND Serej, N Azarmehr, ... International Conference on Functional Imaging and Modeling of the Heart …, 2023 | 1 | 2023 |
| Active learning for left ventricle segmentation in echocardiography E Alajrami, T Ng, J Jevsikov, P Naidoo, P Fernandes, N Azarmehr, ... Computer Methods and Programs in Biomedicine 248, 108111, 2024 | | 2024 |
| Automated mitral inflow Doppler peak velocity measurement using deep learning J Jevsikov, T Ng, ES Lane, E Alajrami, P Naidoo, P Fernandes, JS Sehmi, ... Computers in Biology and Medicine, 108192, 2024 | | 2024 |
| Automated analysis of mitral inflow doppler using convolutional neural networks J Jevsikov, ES Lane, CC Stowell, MJ Shun-shin, DP Francis, M Zolgharni | | 2022 |
| Echocardiographic Phase Detection Using Neural Networks ES Lane, N Azarmehr, J Jevsikov, JP Howard, M Shun-shin, DP Francis, ... Medical Imaging with Deep Learning, 2021 | | 2021 |
| Ensembles-based active learning for left ventricle segmentation E Alajrami, J Jevsikov, P Naidoo, S Adibzadeh, P Fernandes, ND Serej, ... 27th Conference on Medical Image Understanding and Analysis 2023, 102, 0 | | |
