Alaa AlZoubi

NameAlaa AlZoubi
Job titleSenior Lecturer in Computer Science
Research instituteCollege of Science and Engineering
ORCIDhttps://orcid.org/0000-0003-1167-170X

Research outputs

Explainable DCNN Decision Framework for Breast Lesion Classification from Ultrasound Images Based on Cancer Characteristics

AlZoubi, A., Eskandari, A., Yu, H. and Du, H. 2024. Explainable DCNN Decision Framework for Breast Lesion Classification from Ultrasound Images Based on Cancer Characteristics . Bioengineering. 11 (5), pp. 1-23. https://doi.org/10.3390/bioengineering11050453

ENAS-B: Combining ENAS with Bayesian Optimisation for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification from Ultrasound Images

Ahmed, M., Du, H. and AlZoubi, A. 2023. ENAS-B: Combining ENAS with Bayesian Optimisation for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification from Ultrasound Images. Ultrasonic Imaging. https://doi.org/10.1177/01617346231208709

Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images

Han, D., Ibrahim, N., Lu, F., Zhu, Y., Du, H. and AlZoubi, A. 2023. Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images. Ultrasonic Imaging. pp. 1-18. https://doi.org/10.1177/01617346231200804

Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition

AlZoubi, A. and Radhakrishnan , R. 2023. Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition. in: A. Augusto de Sousa, Kurt Debattista, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen Purchase, Giovanni Maria Farinella, Petia Radeva and Kadi Bouatouch (ed.) Computer Vision, Imaging and Computer Graphics Theory and Applications New York Springer. pp. 108–134

Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design

AlZoubi, A., Lu, F., Zhu, Y., Ying, T., Ahmed, M. and Du, H. 2023. Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design. Medical & Biological Engineering & Computing. pp. 1-15. https://doi.org/10.1007/s11517-023-02922-y

Machine Learning Assisted Doppler Features for Enhancing Thyroid Cancer Diagnosis

Zhu, Y., Du, H., Jiang, Q., Zhang, T., Huang, X., Zhang, Y., Shi, X., Shan, J. and AlZoubi, A. 2021. Machine Learning Assisted Doppler Features for Enhancing Thyroid Cancer Diagnosis. Journal of Ultrasound in Medicine. 41 (8), pp. 1961-1974. https://doi.org/10.1002/jum.15873

A generic deep learning framework to classify thyroid and breast lesions in ultrasound images

Zhu, Y.C., AlZoubi, A., Jassim, S., Jiang, Q., Zhang, Y., Wang, Y.B., Ye, X.D. and Hongbo, D.U. 2021. A generic deep learning framework to classify thyroid and breast lesions in ultrasound images. Ultrasonics. 110, pp. 1-8. https://doi.org/10.1016/j.ultras.2020.106300
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