Research interests

Recurrent neural networks, natural language processing, reinforcement learning, lifelong learning, medical imaging and neuroscience.

Publications

Ultrasound Elastography using Machine Learning.
A. Zayed
Master's Thesis, 2020.
[Link]
Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning.
A. Zayed and H. Rivaz.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (TUFFC), 2020.
[Link] [code]
Automatic Frame Selection using CNN in Ultrasound Elastography.
A. Zayed, G. Cloutier and H. Rivaz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2020.
[arXiv]
Rapid Quantification of White Matter Disconnection in the Human Brain.
A. Zayed, Y. Iturria-Medina, A. Villringer, B. Sehm and C. Steele
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2020.
[arXiv]
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography.
A. Zayed and H. Rivaz.
International Conference on Image Analysis and Recognition (ICIAR), 2019.
[arXiv]
Fast approximate time-delay estimation in ultrasound elastography using principal component analysis.
A. Zayed and H. Rivaz.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2019.
[arXiv]