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Mohd Usama

My research focuses on deep learning in healthcare informatics. Currently, I am working on generative adversarial networks for ultrasound image analysis.



Works at

Affiliated as postdoctoral position at Department of Diagnostics and Intervention
5A, Målpunkt H62, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå

My current research focuses on deep learning methods for domain adaptation and super-resolution together with evaluation of new AI methods for ultrasound imaging based subclinical atherosclerosis risk assessment.

Ultrasound imaging of the carotid arteries is an important method for assessment of subclinical atherosclerosis. In atherosclerotic disease, fatty streaks start infiltrating the arterial walls and may eventually build up to localized plaques which may rupture and cause stroke. However, ultrasound images are difficult to read because of operator dependence and noice contamination. In this study, artificial intelligence will be used to develop new decision support systems aiming to overcome some of these difficulties.