109 citations · 131 across the 4 of their papers we have counts for
4 papers
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers
Mohd Usama, Emma Nyman, Ulf Naslund +1
Deep learning has been used extensively for medical image analysis applications, assuming the training and test data adhere to the same probability distributions. However, a common…
Leveraging GANs for data scarcity of COVID-19: Beyond the hype
Hazrat Ali, Christer Gronlund, Zubair Shah
Artificial Intelligence (AI)-based models can help in diagnosing COVID-19 from lung CT scans and X-ray images; however, these models require large amounts of data for training and…
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation
Mehreen Mubashar, Hazrat Ali, Christer Gronlund +1
U-Net is a widely adopted neural network in the domain of medical image segmentation. Despite its quick embracement by the medical imaging community, its performance suffers on com…
A deep learning pipeline for identification of motor units in musculoskeletal ultrasound
Hazrat Ali, Johannes Umander, Robin Rohlén +1
Ultrasound imaging provides information from a large part of the muscle. It has recently been shown that ultrafast ultrasound imaging can be used to record and analyze the mechanic…