589 citations · 851 across the 10 of their papers we have counts for
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Single MR Image Super-Resolution using Generative Adversarial Network
Shawkh Ibne Rashid, Elham Shakibapour, Mehran Ebrahimi
Spatial resolution of medical images can be improved using super-resolution methods. Real Enhanced Super Resolution Generative Adversarial Network (Real-ESRGAN) is one of the recen…
Multi-Modality Image Inpainting using Generative Adversarial Networks
Aref Abedjooy, Mehran Ebrahimi
Deep learning techniques, especially Generative Adversarial Networks (GANs) have significantly improved image inpainting and image-to-image translation tasks over the past few year…
Multi-Modality Image Super-Resolution using Generative Adversarial Networks
Aref Abedjooy, Mehran Ebrahimi
Over the past few years deep learning-based techniques such as Generative Adversarial Networks (GANs) have significantly improved solutions to image super-resolution and image-to-i…
Deep Learning-Based MR Image Re-parameterization
Abhijeet Narang, Abhigyan Raj, Mihaela Pop +1
Magnetic resonance (MR) image re-parameterization refers to the process of generating via simulations of an MR image with a new set of MRI scanning parameters. Different parameter…