Research interest: Structured deep learning and generative models for image enhancement, image inpainting, super-resolution, and image registration.
Working with Mehran Ebrahimi.
My research interests include mathematical imaging, computer vision, and machine learning along with its applications to medical imaging. During my master, I’ve been working on deep learning techniques aimed at deformable image registration (alignment) problem, image restoration, image enhancement, and single image super-resolution. The long-term goal of my research is to incorporate these techniques into computer-aided diagnosis (CAD) systems to improve diagnostic accuracy and speed. More generally, I am working on deep generative models.
My ultimate objective is to create open source frameworks that leverage deep neural networks in medical image problems to empower high-performance CAD system development and enhance the quality of care for patients worldwide.