About
Muhammad Usman Akbar is a Postdoctoral Researcher at Lund University, affiliated with the Clinical Memory Research and MultiPark initiatives focusing on Parkinson's disease. His work bridges artificial intelligence and medical imaging, particularly leveraging generative models for synthesizing and analyzing medical images.
Research interests include Generative Adversarial Networks (GANs), Magnetic Resonance Imaging (MRI), synthetic image generation, and evaluation metrics for medical image synthesis. His recent work compares diffusion models and GANs in generating brain MRI and chest X-ray images, highlighting critical considerations for clinical applications.
Collaborations span interdisciplinary neuroimaging and AI-driven healthcare solutions. Current affiliations include Lund University's medical faculty and the MultiPark research program.
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