3 citations · 3 across the 2 of their papers we have counts for
3 papers · 1 filter
Adversarial Machine Learning Attack on Modulation Classification
Muhammad Usama, Muhammad Asim, Junaid Qadir +2
Modulation classification is an important component of cognitive self-driving networks. Recently many ML-based modulation classification methods have been proposed. We have evaluat…
Blind Image Deconvolution using Pretrained Generative Priors
Muhammad Asim, Fahad Shamshad, Ali Ahmed
This paper proposes a novel approach to regularize the ill-posed blind image deconvolution (blind image deblurring) problem using deep generative networks. We employ two separate d…
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Muhammad Usman, Muhammad Umar Farooq, Siddique Latif +2
Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modality that can produce a high-resolution image with relatively less data acquisition time. The downside of mult…