23 citations · 28 across the 8 of their papers we have counts for
4 papers · 1 filter
Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising
Reeshad Khan, John Gauch, Ukash Nakarmi
The application of Deep Neural Networks (DNNs) to image denoising has notably challenged traditional denoising methods, particularly within complex noise scenarios prevalent in med…
Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D Diffusion MRI
Abhijit Baul, Nian Wang, Choyi Zhang +3
Diffusion Magnetic Resonance Imaging (dMRI) is a promising method to analyze the subtle changes in the tissue structure. However, the lengthy acquisition time is a major limitation…
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges
Jeffrey Ma, Ukash Nakarmi, Cedric Yue Sik Kin +6
Magnetic Resonance Imaging (MRI) suffers from several artifacts, the most common of which are motion artifacts. These artifacts often yield images that are of non-diagnostic qualit…
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery
Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose +3
This paper puts forth a novel bi-linear modeling framework for data recovery via manifold-learning and sparse-approximation arguments and considers its application to dynamic magne…