23 citations · 28 across the 8 of their papers we have counts for
8 papers
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…
Rapid Sensing of Heat Stress using Machine Learning of Micrographs of Red Blood Cells Dispersed in Liquid Crystals
Prateek Verma, Elizabeth Adeogun, Elizabeth S. Greene +3
An imbalance between bodily heat production and heat dissipation leads to heat stress in organisms. In addition to diminished animal well-being, heat stress is detrimental to the p…
Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomials
Shakil Rafi, Joshua Lee Padgett, Ukash Nakarmi
We make the case for neural network objects and extend an already existing neural network calculus explained in detail in Chapter 2 on \cite{bigbook}. Our aim will be to show that,…
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…
Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images
Edgar A. Rios Piedra, Morteza Mardani, Frank Ong +3
Dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) is a widely used multi-phase technique routinely used in clinical practice. DCE and similar datasets of dynamic medi…
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case
Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi +2
This paper establishes a kernel-based framework for reconstructing data on manifolds, tailored to fit the dynamic-(d)MRI-data recovery problem. The proposed methodology exploits si…
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…