23 citations · 28 across the 8 of their papers we have counts for
3 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…
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,…