4 citations · 5 across the 10 of their papers we have counts for
10 papers
Combining physics-based modeling and deep learning for ultrasound elastography
Narges Mohammadi, Marvin M. Doyley, Mujdat Cetin
Ultrasound elasticity images which enable the visualization of quantitative maps of tissue stiffness can be reconstructed by solving an inverse problem. Classical model-based appro…
Regularization by Adversarial Learning for Ultrasound Elasticity Imaging
Narges Mohammadi, Marvin M. Doyley, Mujdat Cetin
Classical model-based imaging methods for ultrasound elasticity inverse problem require prior constraints about the underlying elasticity patterns, while finding the appropriate ha…
MR elasticity reconstruction using statistical physical modeling and explicit data-driven denoising regularizer
Narges Mohammadi, Marvin M. Doyley, Mujdat Cetin
Elasticity image, visualizing the quantitative map of tissue stiffness, can be reconstructed by solving an inverse problem. Classical methods for magnetic resonance elastography (M…
Finite Element Reconstruction Of Stiffness Images In MR Elastography Using Statistical Physical Forward Modeling And Proximal Optimization Methods
Narges Mohammadi, Marvin M. Doyley, Mujdat Cetin
Quantitative characterization of tissue properties, known as elasticity imaging, can be cast as solving an ill-posed inverse problem. The finite element methods (FEMs) in magnetic…
Ultrasound Elasticity Imaging Using Physics-based Models And Learning-based Plug-And-Play Priors
Narges Mohammadi, Marvin M. Doyley, Mujdat Cetin
Existing physical model-based imaging methods for ultrasound elasticity reconstruction utilize fixed variational regularizers that may not be appropriate for the application of int…
A statistical framework for model-based inverse problems in ultrasound elastography
Narges Mohammadi, Marvin M. Doyley, Mujdat Cetin
Model-based computational elasticity imaging of tissues can be posed as solving an inverse problem over finite elements spanning the displacement image. As most existing quasi-stat…
First-principles study of Carbz-PAHTDDT dye sensitizer and two Carbz-derived dyes for dye sensitized solar cells
Narges Mohammadi, Feng Wang
Two new carbazole-based organic dye sensitizers are designed and investigated in silico. These dyes are designed through chemical modifications of the conjugated bridge of a refere…
From building blocks of proteins to drugs: A quantum chemical study on structure-property relationships of phenylalanine, tyrosine and dopa
Aravindhan Ganesan, Narges Mohammadi, Feng Wang
Density functional theory and ab initio methods have been employed to address the impacts of hydroxyl (OH) group substitutions on the physico-chemical properties of levodopa (or L-…
Improving the electronic and optical properties of Carbz-PAHTDDT-based dyes through chemical modifications
Narges Mohammadi, Feng Wang
To investigate geometric and electronic structure, a theoretical study is performed on the Carbz-PAHTDDT (S9) organic dye sensitizer. This dye has a reported promising efficiency w…
Dominance of eclipsed ferrocene conformer in solutions revealed by the IR fingerprint spectral splitting
Narges Mohammadi, Feng Wang, Stephen Best +2
A combined high-resolution Fourier transform infrared (FTIR) spectra of ferrocene (Fc) and density functional theory (DFT) based quantum mechanical calculations confirmed the domin…