Zobrazeno 1 - 10
of 3 418
pro vyhledávání: '"Ravinder, R."'
Purpose: To optimize the choice of the flip-angles of magnetization-prepared gradient echo (MP-GRE) sequences for improved accuracy, precision, and speed of 3D-T1rho mapping. Methods: We propose a new optimization approach for finding variable flip-a
Externí odkaz:
http://arxiv.org/abs/2211.09214
Purpose: To propose an alternating learning approach to learn the sampling pattern (SP) and the parameters of variational networks (VN) in accelerated parallel magnetic resonance imaging (MRI). Methods: The approach alternates between improving the S
Externí odkaz:
http://arxiv.org/abs/2110.14703
Autor:
Gutor, Sergey S., Richmond, Bradley W., Agrawal, Vineet, Brittain, Evan L., Shaver, Ciara M., Wu, Pingsheng, Boyle, Taryn K., Mallugari, Ravinder R., Douglas, Katrina, Piana, Robert N., Johnson, Joyce E., Miller, Robert F., Newman, John H., Blackwell, Timothy S., Polosukhin, Vasiliy V.
Publikováno v:
In Cardiovascular Pathology July-August 2024 71
Inorganic glasses, produced by the melt-quenching of a concoction of minerals, compounds, and elements, can possess unique optical and elastic properties along with excellent chemical, and thermal durability. Despite the ubiquitous use of glasses for
Externí odkaz:
http://arxiv.org/abs/2103.12050
Autor:
Zaki, Mohd, Venugopal, Vineeth, Ravinder, R., Bishnoi, Suresh, Singh, Sourabh Kumar, Allu, Amarnath R., Jayadeva, Krishnan, N. M. Anoop
Due to their excellent optical properties, glasses are used for various applications ranging from smartphone screens to telescopes. Developing compositions with tailored Abbe number (Vd) and refractive index (nd), two crucial optical properties, is a
Externí odkaz:
http://arxiv.org/abs/2103.03633
Purpose: A fast data-driven optimization approach, named bias-accelerated subset selection (BASS), is proposed for learning efficacious sampling patterns (SPs) with the purpose of reducing scan time in large-dimensional parallel MRI. Methods: BASS is
Externí odkaz:
http://arxiv.org/abs/2011.02322
Gaussian process regression (GPR) is a useful technique to predict composition--property relationships in glasses as the method inherently provides the standard deviation of the predictions. However, the technique remains restricted to small datasets
Externí odkaz:
http://arxiv.org/abs/2007.02795
Akademický článek
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Autor:
Yoon, Jin-Young, Greiner, Alexander M., Jacobs, Julia S., Kim, Young-Rae, Rasmussen, Tyler P., Kutschke, William J., Matasic, Daniel S., Vikram, Ajit, Gaddam, Ravinder R., Mehdi, Haider, Irani, Kaikobad, London, Barry
Publikováno v:
In Heart Rhythm November 2023 20(11):1548-1557