Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Deep Ray"'
Autor:
Ragheb Raad, Deep Ray, Bino Varghese, Darryl Hwang, Inderbir Gill, Vinay Duddalwar, Assad A. Oberai
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Image imputation refers to the task of generating a type of medical image given images of another type. This task becomes challenging when the difference between the available images, and the image to be imputed is large. In this manuscript,
Externí odkaz:
https://doaj.org/article/c68ac7420c1a4f1ca1db16b68198f22e
Autor:
Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino Varghese, Darryl Hwang, Inderbir Gill, Vinay Duddalwar, Assad A. Oberai
Publikováno v:
Engineering with Computers. 38:3975-3986
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f886de7eb990c6a89c6c59b98cd6c8
https://doi.org/10.1007/s00366-022-01712-8
https://doi.org/10.1007/s00366-022-01712-8
Autor:
Ragheb Raad, Deep Ray, Bino Varghese, Darryl Hwang, Inderbir Gill, Vinay Duddalwar, Assad A. Oberai
Image imputation refers to the task of generating a type of medical image given images of another type. This task becomes challenging when the difference between the available images, and the image to be imputed is large. In this manuscript, one such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b044916e75e50e94910ee359c976a03c
https://doi.org/10.1101/2023.04.03.535422
https://doi.org/10.1101/2023.04.03.535422
Publikováno v:
Computational Geosciences. 25:1775-1792
A numerical method using discontinuous polynomial approximations is formulated for solving a phase-field model of two immiscible fluids with a soluble surfactant. The scheme recovers the Langmuir adsorption isotherms at equilibrium. Simulations of sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c12c4105c3088098b5cf40ee88fdca92
https://doi.org/10.1007/s10596-021-10073-y
https://doi.org/10.1007/s10596-021-10073-y
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 9:65-105
We establish a notion of random entropy solution for degenerate fractional conservation laws incorporating randomness in the initial data, convective flux, and diffusive flux. In order to quantify ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961b3fe2055c3f96f457b7063b6ea041
https://doi.org/10.1137/19m1279447
https://doi.org/10.1137/19m1279447
Brain extraction, which refers to the task of segmenting brain tissue in an MR image of a subject, forms an essential first step for many quantitative neuroimaging applications. These include quantifying grey and white matter volumes, monitoring neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0656233e0a97f29b3777be5c860dc9a9
https://doi.org/10.1101/2022.03.14.484346
https://doi.org/10.1101/2022.03.14.484346
Publikováno v:
SeMA Journal, 79 (3)
The essentially non-oscillatory (ENO) procedure and its variant, the ENO-SR procedure, are very efficient algorithms for interpolating (reconstructing) rough functions. We prove that the ENO (and ENO-SR) procedure are equivalent to deep ReLU neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aed36d3029066c77150e821f6074cd4
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 400:115428
Inverse problems are ubiquitous in nature, arising in almost all areas of science and engineering ranging from geophysics and climate science to astrophysics and biomechanics. One of the central challenges in solving inverse problems is tackling thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fbdcf93689e4e7153eb7fd3f05bdea6
https://doi.org/10.1016/j.cma.2022.115428
https://doi.org/10.1016/j.cma.2022.115428
Publikováno v:
Journal of Computational Physics. 384:289-307
A non-intrusive reduced-basis (RB) method is proposed for parametrized unsteady flows. A set of reduced basis functions are extracted from a collection of high-fidelity solutions via a proper orthogonal decomposition (POD), and the coefficients of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16054761d559166edee72de17f769ca9
https://doi.org/10.1016/j.jcp.2019.01.031
https://doi.org/10.1016/j.jcp.2019.01.031
The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to