Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Ranjan, Maitra"'
Autor:
Geoffrey Z. Thompson, Bishoy Dawood, Tianyu Yu, Barbara K. Lograsso, John D. Vanderkolk, Ranjan Maitra, William Q. Meeker, Ashraf F. Bastawros
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The complex jagged trajectory of fractured surfaces of two pieces of forensic evidence is used to recognize a “match” by using comparative microscopy and tactile pattern analysis. The material intrinsic properties and microstructures, as
Externí odkaz:
https://doaj.org/article/f30ca4bbff7b4dd4a0cc1b923d07f724
Autor:
William Gallus, Elizabeth Tirone, Subrata Pal, Somak Dutta, Ranjan Maitra, Jennifer Newman, Eric Weber
In the United States, the official database of severe thunderstorm wind reports arguably has more serious deficiencies than those of tornadoes and hail. Roughly 90% of the thunderstorm wind reports in the Storm Events database during the period 2007-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a02be7d4d9003b0360f1de6370398e
https://doi.org/10.5194/ecss2023-6
https://doi.org/10.5194/ecss2023-6
Publikováno v:
Magnetic resonance in medicineREFERENCES.
Personalized synthetic MRI (syn-MRI) uses MR images of an individual subject acquired at a few design parameters (echo time, repetition time, flip angle) to obtain underlying parametricOur DL enhancements employ a Deep Image Prior (DIP) with a U-net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f986011c074caa52d44acc1b205ca6
https://pubmed.ncbi.nlm.nih.gov/36420834
https://pubmed.ncbi.nlm.nih.gov/36420834
Autor:
Ranjan Maitra, Fan Dai
Publikováno v:
Technometrics. 62:1-286
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b557a795b14f3a96b1304313fb55fdb
https://doi.org/10.1080/00401706.2020.1744910
https://doi.org/10.1080/00401706.2020.1744910
Publikováno v:
J Comput Graph Stat
This paper proposes a novel profile likelihood method for estimating the covariance parameters in exploratory factor analysis of high-dimensional Gaussian datasets with fewer observations than number of variables. An implicitly restarted Lanczos algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f10c3009ebacba9f8c8d0965c07a0daf
https://doi.org/10.1080/10618600.2019.1704296
https://doi.org/10.1080/10618600.2019.1704296
Autor:
Emily Goren, Ranjan Maitra
Publikováno v:
Stat. 11
Partially recorded data are frequently encountered in many applications and usually clustered by first removing incomplete cases or features with missing values, or by imputing missing values, followed by application of a clustering algorithm to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e05b62438620f8edce2ae134be98d806
https://doi.org/10.1002/sta4.416
https://doi.org/10.1002/sta4.416
Autor:
Bishoy Dawood, Carlos Llosa‐Vite, Geoffrey Z. Thompson, Barbara K. Lograsso, Lauren K. Claytor, John Vanderkolk, William Meeker, Ranjan Maitra, Ashraf Bastawros
Publikováno v:
Journal of forensic sciences. 67(3)
Fractured surfaces carry unique details that can provide an accurate quantitative comparison to support comparative forensic analysis of those fractured surfaces. In this study, a statistical analysis comparison protocol was applied to a set of 3D to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13a282c5a5905be712b03873cc6a5a22
https://pubmed.ncbi.nlm.nih.gov/35253897
https://pubmed.ncbi.nlm.nih.gov/35253897
Autor:
Ranjan Maitra, Israel Almodóvar-Rivera
Publikováno v:
IEEE Transactions on Medical Imaging. 38:2821-2828
Functional Magnetic Resonance Imaging is a noninvasive tool for studying cerebral function. Many factors challenge activation detection, especially in low-signal scenarios that arise in the performance of high-level cognitive tasks. We provide a full
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90de59d53af9dc784ce163aece35072c
https://doi.org/10.1109/tmi.2019.2915052
https://doi.org/10.1109/tmi.2019.2915052
Autor:
Ranjan Maitra
Publikováno v:
IEEE Transactions on Image Processing. 28:5610-5619
A generalized cross-validation approach to estimate the reconstruction filter bandwidth in 2D filtered backprojection is presented. The method writes the reconstruction equation in equivalent backprojected filtering form, derives results on eigendeco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0121f0fc0463ba2ff9f12d24b4d44eea
https://doi.org/10.1109/tip.2019.2919428
https://doi.org/10.1109/tip.2019.2919428
We develop methodology for three-dimensional (3D) radial visualization (RadViz) of multidimensional datasets. The classical two-dimensional (2D) RadViz visualizes multivariate data in the 2D plane by mapping every observation to a point inside the un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bda43fa6ee8be531d8779ea92fdf309