Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nanda K. Siva"'
Autor:
Nanda K. Siva, Christopher Bauer, Colson Glover, Alexander Stolin, Sonia Chandi, Helen Melnick, Gary Marano, Benjamin Parker, MaryBeth Mandich, James W. Lewis, Jinyi Qi, Si Gao, Kaylee Nott, Stan Majewski, Julie A. Brefczynski-Lewis
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract Background Mobile upright PET devices have the potential to enable previously impossible neuroimaging studies. Currently available options are imagers with deep brain coverage that severely limit head/body movements or imagers with upright/m
Externí odkaz:
https://doaj.org/article/3dcafaab4c5d434cb74e2195dc0ab6b1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract To provide accurate predictions, current machine learning-based solutions require large, manually labeled training datasets. We implement persistent homology (PH), a topological tool for studying the pattern of data, to analyze echocardiogra
Externí odkaz:
https://doaj.org/article/75edddf52eed4b85b55cae6b2cac4bf7
Autor:
Quincy A. Hathaway, Naveena Yanamala, Nanda K. Siva, Donald A. Adjeroh, John M. Hollander, Partho P. Sengupta
Publikováno v:
Journal of the American College of Cardiology. 80:2187-2201
Changes in cardiac size, myocardial mass, cardiomyocyte appearance, and, ultimately, the function of the entire organ are interrelated features of cardiac remodeling that profoundly affect patient outcomes.This study proposes that the application of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c3d213f9231441d3b448231e7471285
https://doi.org/10.1016/j.jacc.2022.09.036
https://doi.org/10.1016/j.jacc.2022.09.036