Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tamas Bodnar"'
Autor:
Kata Pártos, David Major, Norbert Dósa, Vince Fazekas-Pongor, Adam G. Tabak, Zoltán Ungvári, Ildikó Horváth, Ildikó Barta, Éva Pozsgai, Tamás Bodnár, Gergely Fehér, Zsófia Lenkey, Mónika Fekete, Zsolt Springó
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionLow socioeconomic status affects not only diagnosis rates and therapy of patients with diabetes mellitus but also their health behavior. Our primary goal was to examine diagnosis rates and therapy of individuals with diabetes living in Or
Externí odkaz:
https://doaj.org/article/dbd2d0f3f071443488885313c8bb8bad
Autor:
Tamás Simor, Tamas Bodnar, Zsofia Lenkey, Levente Tóth, Akos Varga-Szemes, Ada Elgavish, Gabriel A. Elgavish, Robert Kirschner, Rob J. van der Geest, Brigitta C. Brott
Publikováno v:
Journal of Magnetic Resonance Imaging. 43:911-920
Purpose To test whether signal intensity percent infarct mapping (SI-PIM) accurately determines the size of myocardial infarct (MI) regardless of infarct age. Materials and Methods Forty-five swine with reperfused MI underwent 1.5T late gadolinium en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44dc76b162afad7502cedbd95dad33be
https://doi.org/10.1002/jmri.25046
https://doi.org/10.1002/jmri.25046
Autor:
Zsofia, Lenkey, Akos, Varga-Szemes, Tamas, Simor, Rob J, van der Geest, Robert, Kirschner, Levente, Toth, Tamas, Bodnar, Brigitta C, Brott, Ada, Elgavish, Gabriel A, Elgavish
Publikováno v:
Journal of magnetic resonance imaging : JMRI. 43(4)
To test whether signal intensity percent infarct mapping (SI-PIM) accurately determines the size of myocardial infarct (MI) regardless of infarct age.Forty-five swine with reperfused MI underwent 1.5T late gadolinium enhancement (LGE) magnetic resona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6e3c3ffe1ca880ba4e82fbd6e6b48fb0
https://pubmed.ncbi.nlm.nih.gov/26354594
https://pubmed.ncbi.nlm.nih.gov/26354594
Autor:
Dániel Kondor, László Dobos, János Szüle, József Stéger, Gábor Vattay, Tamas Hanyecz, Zsófia Kallus, Tamas Bodnar, István Csabai, Tamas Sebok
Publikováno v:
2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom).
Despite their relatively low sampling factor, the freely available, randomly sampled status streams of Twitter are very useful sources of geographically embedded social network data. To statistically analyze the information Twitter provides via these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a9f499d02a309bf4f52575644c95218
https://doi.org/10.1109/coginfocom.2013.6719259
https://doi.org/10.1109/coginfocom.2013.6719259