Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA

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Veröffentlicht in:	Journal of cardiovascular magnetic resonance 2014-01, Vol.16 (Suppl 1), p.P218-P218, Article P218
Hauptverfasser:	Ishida, Masaki, Nakayama, Ryohei, Uno, Mio, Ito, Tatsuro, Goto, Yoshitaka, Ichikawa, Yasutaka, Nagata, Motonori, Kitagawa, Kakuya, Nakamori, Shiro, Dohi, Kaoru, Ito, Masaaki, Sakuma, Hajime
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Sprache:	eng
Schlagworte:	Poster Presentation
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creator	Ishida, Masaki Nakayama, Ryohei Uno, Mio Ito, Tatsuro Goto, Yoshitaka Ichikawa, Yasutaka Nagata, Motonori Kitagawa, Kakuya Nakamori, Shiro Dohi, Kaoru Ito, Masaaki Sakuma, Hajime
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doi_str_mv	10.1186/1532-429X-16-S1-P218
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source	DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Springer Nature OA Free Journals; PubMed Central; Alma/SFX Local Collection
subjects	Poster Presentation
title	Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA
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