文献
J-GLOBAL ID:201802248244645451
整理番号:18A2166129
k空間補間(RAKI)再構成のための走査特異ロバスト人工神経回路網:高速イメージングのためのデータベースを用いない深層学習【JST・京大機械翻訳】
Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging
著者 (7件):
Akcakaya Mehmet
(Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota)
,
Akcakaya Mehmet
(Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota)
,
Moeller Steen
(Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota)
,
Weingaertner Sebastian
(Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota)
,
Weingaertner Sebastian
(Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota)
,
Weingaertner Sebastian
(Computer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany)
,
Ugurbil Kamil
(Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota)
資料名:
Magnetic Resonance in Medicine
(Magnetic Resonance in Medicine)
巻:
81
号:
1
ページ:
439-453
発行年:
2019年
JST資料番号:
W2675A
ISSN:
0740-3194
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)