文献
J-GLOBAL ID:202202226568061378
整理番号:22A1088933
先天性心疾患における大動脈成長を研究するための縦断的統計アトラスモデルの実現可能性【JST・京大機械翻訳】
Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease
著者 (10件):
Sophocleous Froso
(Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK)
,
Bone Alexandre
(ARAMIS Lab, ICM, Inserm U1127, CNRS UMR 7225, Sorbonne University, Inria, Paris, France)
,
Shearn Andrew I.U.
(Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK)
,
Forte Mari Nieves Velasco
(Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK)
,
Bruse Jan L.
(Vicomtech Foundation, Basque Research and Technology Alliance BRTA, Mikeletegi 57, 20009, Donostia-San Sebastian, Spain)
,
Caputo Massimo
(Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK)
,
Caputo Massimo
(Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK)
,
Biglino Giovanni
(Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK)
,
Biglino Giovanni
(Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK)
,
Biglino Giovanni
(National Heart and Lung Institute, Imperial College London, London, UK)
資料名:
Computers in Biology and Medicine
(Computers in Biology and Medicine)
巻:
144
ページ:
Null
発行年:
2022年
JST資料番号:
E0858A
ISSN:
0010-4825
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)