文献
J-GLOBAL ID:201802265159001959
整理番号:18A1033313
空気流と吸入粒子属性の数値特性化による構造化肺システムにおける物質沈着評価【JST・京大機械翻訳】
Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes
著者 (11件):
Lalas Antonios
(Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece)
,
Nousias Stavros
(Department of Electrical and Computer Engineering, University of Patras, Patra, Greece)
,
Kikidis Dimitrios
(Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece)
,
Lalos Aris
(Department of Electrical and Computer Engineering, University of Patras, Patra, Greece)
,
Arvanitis Gerasimos
(Department of Electrical and Computer Engineering, University of Patras, Patra, Greece)
,
Sougles Christos
(Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece)
,
Moustakas Konstantinos
(Department of Electrical and Computer Engineering, University of Patras, Patra, Greece)
,
Votis Konstantinos
(Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece)
,
Verbanck Sylvia
(Respiratory Division, University Hospital UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium)
,
Usmani Omar
(National Heart and Lung Institute (NHLI), Imperial College London and Royal Brompton Hospital, London, UK)
,
Tzovaras Dimitrios
(Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece)
資料名:
BMC Medical Informatics and Decision Making (Web)
(BMC Medical Informatics and Decision Making (Web))
巻:
17
号:
3
ページ:
173
発行年:
2017年
JST資料番号:
U7433A
ISSN:
1472-6947
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)