Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes (bibtex)

by Lalas, Antonios and Nousias, Stavros and Kikidis, Dimitrios and Lalos, Aris and Arvanitis, Gerasimos and Sougles, Christos and Moustakas, Konstantinos and Votis, Konstantinos and Verbanck, Sylvia and Usmani, Omar and Tzovaras, Dimitrios

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Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes (Lalas, Antonios and Nousias, Stavros and Kikidis, Dimitrios and Lalos, Aris and Arvanitis, Gerasimos and Sougles, Christos and Moustakas, Konstantinos and Votis, Konstantinos and Verbanck, Sylvia and Usmani, Omar and Tzovaras, Dimitrios), In BMC Medical Informatics and Decision Making, volume 17, 2017.

Bibtex Entry:

@article{Lalas2017,
	author="Lalas, Antonios
		and Nousias, Stavros
		and Kikidis, Dimitrios
		and Lalos, Aris
		and Arvanitis, Gerasimos
		and Sougles, Christos
		and Moustakas, Konstantinos
		and Votis, Konstantinos
		and Verbanck, Sylvia
		and Usmani, Omar
		and Tzovaras, Dimitrios",
	title="Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes",
	journal="BMC Medical Informatics and Decision Making",
	year="2017",
	bibyear="2017",
	month="Dec",
	day="20",
	volume="17",
	number="3",
	pages="173",
	issn="1472-6947",
	doi="10.1186/s12911-017-0561-y",
	url="https://doi.org/10.1186/s12911-017-0561-y",
	call={preparatory},
	acronym={myAirCoach},
	fulltitle={Analysis, modelling and sensing of both physiological and environmental factors for the customized and predictive self-management of Asthma},
	pi={Dimitrios Tzovaras},
	affiliation={Centre of Research and Technology Hellas},
	researchfield={Physiology and Medicine},
}