Diagnostik von in-stent-stenosen mittels ultrahochaufgelöster mehrzeilen-computertomographie

Thomas Schlosser; Stefan Ulzheimer; Thomas Voigtländer; Jörg Barkhausen; Raimund Erbel; Axel Schmermund

doi:10.1007/s00059-006-2789-7

Diagnostik von in-stent-stenosen mittels ultrahochaufgelöster mehrzeilen-computertomographie

Translated title of the contribution: Diagnosis of in-stent stenoses with ultra-high resolution multislice CT

Thomas Schlosser^*, Stefan Ulzheimer, Thomas Voigtländer, Jörg Barkhausen, Raimund Erbel, Axel Schmermund

^*Corresponding author for this work

Clinic of Radiology and Nuclear Medicine

Translated title of the contribution	Diagnosis of in-stent stenoses with ultra-high resolution multislice CT
Original language	German
Journal	Herz
Volume	31
Issue number	3
Number of pages	1
ISSN	0340-9937
DOIs	https://doi.org/10.1007/s00059-006-2789-7
Publication status	Published - 01.05.2006

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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10.1007/s00059-006-2789-7

Cite this

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title = "Diagnostik von in-stent-stenosen mittels ultrahochaufgel{\"o}ster mehrzeilen-computertomographie",

author = "Thomas Schlosser and Stefan Ulzheimer and Thomas Voigtl{\"a}nder and J{\"o}rg Barkhausen and Raimund Erbel and Axel Schmermund",

year = "2006",

month = may,

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doi = "10.1007/s00059-006-2789-7",

language = "Deutsch",

volume = "31",

journal = "Herz",

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T1 - Diagnostik von in-stent-stenosen mittels ultrahochaufgelöster mehrzeilen-computertomographie

AU - Schlosser, Thomas

AU - Ulzheimer, Stefan

AU - Voigtländer, Thomas

AU - Barkhausen, Jörg

AU - Erbel, Raimund

AU - Schmermund, Axel

PY - 2006/5/1

Y1 - 2006/5/1

UR - https://www.scopus.com/pages/publications/33745137870

U2 - 10.1007/s00059-006-2789-7

DO - 10.1007/s00059-006-2789-7

M3 - Zeitschriftenaufsätze

C2 - 16770564

AN - SCOPUS:33745137870

SN - 0340-9937

VL - 31

JO - Herz

JF - Herz

IS - 3

ER -

Diagnostik von in-stent-stenosen mittels ultrahochaufgelöster mehrzeilen-computertomographie

UN SDGs

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