Wellens Syndrome: prevalence, risk factors and coronary angiographic variation. A cross-sectional study
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Wellens Syndrome: prevalence, risk factors and coronary angiographic variation. A cross-sectional study ; volume:24 ; number:1 ; day:1 ; month:2 ; year:2024 ; pages:1-13 ; date:12.2024
BMC cardiovascular disorders ; 24, Heft 1 (1.2.2024), 1-13, 12.2024
- Creator
-
Mohamed, Sami
Abdelaziz, Samoal
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12872-024-03752-y
- URN
-
urn:nbn:de:101:1-2024041215362004655937
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:46 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mohamed, Sami
- Abdelaziz, Samoal
- SpringerLink (Online service)
Other Objects (12)
Coronary heart disease : clinical, angiographic and pathologic profiles
Angiographic profile of coronary arteries in Keralite population
Coronary artery anomalies in North Indian population: a conventional coronary angiographic study
Coronary artery segmentation in angiographic videos utilizing spatial-temporal information
WCC 2017-A-112: CT Angiographic Assessment of Coronary Artery Bypass Graft
Dietary protein and plasma total homocysteine, cysteine concentrations in coronary angiographic subjects
A randomized controlled trial of simulation training in teaching coronary angiographic views
Non-invasive fractional flow reserve estimation in coronary arteries using angiographic images
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS
Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images
Angiographic evaluation of radial artery injury after transradial approach for percutaneous coronary intervention
Angiographic characteristics of coronary artery disease in patients undergoing diagnostic coronary angiography at a tertiary hospital in Tanzania
Coronary heart disease : clinical, angiographic and pathologic profiles
Angiographic profile of coronary arteries in Keralite population
Coronary artery anomalies in North Indian population: a conventional coronary angiographic study
Coronary artery segmentation in angiographic videos utilizing spatial-temporal information
WCC 2017-A-112: CT Angiographic Assessment of Coronary Artery Bypass Graft
Dietary protein and plasma total homocysteine, cysteine concentrations in coronary angiographic subjects
A randomized controlled trial of simulation training in teaching coronary angiographic views
Non-invasive fractional flow reserve estimation in coronary arteries using angiographic images
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS
Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images
Angiographic evaluation of radial artery injury after transradial approach for percutaneous coronary intervention
Angiographic characteristics of coronary artery disease in patients undergoing diagnostic coronary angiography at a tertiary hospital in Tanzania
Coronary heart disease : clinical, angiographic and pathologic profiles
Angiographic profile of coronary arteries in Keralite population
Coronary artery anomalies in North Indian population: a conventional coronary angiographic study
Coronary artery segmentation in angiographic videos utilizing spatial-temporal information
WCC 2017-A-112: CT Angiographic Assessment of Coronary Artery Bypass Graft
Dietary protein and plasma total homocysteine, cysteine concentrations in coronary angiographic subjects
A randomized controlled trial of simulation training in teaching coronary angiographic views
Non-invasive fractional flow reserve estimation in coronary arteries using angiographic images
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS
Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images
Angiographic evaluation of radial artery injury after transradial approach for percutaneous coronary intervention