Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Aristeidis Androulakis"'
Autor:
Dimitrios Patsourakos, Konstantinos A. Gatzoulis, Constantina Aggeli, Sophia Delicou, Yannis Dimitroglou, Katerina Xydaki, Konstantinos Toutouzas, Aristeidis Androulakis, Dimitrios Tousoulis
Publikováno v:
Journal of Arrhythmia, Vol 36, Iss 5, Pp 920-928 (2020)
Abstract Background The majority of beta thalassemia major (β‐TM) patients suffer from cardiac disease, while a significant proportion of them die suddenly. Twelve‐lead and signal‐averaged electrocardiography (SAECG) are simple, inexpensive, r
Externí odkaz:
https://doaj.org/article/556d43dcf80c411099bc740bcab95e09
Autor:
Dimitrios Patsourakos, Constantina Aggeli, Konstantinos A. Gatzoulis, Sophia Delicou, Yannis Dimitroglou, Katerina Xydaki, Christina Fragodimitri, Aristeidis Androulakis, Konstantinos Tsioufis
Publikováno v:
Annals of Hematology. 101:1473-1483
The presence of atrial cardiomyopathy in β-thalassemia major (β-TM) patients complicates their clinical condition. The diagnosis is challenging even with cardiac magnetic resonance (CMR) imaging. Novel echocardiographic techniques are applied to in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a9adbdbe0171c5ccb08ff15920d659b
https://doi.org/10.1007/s00277-022-04842-7
https://doi.org/10.1007/s00277-022-04842-7
Autor:
Yannis Dimitroglou, Konstantinos Gatzoulis, Dimitrios Tousoulis, Aristeidis Androulakis, Katerina Xydaki, Sophia Delicou, Konstantinos Toutouzas, Constantina Aggeli, Dimitrios Patsourakos
Publikováno v:
Journal of Arrhythmia
Journal of Arrhythmia, Vol 36, Iss 5, Pp 920-928 (2020)
Journal of Arrhythmia, Vol 36, Iss 5, Pp 920-928 (2020)
Background The majority of beta thalassemia major (β‐TM) patients suffer from cardiac disease, while a significant proportion of them die suddenly. Twelve‐lead and signal‐averaged electrocardiography (SAECG) are simple, inexpensive, readily av
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb18241514f5dd3cdb8f18a9ccfce500
https://doi.org/10.1002/joa3.12412
https://doi.org/10.1002/joa3.12412
Autor:
Aristeidis Androulakis, Dimitrios A. Vrachatis, Christodoulos Stefanadis, Maria Kariori, Dimitris Tousoulis, Maria Lavda, Nikolaos Dagres, Evelina Mpei, Gerasimos Siasos, Manolis Vavuranakis, Konstantinos Kalogeras, Carmen Moldovan
Publikováno v:
International Journal of Cardiology. 176:1292-1293
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19599feae6ed51851ecb75080f06c20c
https://doi.org/10.1016/j.ijcard.2014.07.177
https://doi.org/10.1016/j.ijcard.2014.07.177
Autor:
Katerina Giannakaki, Konstantia Moirogiorgou, Michalis Zervakis, Nikolaos Anousakis-Vlachochristou, George K. Matsopoulos, Christoforos Komporozos, Vasileios Sourides, Georgios Katsimagklis, Maria Drakopoulou, Konstantinos Toutouzas, Catherine Avgeropoulou, Aristeidis Androulakis
Summarization: Automatic methods for heart disease recognition are a promising asset in precise diagnosis and prevention of complications. Regarding bicuspid aortic valve, for which this field is still limited, accurate aortic valve detection would b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c25222f3da8d696bfb6238efbaf68bfe
http://purl.tuc.gr/dl/dias/A5DF1B62-C7D1-480E-A572-3FA35330DBEE
http://purl.tuc.gr/dl/dias/A5DF1B62-C7D1-480E-A572-3FA35330DBEE
