Professor Tim Seidler
University Medical Centre of Gottingen (UMG), Goettingen (Germany)
Member of:
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Refined prediction and validation of individual risk using machine learning in transcatheter aortic valve implantation: TAVI Risk Machine (TRIM) scores
Event: ESC Congress 2021 - The Digital Experience
Topic: Outcome
Session: Interventional Cardiology ePosters
Echocardiographic estimation of mean pulmonary artery pressure - a comparison of different approaches to predict pulmonary hypertension
Event: ESC Congress 2017
Topic: Chronic pulmonary hypertension
Session: Pulmonary hypertension: pathophysiology
Outcome of interventional treatment for access site complications in transfemoral aortic valve implantation
Event: ESC Congress 2016
Topic: Surgery and intervention in valve disease
Session: Valvular disease
