Seung Su Yoon

Lehrstuhl für Informatik 5 (Mustererkennung)

Fully automated AI-based cardiac motion parameter extraction – application to mitral and tricuspid valves on long-axis cine MR images (2023) Yoon SS, Fischer C, Amsel D, Monzon M, Toupin S, Pezel T, Garot J, et al. Journal article Analysis of an AI-based prototype for user-independent automated cardiac MRI (CMR) scanning (2023) Haenel A, Wetzl J, Yoon SS, Schmidt M, Weißgerber AB, Barkhausen J, Frydrychowicz A Conference contribution, Abstract of lecture AI-based Single-Click Cardiac MRI Exam: Initial Clinical Experience and Evaluation in 44 Patients (2023) Wetzl J, Yoon SS, Schmidt M, Haenel A, Weißgerber AB, Barkhausen J, Frydrychowicz A Conference contribution, Abstract of lecture Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery (2023) Yoon SS, Preuhs E, Schmidt M, Forman C, Chitiboi T, Sharma P, Fernandes JL, et al. Journal article Neural network-based fully automated cardiac resting phase detection algorithm compared with manual detection in patients (2022) Ogawa R, Kido T, Shiraishi Y, Yagi Y, Yoon SS, Wetzl J, Schmidt M, Kido T Journal article Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI (2022) Yoon SS, Gadjimuradov F, Schmidt M, Wetzl J, Maier A Conference contribution, Abstract of lecture Fully automatic AI-based valve motion parameter extraction on long axis CINE images – application on N=11000 patient datasets (2022) Yoon SS, Fischer C, Toupin S, Pezel T, Garot J, Wetzl J, Maier A, Giese D Conference contribution, Abstract of lecture Diffeomorphic Image Registration for CINE Cardio MR images using deep learning (2022) Amsel D, Yoon SS, Wetzl J, Maier A Conference contribution, Abstract of a poster Automated Time Adjusted Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging – Validation and Application on Patient Datasets (2022) Yoon SS, Schmidt M, Rick M, Chitiboi T, Sharma P, Emrich T, Tillmanns C, et al. Conference contribution, Abstract of a poster Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets (2022) Yoon SS, Fischer C, Toupin S, Pezel T, Garot J, Wetzl J, Maier A, Giese D Conference contribution, Abstract of lecture