Siemens AG, Healthcare Sector

Improving the Sensitivity to Myocardial Scar in Automatic Segmentations of Left Ventricular Myocardium on LGE Images (2022) Vornehm M, Fenski M, Preuhs E, Maier A, Schulz-Menger J, Wetzl J, Giese D Conference contribution, Abstract of a poster CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling (2022) Denzinger F, Wels M, Taubmann O, Gülsün MA, Schöbinger M, Andre F, Buss SJ, et al. Conference contribution Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection (2022) Thamm F, Taubmann O, Jürgens M, Thamm A, Denzinger F, Rist L, Ditt H, Maier A Conference contribution 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 MRI as a Stressor: The Psychological and Physiological Response of Patients to MRI, Influencing Factors, and Consequences (2022) Madl J, Janka RM, Bay S, Rohleder N Journal article 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 Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease (2022) Nous FMA, Geisler T, Kruk MBP, Alkadhi H, Kitagawa K, Vliegenthart R, Hell M, et al. Journal article Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning (2022) Popp A, Taubmann O, Thamm F, Ditt H, Maier A, Breininger K Conference contribution