Siemens AG, Healthcare Sector

Industry / private company


Location: Erlangen u.a., Germany (DE) DE

ISNI: 0000000405524145

ROR: https://ror.org/0449c4c15

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Cone-beam CT trajectory optimization for metal artifact avoidance using ellipsoidal object parameterizations (2023) Rohleder M, Mekki L, Uneri A, Sisniega A, Kunze H, Kleinszig G, Maier A, et al. Conference contribution Promoting physical activity-related health competence to increase leisure-time physical activity and health-related quality of life in German private sector office workers (2023) Blaschke S, Carl J, Pelster K, Mess F 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 Introduction to “Realistic Simulation of real CT systems with a basic-qualified Simulation Software - CTSimU2“ (2023) Reuter T, Borges de Oliveira F, Abt C, Ballach F, Bartscher M, Bellon C, Dennerlein F, et al. Conference contribution, Conference Contribution The Liver Tumor Segmentation Benchmark (LiTS) (2023) Bilic P, Christ P, Li HB, Vorontsov E, Ben-Cohen A, Kaissis G, Szeskin A, et al. Journal article Accuracy of Dose-Saving Artificial-Intelligence-Based 3D Angiography (3DA) for Grading of Intracranial Artery Stenoses: Preliminary Findings (2023) Lang S, Hölter P, Schmidt M, Mrochen A, Kuramatsu J, Kaethner C, Roser P, et al. Journal article Deep learning-based accelerated T1 mapping for cardiac MRI (2023) Amsel D, Vornehm M, Wetzl J, Schmidt M, Knoll F Conference contribution, Abstract of a poster Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression (2023) Rist L, Taubmann O, Muhlberg A, Denzinger F, Thamm F, Sühling M, Norenberg D, et al. Conference contribution Towards Low-Latency Deep Learning-Based Reconstruction of Real-Time Cine MRI (2023) Vornehm M, Wetzl J, Giese D, Knoll F Conference contribution, Abstract of a poster Method for comparison of data driven gating algorithms in emission tomography (2023) Reymann M, Vija AH, Maier A Journal article, Original article