Siemens AG

Industry / private company


Location: München, Erlangen, Nürnberg, Germany (DE) DE

ISNI: 000000012178835X

ROR: https://ror.org/059mq0909

Show on Map:


close-button

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Unpublished / Preprint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

Deep learning-based denoising of mammographic images using physics-driven data augmentation (2020) Eckert D, Vesal S, Ritschl L, Kappler S, Maier A Conference contribution Fully-automatic CT data preparation for interventional X-ray skin dose simulation (2020) Roser P, Birkhold A, Preuhs A, Stimpel B, Syben C, Strobel N, Kowarschik M, et al. Conference contribution, Conference Contribution Impact of the non-negativity constraint in model-based iterative reconstruction from CT data (2019) Haase V, Hahn K, Schöndube H, Stierstorfer K, Maier A, Noo F Journal article, Review article Physics-driven learning of x-ray skin dose distribution in interventional procedures (2019) Roser P, Zhong X, Birkhold A, Strobel N, Kowarschik M, Fahrig R, Maier A Journal article, Original article Intuitive Interaction with Virtual Commissioning of Production Systems for Design Validation (2019) Metzner M, Krieg L, Merhof J, Ködel T, Franke J Journal article Digital System Protection Design – A New Toolchain For Protection System Automation (2019) Meyer J, Biller M, Jäger J, Dauer M, Romeis C, Krebs R, Shang-Jaeger L, et al. Conference contribution, Conference Contribution Methodology for digital planning and virtual validation of retroactively automated assembly systems (2019) Metzner M, Barth F, Bönig J, Franke J Book chapter / Article in edited volumes Modelling of Energy Storage Devices and Converters for Energy Flow Simulation in Plant Simulation (2019) Tur B, Fischer E, Franke J, Bergs C, Schulze C Book chapter / Article in edited volumes Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations (2019) Hariharan SG, Kaethner C, Strobel N, Kowarschik M, Albarqouni S, Fahrig R, Navab N Conference contribution Evaluation of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Vasculature (2019) Lang S, Schmidt M, Eisenhut F, Kaethner C, Kowarschik M, Lücking H, Dörfler A, Hölter P Journal article