Deutsche Nationalbibliothek
metadata only
How reliable is deep inspiration breath hold at CT simulation? Clinical impact of surface-guided breathing training in breast cancer radiotherapy / Lou Dietrich, Niklas Lackner, Andre Karius, Johann Brand, Rafael Lobao, Aliheydar Huseynli, Oliver J. Ott, Stefanie Corradini, Rainer Fietkau, Christoph Bert, Maya Shariff
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Impact of a new deep-learning image reconstruction algorithm on potential dose reduction and quality of chest CT images: a phantom study#262151
- Tomosynthesis of Pathologies of the Chest and Skeletal Structures in Comparison to CT#897665
- MRI Development for Radiotherapy Planning and Delivery in Non-Patient Volunteers#1095590
- Evaluation of Breast CT#831238
- Dual-Energy Computed Tomography for Improving Imaging Assessment of Multiple Myeloma#801682
Record · ID 675518
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive