NCBI PubMed Central
open access
Machine learning approach to estimation of in vivo measured dose and treatment planning for total body irradiation.
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
- DoseRAD2026 Challenge dataset: AI accelerated photon and proton dose calculation for radiotherapy#13145
- Artificial Intelligence in Radiation Treatment Planning: A Survey-Based Observational Study From A Cancer Centre in Nigeria.#165598
- Machine Learning and Artificial Intelligence in Radiation Oncology#10793
- Scientific and Clinical Studies on Variation in Individual Response to Ionising Radiation: A Scoping Review.#362140
- Real-world data on the impact of dose reduction measures on radiation exposure in CT perfusion of the brain#661864
Record · ID 185943
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