ArticlePhysics and imaging in radiation oncology2020
Developments in deep learning based corrections of cone beam computed tomography to enable dose calculations for adaptive radiotherapy.
Article in Physics and imaging in radiation oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Quantitative stability of CT numbers in novel cone-beam CT: An intra-institution cross-scanner and longitudinal analysis.Journal of applied clinical medical physics · 2026Article
- Maintaining quality of scientific peer-review and publishing inPhysics and imaging in radiation oncology · 2026Article
- The promise of artificial intelligence-assisted radiotherapy for prostate cancer in Morocco: a transformational opportunity.Frontiers in medicine · 2025Article
- Proton dose calculation on cone-beam computed tomography using unsupervised 3D deep learning networks.Physics and imaging in radiation oncology · 2024Article
- Article
- Evaluation of a cone-beam computed tomography system calibrated for accurate radiotherapy dose calculation.Physics and imaging in radiation oncology · 2024Article
- Current and future developments of synthetic computed tomography generation for radiotherapy.Physics and imaging in radiation oncology · 2023Article
- Clinical evaluation of synthetic computed tomography methods in adaptive proton therapy of lung cancer patients.Physics and imaging in radiation oncology · 2023Article
- Surveying the clinical practice of treatment adaptation and motion management in particle therapy.Physics and imaging in radiation oncology · 2023Article
- Five years, 20 volumes and 300 publications ofPhysics and imaging in radiation oncology · 2022Article
- Impact of interfractional target motion in locally advanced cervical cancer patients treated with spot scanning proton therapy using an internal target volume strategy.Physics and imaging in radiation oncology · 2021Article
- Evaluation of anPhysics and imaging in radiation oncology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.