ArticlePhysics in medicine and biology2022
Domain knowledge driven 3D dose prediction using moment-based loss function.
Article in Physics in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 22 citations in OpenAlex.
- Automatic adaptive radiotherapy triggering based on CBCT using deep learning for esophageal cancer underwent volumetric modulated arc therapy.Journal of applied clinical medical physics · 2026Article
- Evaluating dose distribution in prostate IMRT patients using deep learning: the influence of loss function on model performance.Physical and engineering sciences in medicine · 2026Article
- Prescription‑dose stratification improves deep learning‑based VMAT dose prediction in locally advanced NSCLC.Scientific reports · 2026Article
- A few-shot u-net learning framework for fast and accurate three-dimensional dose prediction in radiotherapy.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2025Article
- Compressed radiotherapy treatment planning: A new paradigm for rapid and high-quality treatment planning optimization.Medical physics · 2025Article
- A deep learning model to predict dose distributions for breast cancer radiotherapy.Discover oncology · 2025Article
- Evaluation of deep learning-based deliverable VMAT plan generated by prototype software for automated planning for prostate cancer patients.Journal of radiation research · 2023Article
- Automated VMAT treatment planning using sequential convex programming: algorithm development and clinical implementation.Physics in medicine and biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
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.