Article in Physics in medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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.
2 · The registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
4 authors.
Siqi YeDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305, United States of America.ORCID 0000-0002-2295-3123
Liyue ShenDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, United States of America.ORCID 0000-0001-5942-3196
Md Tauhidul IslamDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305, United States of America.ORCID 0000-0001-6259-632X
Lei XingDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305, United States of America.
Funding
Dual Modality X-ray Luminescence CT for in vivo Cancer ImagingR01CA227713 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2019 to 2023
$2.9M
Radioluminescence dosimetry solution for precision radiation therapyR01CA223667 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2018 to 2022
$2.4M
DASSIM-RT and Compressed Sensing-Based Inverse PlanningR01CA176553 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2014 to 2018
$2.4M
Leveraging deep learning for markerless motion management in radiation therapyR01CA256890 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2021 to 2025
$2.1M
Development of AI-Augmented quality assurance tools for radiation therapyR01CA275772 · NCI · STANFORD UNIVERSITY · PI Lei Xing · 2023 to 2026
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.
Super-resolution biomedical imaging via reference-free statistical implicit neural representation. · full record | OpenQuestion