Article in Physics in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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
11 authors.
Di XuDepartment of Radiation Oncology, University of California, San Francisco, CA, United States of America.ORCID 0000-0001-5587-5275
Xin MiaoSiemens Healthineers, Malvern, PA, United States of America.
Hengjie LiuDepartment of Radiation Oncology, University of California, Los Angeles, CA, United States of America.
Jessica E ScholeyDepartment of Radiation Oncology, University of California, San Francisco, CA, United States of America.
Wensha YangDepartment of Radiation Oncology, University of California, San Francisco, CA, United States of America.
Mary FengDepartment of Radiation Oncology, University of California, San Francisco, CA, United States of America.
Michael OhligerDepartment of Radiology and Biomedical Engineering, University of California, San Francisco, CA, United States of America.
Hui LinDepartment of Radiation Oncology, University of California, San Francisco, CA, United States of America.
Yi LaoDepartment of Radiation Oncology, University of California, Los Angeles, CA, United States of America.
Yang YangDepartment of Radiology and Biomedical Engineering, University of California, San Francisco, CA, United States of America.ORCID 0000-0002-2841-4243
Ke ShengDepartment of Radiation Oncology, University of California, San Francisco, CA, United States of America.ORCID 0000-0002-6696-5409
Funding
Development of a versatile robotic radiation therapy systemR44CA183390 · NCI · RADIABEAM TECHNOLOGIES, LLC · PI SHENG, KE, YONEMOTO, JAY · 2017 to 2024
$5.8M
Development of an ultra-high dose rate rotational linac for FLASH RadiotherapyR01CA255432 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGUSTSSON, RONALD, SHENG, KE · 2021 to 2025
$3.2M
Multi-Task MR Simulation for Abdominal Radiation Treatment PlanningR01EB029088 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAN, ZHAOYANG, YANG, WENSHA · 2020 to 2023
$2.5M
Motion Management of Pancreatic Cancer in MRI-Guided RadiotherapyR01CA188300 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHENG, KE · 2015 to 2019
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.
Paired conditional generative adversarial network for highly accelerated liver 4D MRI. · full record | OpenQuestion