An unsupervised 2D–3D deformable registration network (2D3D-RegNet) for cone-beam CT estimation is a research paper published in Physics in Medicine and Biology (2021). On theSindex it has a DataRank of 0. It has been cited 31 times.
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National Institutes of Health
Grant: R01 CA240808
National Institutes of Health
Grant: 5R01CA240808-04
Accurate 4D Liver Tumor Localization for Radiotherapy using Contrast-Agent-Free X-ray Imaging and Liver Biomechanical Modeling
UT Southwestern Medical Center Seed Grant
FWCI
2.92
Citation Percentile
0.9%
Citation Trend
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