An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0.406. It has been cited 14 times.
Scored on demand from live citation data
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Base Score Contribution
0.406
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Medical Research Council
Grant: MR/T018119/1
Wellcome Trust
Grant: 201374/Z/16/Z
NICHD NIH HHS
Grant: U01 HD087202
Wellcome Trust
Grant: 201374
Non invasive assessment of human placental function by quantitative MRI
Wellcome Trust
Grant: 203148
King's College London Medical Engineering Centre of Research Excellence
National Institutes of Health
Grant: 1U01HD087202-01
Structure and function of the placenta from implantation to delivery: a next generation MRI approach
Wellcome Trust
Fields of Study
Keywords
Sustainable Development Goals