UNC UMN Baby Connectome Project Consortium

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Harmonized neonatal brain MR image segmentation model for cross-site datasets”.

Harmonized neonatal brain MR image segmentation model for cross-site datasets

UNC Libraries(2024)10.17615/pdt8-t130

N/A

0DataRank · unranked

0 citations

Weili Lin, Gang Li, Yue Sun, Zhenghan Fang, Li Wang +2 more

Longitudinal development of the cerebellum in human infants during the first 800 days

UNC Libraries(2024)10.17615/m24y-zw44

N/A

0DataRank · unranked

0 citations

Wenhua Huang, Liangjun Chen, Zhengwang Wu, Yue Sun, UNC UMN Baby Connectome Project Consortium +7 more

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network

UNC Libraries(2024)10.17615/sfkd-z093

N/A

0DataRank · unranked

0 citations

Gang Li, UNC UMN Baby Connectome Project Consortium, Chunfeng Lian, Dinggang Shen, Shao, Wei +5 more

MR fingerprinting enables quantitative measures of brain tissue relaxation times and myelin water fraction in the first five years of life

UNC Libraries(2024)10.17615/071y-sj84

N/A

0DataRank · unranked

0 citations

Weili Lin, Yong Chen, Kristine Baluyot, Jordan Jimenez, Taylor Potts +2 more