Three contrasts in 3 min: Rapid, high‐resolution, and bone‐selective <scp>UTE MRI</scp> for craniofacial imaging with automated deep‐learning skull segmentation
Authors
Brandon C. Jones (ORCID: https://orcid.org/0000-0002-9352-5521)
Chamith S. Rajapakse (ORCID: https://orcid.org/0000-0002-9247-833X)
Brian-Tinh Vu (ORCID: https://orcid.org/0000-0001-5326-1245)
Jinggang J. Ng (ORCID: https://orcid.org/0000-0002-1180-7526)
Hee Kwon Song (ORCID: https://orcid.org/0000-0003-3677-115X)
Hyunyeol Lee (ORCID: https://orcid.org/0000-0002-3941-6578)
Three contrasts in 3 min: Rapid, high‐resolution, and bone‐selective UTE MRI for craniofacial imaging with automated deep‐learning skull segmentation
Brandon C. Jones, Chamith S. Rajapakse, Brian-Tinh Vu, Jinggang J. Ng et al.
Citations
5 citations
Journal
Magnetic Resonance in Medicine
Topics
Advanced MRI Techniques and Applications
Field-Weighted Citation Impact (FWCI)
2.02
article
Three contrasts in 3 min: Rapid, high‐resolution, and bone‐selective UTE MRI for craniofacial imaging with automated deep‐learning skull segmentation
Brandon C. Jones, Chamith S. Rajapakse, Brian-Tinh Vu, Jinggang J. Ng, Hee Kwon Song, Hyunyeol Lee, Nada Kamona, Felix Werner Wehrli, Yo-Han Kim, Scott Paul P. Bartlett
article en
5 citations
Abstract
No abstract available for this paper.
Publication Tag
Magnetic Resonance in MedicineVol. 93(1)
Institutions
Children's Hospital of Philadelphia (US), Kyungpook National University (KR), University of Pennsylvania (US)
Funders
National Science Foundation, National Institutes of Health, National Science Foundation of Sri Lanka