| dc.contributor.author | Kulasekara, M. | |
| dc.contributor.author | Dinh, V. Q. | |
| dc.contributor.author | Fernández del Valle, María | |
| dc.contributor.author | Klingensmith, J. D. | |
| dc.date.accessioned | 2022-11-08T12:43:18Z | |
| dc.date.available | 2022-11-08T12:43:18Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Medical and Biological Engineering and Computing, 60(8), p. 2291-2306 (2022); doi:10.1007/s11517-022-02612-1 | |
| dc.identifier.issn | 0140-0118 | |
| dc.identifier.uri | http://hdl.handle.net/10651/65430 | |
| dc.description.sponsorship | National Heart, Lung, and Blood Institute of the National Institutes of Health [R15HL145576] | |
| dc.format.extent | p. 2291-2306 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Medical and Biological Engineering and Computing | |
| dc.rights | © Springer Nature | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132157667&doi=10.1007%2fs11517-022-02612-1&partnerID=40&md5=01946fa9df41e96671586f5f0d0091dc | |
| dc.title | Comparison of two-dimensional and three-dimensional u-net architectures for segmentation of adipose tissue in cardiac magnetic resonance images | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1007/s11517-022-02612-1 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/s11517-022-02612-1 | |
