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Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4045001/ http://dx.doi.org/10.1186/1532-429X-16-S1-P218 |
| _version_ | 1782319235035299840 |
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| author | Ishida, Masaki Nakayama, Ryohei Uno, Mio Ito, Tatsuro Goto, Yoshitaka Ichikawa, Yasutaka Nagata, Motonori Kitagawa, Kakuya Nakamori, Shiro Dohi, Kaoru Ito, Masaaki Sakuma, Hajime |
| author_facet | Ishida, Masaki Nakayama, Ryohei Uno, Mio Ito, Tatsuro Goto, Yoshitaka Ichikawa, Yasutaka Nagata, Motonori Kitagawa, Kakuya Nakamori, Shiro Dohi, Kaoru Ito, Masaaki Sakuma, Hajime |
| author_sort | Ishida, Masaki |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-4045001 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2014 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-40450012014-06-19 Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA Ishida, Masaki Nakayama, Ryohei Uno, Mio Ito, Tatsuro Goto, Yoshitaka Ichikawa, Yasutaka Nagata, Motonori Kitagawa, Kakuya Nakamori, Shiro Dohi, Kaoru Ito, Masaaki Sakuma, Hajime J Cardiovasc Magn Reson Poster Presentation BioMed Central 2014-01-16 /pmc/articles/PMC4045001/ http://dx.doi.org/10.1186/1532-429X-16-S1-P218 Text en Copyright © 2014 Ishida et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| spellingShingle | Poster Presentation Ishida, Masaki Nakayama, Ryohei Uno, Mio Ito, Tatsuro Goto, Yoshitaka Ichikawa, Yasutaka Nagata, Motonori Kitagawa, Kakuya Nakamori, Shiro Dohi, Kaoru Ito, Masaaki Sakuma, Hajime Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA |
| title | Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA |
| title_full | Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA |
| title_fullStr | Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA |
| title_full_unstemmed | Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA |
| title_short | Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA |
| title_sort | learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5t whole-heart coronary mra |
| topic | Poster Presentation |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4045001/ http://dx.doi.org/10.1186/1532-429X-16-S1-P218 |
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