Matches in SemOpenAlex for { <https://semopenalex.org/work/W2758395749> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2758395749 abstract "In multi-echo imaging, multiple T1/T2 weighted images of the same cross section is acquired. Acquiring multiple scans is time consuming. In order to accelerate, compressed sensing based techniques have been proposed. In recent times, it has been observed in several areas of traditional compressed sensing, that instead of using fixed basis (wavelet, DCT etc.), considerably better results can be achieved by learning the basis adaptively from the data. Motivated by these studies, we propose to employ such adaptive learning techniques to improve reconstruction of multi-echo scans. This work will be based on two basis learning models - synthesis (better known as dictionary learning) and analysis (known as transform learning). We modify these basic methods by incorporating structure of the multi-echo scans. Our work shows that we can indeed significantly improve multi-echo imaging over compressed sensing based techniques and other unstructured adaptive sparse recovery methods." @default.
- W2758395749 created "2017-10-06" @default.
- W2758395749 creator A5020310463 @default.
- W2758395749 creator A5040930648 @default.
- W2758395749 creator A5061490660 @default.
- W2758395749 date "2018-01-01" @default.
- W2758395749 modified "2023-10-18" @default.
- W2758395749 title "Multi-echo reconstruction from partial K-space scans via adaptively learnt basis" @default.
- W2758395749 cites W1913261825 @default.
- W2758395749 cites W1972898607 @default.
- W2758395749 cites W1977000175 @default.
- W2758395749 cites W1990828988 @default.
- W2758395749 cites W1994281301 @default.
- W2758395749 cites W2000789223 @default.
- W2758395749 cites W2001380973 @default.
- W2758395749 cites W2002932002 @default.
- W2758395749 cites W2047621143 @default.
- W2758395749 cites W2059479352 @default.
- W2758395749 cites W2070678378 @default.
- W2758395749 cites W2081976260 @default.
- W2758395749 cites W2101675075 @default.
- W2758395749 cites W2114122776 @default.
- W2758395749 cites W2115331407 @default.
- W2758395749 cites W2117882039 @default.
- W2758395749 cites W2119047398 @default.
- W2758395749 cites W2147846067 @default.
- W2758395749 cites W2154672679 @default.
- W2758395749 cites W2168668658 @default.
- W2758395749 cites W2189938900 @default.
- W2758395749 cites W2215528301 @default.
- W2758395749 cites W2247312011 @default.
- W2758395749 cites W2963789209 @default.
- W2758395749 cites W3125735862 @default.
- W2758395749 doi "https://doi.org/10.1016/j.mri.2017.09.011" @default.
- W2758395749 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28964843" @default.
- W2758395749 hasPublicationYear "2018" @default.
- W2758395749 type Work @default.
- W2758395749 sameAs 2758395749 @default.
- W2758395749 citedByCount "4" @default.
- W2758395749 countsByYear W27583957492018 @default.
- W2758395749 countsByYear W27583957492019 @default.
- W2758395749 countsByYear W27583957492020 @default.
- W2758395749 crossrefType "journal-article" @default.
- W2758395749 hasAuthorship W2758395749A5020310463 @default.
- W2758395749 hasAuthorship W2758395749A5040930648 @default.
- W2758395749 hasAuthorship W2758395749A5061490660 @default.
- W2758395749 hasBestOaLocation W27583957492 @default.
- W2758395749 hasConcept C12426560 @default.
- W2758395749 hasConcept C124851039 @default.
- W2758395749 hasConcept C134306372 @default.
- W2758395749 hasConcept C153180895 @default.
- W2758395749 hasConcept C154945302 @default.
- W2758395749 hasConcept C2524010 @default.
- W2758395749 hasConcept C2779426996 @default.
- W2758395749 hasConcept C31258907 @default.
- W2758395749 hasConcept C31972630 @default.
- W2758395749 hasConcept C33923547 @default.
- W2758395749 hasConcept C41008148 @default.
- W2758395749 hasConcept C47432892 @default.
- W2758395749 hasConcept C5917680 @default.
- W2758395749 hasConceptScore W2758395749C12426560 @default.
- W2758395749 hasConceptScore W2758395749C124851039 @default.
- W2758395749 hasConceptScore W2758395749C134306372 @default.
- W2758395749 hasConceptScore W2758395749C153180895 @default.
- W2758395749 hasConceptScore W2758395749C154945302 @default.
- W2758395749 hasConceptScore W2758395749C2524010 @default.
- W2758395749 hasConceptScore W2758395749C2779426996 @default.
- W2758395749 hasConceptScore W2758395749C31258907 @default.
- W2758395749 hasConceptScore W2758395749C31972630 @default.
- W2758395749 hasConceptScore W2758395749C33923547 @default.
- W2758395749 hasConceptScore W2758395749C41008148 @default.
- W2758395749 hasConceptScore W2758395749C47432892 @default.
- W2758395749 hasConceptScore W2758395749C5917680 @default.
- W2758395749 hasLocation W27583957491 @default.
- W2758395749 hasLocation W27583957492 @default.
- W2758395749 hasLocation W27583957493 @default.
- W2758395749 hasOpenAccess W2758395749 @default.
- W2758395749 hasPrimaryLocation W27583957491 @default.
- W2758395749 hasRelatedWork W1982584880 @default.
- W2758395749 hasRelatedWork W2110022960 @default.
- W2758395749 hasRelatedWork W2130622405 @default.
- W2758395749 hasRelatedWork W2157948133 @default.
- W2758395749 hasRelatedWork W2490448610 @default.
- W2758395749 hasRelatedWork W2541950815 @default.
- W2758395749 hasRelatedWork W2758395749 @default.
- W2758395749 hasRelatedWork W2995576929 @default.
- W2758395749 hasRelatedWork W3202799688 @default.
- W2758395749 hasRelatedWork W4287995555 @default.
- W2758395749 isParatext "false" @default.
- W2758395749 isRetracted "false" @default.
- W2758395749 magId "2758395749" @default.
- W2758395749 workType "article" @default.