FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3034926329> ?p ?o ?g. }

• W3034926329 endingPage "106772" @default.
• W3034926329 startingPage "106772" @default.
• W3034926329 abstract "Multidimensional nuclear magnetic resonance (NMR) spectroscopy is used to examine the chemical structures of the studied systems. Unfortunately, the application of NMR spectra is limited by their long acquisition time, especially for 3D, 4D, and higher dimensional spectra. Non-uniform sampling (NUS) has been widely recognized as a powerful tool to reduce the NMR experimental time. But the quality of NUS spectra depends on appropriate reconstruction algorithms. As an effective data processing method, deep learning has been widely used in many fields in recent years. In this work, a deep learning-based strategy for fast reconstruction of non-uniform sampling NMR spectra is proposed. In our experiments, the proposed deep neural network has better performance in removing artifacts and preserving weak peaks than typical convolutional neural networks of U-Net and DenseNet. Besides, a novel approach of generating training data is utilized to reduce the computational burden of neural networks, and thus training our network can be easier and faster than previous deep learning-based works. Compared with the two currently available methods, SMILE and hmsIST, our strategy can provide comparable reconstruction quality in terms of peak intensities and the fidelity of peak shape. The reconstruction time of our methods is also comparable to or faster than the two methods, especially for 3D spectra." @default.
• W3034926329 created "2020-06-19" @default.
• W3034926329 creator A5031835150 @default.
• W3034926329 creator A5047536976 @default.
• W3034926329 creator A5060435114 @default.
• W3034926329 creator A5088723986 @default.
• W3034926329 date "2020-08-01" @default.
• W3034926329 modified "2023-10-17" @default.
• W3034926329 title "Fast reconstruction of non-uniform sampling multidimensional NMR spectroscopy via a deep neural network" @default.
• W3034926329 cites W1970900326 @default.
• W3034926329 cites W2017710713 @default.
• W3034926329 cites W2025086029 @default.
• W3034926329 cites W2043706469 @default.
• W3034926329 cites W2046282779 @default.
• W3034926329 cites W2054231753 @default.
• W3034926329 cites W2071677464 @default.
• W3034926329 cites W2072091318 @default.
• W3034926329 cites W2080811541 @default.
• W3034926329 cites W2100495367 @default.
• W3034926329 cites W2109163609 @default.
• W3034926329 cites W2137876183 @default.
• W3034926329 cites W2145287260 @default.
• W3034926329 cites W2194775991 @default.
• W3034926329 cites W2317462515 @default.
• W3034926329 cites W2552603604 @default.
• W3034926329 cites W2562637781 @default.
• W3034926329 cites W2591941642 @default.
• W3034926329 cites W2758396775 @default.
• W3034926329 cites W2778924750 @default.
• W3034926329 cites W2801888297 @default.
• W3034926329 cites W2892350043 @default.
• W3034926329 cites W2897455831 @default.
• W3034926329 cites W2916798096 @default.
• W3034926329 cites W2955007765 @default.
• W3034926329 cites W2959135669 @default.
• W3034926329 cites W2963446712 @default.
• W3034926329 cites W2963577679 @default.
• W3034926329 cites W2963909253 @default.
• W3034926329 doi "https://doi.org/10.1016/j.jmr.2020.106772" @default.
• W3034926329 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32589585" @default.
• W3034926329 hasPublicationYear "2020" @default.
• W3034926329 type Work @default.
• W3034926329 sameAs 3034926329 @default.
• W3034926329 citedByCount "22" @default.
• W3034926329 countsByYear W30349263292020 @default.
• W3034926329 countsByYear W30349263292021 @default.
• W3034926329 countsByYear W30349263292022 @default.
• W3034926329 countsByYear W30349263292023 @default.
• W3034926329 crossrefType "journal-article" @default.
• W3034926329 hasAuthorship W3034926329A5031835150 @default.
• W3034926329 hasAuthorship W3034926329A5047536976 @default.
• W3034926329 hasAuthorship W3034926329A5060435114 @default.
• W3034926329 hasAuthorship W3034926329A5088723986 @default.
• W3034926329 hasConcept C106131492 @default.
• W3034926329 hasConcept C108583219 @default.
• W3034926329 hasConcept C11413529 @default.
• W3034926329 hasConcept C121332964 @default.
• W3034926329 hasConcept C1276947 @default.
• W3034926329 hasConcept C140779682 @default.
• W3034926329 hasConcept C153180895 @default.
• W3034926329 hasConcept C154945302 @default.
• W3034926329 hasConcept C20326153 @default.
• W3034926329 hasConcept C28855332 @default.
• W3034926329 hasConcept C31972630 @default.
• W3034926329 hasConcept C41008148 @default.
• W3034926329 hasConcept C46141821 @default.
• W3034926329 hasConcept C4839761 @default.
• W3034926329 hasConcept C50644808 @default.
• W3034926329 hasConcept C66974803 @default.
• W3034926329 hasConcept C67787023 @default.
• W3034926329 hasConcept C81363708 @default.
• W3034926329 hasConceptScore W3034926329C106131492 @default.
• W3034926329 hasConceptScore W3034926329C108583219 @default.
• W3034926329 hasConceptScore W3034926329C11413529 @default.
• W3034926329 hasConceptScore W3034926329C121332964 @default.
• W3034926329 hasConceptScore W3034926329C1276947 @default.
• W3034926329 hasConceptScore W3034926329C140779682 @default.
• W3034926329 hasConceptScore W3034926329C153180895 @default.
• W3034926329 hasConceptScore W3034926329C154945302 @default.
• W3034926329 hasConceptScore W3034926329C20326153 @default.
• W3034926329 hasConceptScore W3034926329C28855332 @default.
• W3034926329 hasConceptScore W3034926329C31972630 @default.
• W3034926329 hasConceptScore W3034926329C41008148 @default.
• W3034926329 hasConceptScore W3034926329C46141821 @default.
• W3034926329 hasConceptScore W3034926329C4839761 @default.
• W3034926329 hasConceptScore W3034926329C50644808 @default.
• W3034926329 hasConceptScore W3034926329C66974803 @default.
• W3034926329 hasConceptScore W3034926329C67787023 @default.
• W3034926329 hasConceptScore W3034926329C81363708 @default.
• W3034926329 hasFunder F4320321001 @default.
• W3034926329 hasFunder F4320335787 @default.
• W3034926329 hasLocation W30349263291 @default.
• W3034926329 hasOpenAccess W3034926329 @default.
• W3034926329 hasPrimaryLocation W30349263291 @default.
• W3034926329 hasRelatedWork W1442493988 @default.
• W3034926329 hasRelatedWork W2000174988 @default.
• W3034926329 hasRelatedWork W2322430059 @default.
• W3034926329 hasRelatedWork W3029198973 @default.

• next