{"id":"https://openalex.org/W4400377743","doi":"https://doi.org/10.48550/arxiv.2407.01926","title":"Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior","display_name":"Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior","publication_year":2024,"publication_date":"2024-07-02","ids":{"openalex":"https://openalex.org/W4400377743","doi":"https://doi.org/10.48550/arxiv.2407.01926"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.01926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.01926","pdf_url":"https://arxiv.org/pdf/2407.01926","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.01926","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077197373","display_name":"Chaoxing Huang","orcid":"https://orcid.org/0000-0002-4497-1437"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huang, Chaoxing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101393784","display_name":"Ziqiang Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Ziqiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053023740","display_name":"Zijian Gao","orcid":"https://orcid.org/0000-0003-3864-738X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Zijian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104807130","display_name":"Qiuyi Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Qiuyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045637873","display_name":"Queenie Chan","orcid":"https://orcid.org/0000-0003-1270-995X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan, Queenie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003037377","display_name":"Vincent W. S. Wong","orcid":"https://orcid.org/0000-0003-3821-4365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wong, Vincent Wai-Sun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058365723","display_name":"Chiu\u2010Wing Winnie Chu","orcid":"https://orcid.org/0000-0003-4962-4132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Winnie Chiu-Wing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013602825","display_name":"Weitian Chen","orcid":"https://orcid.org/0000-0001-7242-9285"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Weitian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5077197373"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/double-bond","display_name":"Double bond","score":0.5597147345542908},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5574319362640381},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5526556968688965},{"id":"https://openalex.org/keywords/bond","display_name":"Bond","score":0.43145012855529785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4245387315750122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4195137023925781},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.37243252992630005},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1745072603225708},{"id":"https://openalex.org/keywords/organic-chemistry","display_name":"Organic chemistry","score":0.1421028971672058}],"concepts":[{"id":"https://openalex.org/C68381374","wikidata":"https://www.wikidata.org/wiki/Q258652","display_name":"Double bond","level":2,"score":0.5597147345542908},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5574319362640381},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5526556968688965},{"id":"https://openalex.org/C69738904","wikidata":"https://www.wikidata.org/wiki/Q11693","display_name":"Bond","level":2,"score":0.43145012855529785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4245387315750122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4195137023925781},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.37243252992630005},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1745072603225708},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.1421028971672058},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2407.01926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.01926","pdf_url":"https://arxiv.org/pdf/2407.01926","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2407.01926","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.01926","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.01926","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.01926","pdf_url":"https://arxiv.org/pdf/2407.01926","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400377743.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1567920078","https://openalex.org/W1992618509","https://openalex.org/W4311053312","https://openalex.org/W2078300415","https://openalex.org/W1987462040","https://openalex.org/W185971107","https://openalex.org/W4248680914","https://openalex.org/W1964687006","https://openalex.org/W2046558812","https://openalex.org/W2894118591"],"abstract_inverted_index":{"Fatty":[0],"acid":[1,25],"can":[2],"potentially":[3],"serve":[4],"as":[5],"biomarker":[6],"for":[7,22,42,67,215],"evaluating":[8],"metabolic":[9],"disorder":[10],"and":[11,14,48,102,114,199,218],"inflammation":[12],"condition,":[13],"quantifying":[15],"the":[16,20,43,65,83,111,115,133,143,147,151,160,164,183,186,194,222],"double":[17,46,50,197,201],"bonds":[18,47,51,198,202],"is":[19],"key":[21],"revealing":[23],"fatty":[24],"information.":[26],"This":[27],"study":[28,184],"presents":[29],"an":[30],"assessment":[31],"of":[32,45,52,91,126,146,153,188,196],"a":[33,73,88,108,122,155],"deep":[34],"learning":[35],"approach":[36],"utilizing":[37],"Deep":[38,189],"Image":[39,190],"Prior":[40,191],"(DIP)":[41],"quantification":[44,144,170,195],"methylene-interrupted":[49,200],"triglyceride":[53],"derived":[54,131],"from":[55,132,203],"chemical-shift":[56,204],"encoded":[57,205],"multi-echo":[58,206],"gradient":[59],"echo":[60],"images,":[61],"all":[62],"achieved":[63],"without":[64],"necessity":[66],"network":[68],"training.":[69],"The":[70,105,136],"methodology":[71],"implemented":[72],"cost":[74],"function":[75],"grounded":[76],"in":[77,138,192,221],"signal":[78],"constraints":[79],"to":[80],"continually":[81],"refine":[82],"neural":[84],"network's":[85],"parameters":[86],"on":[87],"single":[89],"slice":[90],"images":[92],"through":[93],"iterative":[94],"processes.":[95],"Validation":[96],"procedures":[97],"encompassed":[98],"both":[99],"phantom":[100,134,140],"experiments":[101],"in-vivo":[103,161],"scans.":[104],"outcomes":[106],"evidenced":[107],"concordance":[109],"between":[110],"quantified":[112],"values":[113],"established":[116],"reference":[117],"standards,":[118],"notably":[119],"exemplified":[120],"by":[121,167],"Pearson":[123],"correlation":[124],"coefficient":[125],"0.96":[127],"(p":[128],"=":[129],"0.0005)":[130],"experiments.":[135],"results":[137,171],"water-oil":[139],"also":[141],"demonstrate":[142],"reliability":[145],"DIP":[148],"method":[149],"under":[150],"condition":[152],"having":[154],"relatively":[156],"low-fat":[157],"signal.":[158],"Furthermore,":[159],"assessments":[162],"showcased":[163],"method's":[165],"competency":[166],"showcasing":[168],"consistent":[169],"that":[172],"closely":[173],"mirrored":[174],"previously":[175],"published":[176],"findings":[177],"concerning":[178],"subcutaneous":[179],"fat.":[180],"In":[181],"summary,":[182],"underscores":[185],"potential":[187,213],"enabling":[193],"magnetic":[207],"resonance":[208],"imaging":[209],"(MRI)":[210],"data,":[211],"suggesting":[212],"avenues":[214],"future":[216],"research":[217],"clinical":[219],"applications":[220],"field.":[223]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2024-07-06T00:00:00"}