{"id":"https://openalex.org/W2902773229","doi":"https://doi.org/10.1109/tbme.2018.2856501","title":"Computer-Vision Techniques for Water-Fat Separation in Ultra High-Field MRI Local Specific Absorption Rate Estimation","display_name":"Computer-Vision Techniques for Water-Fat Separation in Ultra High-Field MRI Local Specific Absorption Rate Estimation","publication_year":2018,"publication_date":"2018-07-16","ids":{"openalex":"https://openalex.org/W2902773229","doi":"https://doi.org/10.1109/tbme.2018.2856501","mag":"2902773229","pmid":"https://pubmed.ncbi.nlm.nih.gov/30010546"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2018.2856501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2856501","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019432249","display_name":"\u00c1ngel Torrado-Carvajal","orcid":"https://orcid.org/0000-0002-1540-2809"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angel Torrado-Carvajal","raw_affiliation_strings":["Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1540-2809","affiliations":[{"raw_affiliation_string":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I4210127055","https://openalex.org/I136199984","https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012779418","display_name":"Yi\u011fitcan Eryaman","orcid":"https://orcid.org/0009-0006-7880-9872"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210158702","display_name":"Resonance Research (United States)","ror":"https://ror.org/05t871q54","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158702"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yigitcan Eryaman","raw_affiliation_strings":["Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota","institution_ids":["https://openalex.org/I4210158702","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112212860","display_name":"Esra Abac\u0131 T\u00fcrk","orcid":"https://orcid.org/0000-0003-0246-8793"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Esra Abaci Turk","raw_affiliation_strings":["Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital"],"raw_orcid":"https://orcid.org/0000-0003-0246-8793","affiliations":[{"raw_affiliation_string":"Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023448964","display_name":"Joaqu\u00edn L. Herraiz","orcid":"https://orcid.org/0000-0001-7208-8863"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joaquin L. Herraiz","raw_affiliation_strings":["Research Laboratory of Electronics, Massachusetts Institute of Technology"],"raw_orcid":"https://orcid.org/0000-0001-7208-8863","affiliations":[{"raw_affiliation_string":"Research Laboratory of Electronics, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050683782","display_name":"Juan A. Hern\u00e1ndez\u2010Tamames","orcid":null},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan A. Hernandez-Tamames","raw_affiliation_strings":["Medical Image Analysis and Biometry Lab, Universidad Rey Juan Carlos"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Image Analysis and Biometry Lab, Universidad Rey Juan Carlos","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021214192","display_name":"Elfar Adalsteinsson","orcid":"https://orcid.org/0000-0002-7637-2914"},"institutions":[{"id":"https://openalex.org/I4210092658","display_name":"Harvard\u2013MIT Division of Health Sciences and Technology","ror":"https://ror.org/00jjeh629","country_code":"US","type":"education","lineage":["https://openalex.org/I4210092658"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elfar Adalsteinsson","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, the Harvard-MIT Health Sciences and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, the Harvard-MIT Health Sciences and Technology","institution_ids":["https://openalex.org/I4210092658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005761034","display_name":"Lawrence L. Wald","orcid":"https://orcid.org/0000-0001-8278-6307"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence L. Wald","raw_affiliation_strings":["Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School"],"raw_orcid":"https://orcid.org/0000-0001-8278-6307","affiliations":[{"raw_affiliation_string":"Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School","institution_ids":["https://openalex.org/I4210127055","https://openalex.org/I136199984","https://openalex.org/I4210087915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051945931","display_name":"Norberto Malpica","orcid":"https://orcid.org/0000-0003-4618-7459"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Norberto Malpica","raw_affiliation_strings":["Medical Image Analysis and Biometry Lab, Universidad Rey Juan Carlos"],"raw_orcid":"https://orcid.org/0000-0003-4618-7459","affiliations":[{"raw_affiliation_string":"Medical Image Analysis and Biometry Lab, Universidad Rey Juan Carlos","institution_ids":["https://openalex.org/I182083151"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3702,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66507076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"66","issue":"3","first_page":"768","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11279","display_name":"Lanthanide and Transition Metal Complexes","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6182039380073547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4790038764476776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39817172288894653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3652713894844055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3236510157585144}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6182039380073547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4790038764476776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39817172288894653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3652713894844055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3236510157585144}],"mesh":[{"descriptor_ui":"D000273","descriptor_name":"Adipose Tissue","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000273","descriptor_name":"Adipose Tissue","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000273","descriptor_name":"Adipose Tissue","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D000273","descriptor_name":"Adipose Tissue","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000273","descriptor_name":"Adipose Tissue","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000273","descriptor_name":"Adipose Tissue","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001834","descriptor_name":"Body Water","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001834","descriptor_name":"Body Water","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001834","descriptor_name":"Body Water","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001834","descriptor_name":"Body Water","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D001834","descriptor_name":"Body Water","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D001834","descriptor_name":"Body Water","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014867","descriptor_name":"Water","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D014867","descriptor_name":"Water","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D014867","descriptor_name":"Water","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2018.2856501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2856501","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:30010546","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30010546","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:pure.eur.nl:publications/5014539d-6030-4221-ab92-f1c7e143a697","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/5014539d-6030-4221-ab92-f1c7e143a697","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Torrado-Carvajal, A, Eryaman, Y, Turk, E A, Herraiz, J L, Hernandez-Tamames, J A, Adalsteinsson, E, Wald, L L & Malpica, N 2019, 'Computer-Vision Techniques for Water-Fat Separation in Ultra High-Field MRI Local Specific Absorption Rate Estimation', IEEE Transactions on Biomedical Engineering, vol. 66, no. 3, 8411472, pp. 768-774. https://doi.org/10.1109/TBME.2018.2856501","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G3442497252","display_name":null,"funder_award_id":"DPI2015-68664-C4-2-R","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W78661028","https://openalex.org/W1503429899","https://openalex.org/W1534081457","https://openalex.org/W1667869507","https://openalex.org/W1882516042","https://openalex.org/W1973207753","https://openalex.org/W1980835134","https://openalex.org/W1987947992","https://openalex.org/W1994943748","https://openalex.org/W1996295321","https://openalex.org/W2010587020","https://openalex.org/W2026084370","https://openalex.org/W2045125201","https://openalex.org/W2066828176","https://openalex.org/W2090483765","https://openalex.org/W2093723730","https://openalex.org/W2114740909","https://openalex.org/W2117340355","https://openalex.org/W2118631328","https://openalex.org/W2119171536","https://openalex.org/W2136396015","https://openalex.org/W2137281603","https://openalex.org/W2140796340","https://openalex.org/W2148347694","https://openalex.org/W2163595993","https://openalex.org/W2166657119","https://openalex.org/W2275815119","https://openalex.org/W2309693750","https://openalex.org/W2344001186","https://openalex.org/W2603611964","https://openalex.org/W4241074797"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"OBJECTIVE:":[0],"The":[1,187],"purpose":[2],"of":[3,74,189,221,275],"this":[4],"paper":[5],"is":[6],"to":[7],"prove":[8,234],"that":[9,235],"computer-vision":[10,237],"techniques":[11],"allow":[12],"synthesizing":[13],"water-fat":[14,26,41,48,52,66,214,244,263,273],"separation":[15,215,264],"maps":[16,90],"for":[17,200,242,248,261,266],"local":[18,70,96,194,249,269],"specific":[19,268],"absorption":[20],"rate":[21],"(SAR)":[22],"estimation,":[23,271],"when":[24,272],"patient-specific":[25,40,207,243,262],"images":[27,274],"are":[28,278],"not":[29,279],"available.":[30,280],"METHODS:":[31],"We":[32,43,62,94,204],"obtained":[33,44,64],"ground":[34],"truth":[35],"head":[36,208],"models":[37,49,67,209],"by":[38,228],"using":[39,210],"images.":[42],"two":[45],"different":[46,212],"label-fusion":[47,60],"generating":[50],"a":[51,69,99,157,236],"multiatlas":[53],"and":[54,58,82,85,107,114,119,134,142,148,156,167,175,180,217,224,246,265],"applying":[55,68],"the":[56,75,173,190,198,219,276],"STAPLE":[57],"local-MAP-STAPLE":[59],"methods.":[61],"also":[63],"patch-based":[65],"group-wise":[71],"weighted":[72],"combination":[73],"multiatlas.":[76],"Electromagnetic":[77],"(EM)":[78],"simulations":[79],"were":[80,91,197],"performed,":[81],"B1+":[83,222],"magnitude":[84],"10":[86,192],"g":[87],"averaged":[88],"SAR":[89,195,225,250,270],"generated.":[92],"RESULTS:":[93],"found":[95],"approaches":[97,216,257],"provide":[98],"high":[100],"DICE":[101],"overlap":[102],"(72.6":[103],"\u00b1":[104,109,116,121,130,136,144,150,164,169,177,182],"10.2%":[105],"fat":[106,118,133,147,166,179],"91.6":[108],"1.5%":[110],"water":[111,123,139,153,171,184],"in":[112,124,140,154,160,172,185,252],"local-MAP-STAPLE,":[113,141,174],"68.8":[115],"8.2%":[117],"91.1":[120],"1.0%":[122],"patch-based),":[125],"low":[126,158],"Hausdorff":[127],"distances":[128],"(18.6":[129],"7.7":[131],"mm":[132,138,146,152],"7.4":[135],"11.2":[137],"16.4":[143],"8.5":[145],"7.2":[149],"11.8":[151],"patch-based)":[155],"error":[159],"volume":[161],"estimation":[162,251],"(15.6":[163],"34.4%":[165],"5.6":[168],"4.1%":[170],"14.0":[176],"17.7%":[178],"4.7":[181],"2.8%":[183],"patch-based).":[186],"positions":[188],"peak":[191],"g-averaged":[193],"hotspots":[196],"same":[199],"every":[201],"model.":[202],"CONCLUSION:":[203],"have":[205],"created":[206],"three":[211],"computer-vision-based":[213],"compared":[218],"predictions":[220],"field":[223],"distributions":[226],"generated":[227],"simulating":[229],"these":[230],"models.":[231],"Our":[232],"results":[233],"approach":[238],"can":[239,258],"be":[240,259],"used":[241,260],"separation,":[245],"utilized":[247],"high-field":[253],"MRI.":[254],"SIGNIFICANCE:":[255],"Computer-vision":[256],"patient":[267,277]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}