{"id":"https://openalex.org/W3026997834","doi":"https://doi.org/10.1109/isbi45749.2020.9098650","title":"Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weighted MRI Data","display_name":"Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weighted MRI Data","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3026997834","doi":"https://doi.org/10.1109/isbi45749.2020.9098650","mag":"3026997834"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5005061365","display_name":"Nicolas Basty","orcid":"https://orcid.org/0000-0002-1330-0913"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nicolas Basty","raw_affiliation_strings":["Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330633","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0003-2745-6940"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Calico Life Sciences LLC, South San Francisco, United States"],"affiliations":[{"raw_affiliation_string":"Calico Life Sciences LLC, South San Francisco, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060028365","display_name":"Madeleine Cule","orcid":"https://orcid.org/0000-0002-7400-5643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madeleine Cule","raw_affiliation_strings":["Calico Life Sciences LLC, South San Francisco, United States"],"affiliations":[{"raw_affiliation_string":"Calico Life Sciences LLC, South San Francisco, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067497811","display_name":"E. Louise Thomas","orcid":"https://orcid.org/0000-0003-4235-4694"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"E. Louise Thomas","raw_affiliation_strings":["Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057380504","display_name":"Jimmy D. Bell","orcid":"https://orcid.org/0000-0003-3804-1281"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jimmy D. Bell","raw_affiliation_strings":["Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014958681","display_name":"Brandon Whitcher","orcid":"https://orcid.org/0000-0002-6452-2399"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Brandon Whitcher","raw_affiliation_strings":["Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005061365"],"corresponding_institution_ids":["https://openalex.org/I94951947"],"apc_list":null,"apc_paid":null,"fwci":1.2522,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82072067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9810000061988831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6905611157417297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6060381531715393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6019939184188843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5617128610610962},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5591381788253784},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47254180908203125},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.46111416816711426},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4419122040271759},{"id":"https://openalex.org/keywords/pancreas","display_name":"Pancreas","score":0.43649280071258545},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3927156925201416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35240811109542847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18173456192016602},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1391296684741974}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6905611157417297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6060381531715393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6019939184188843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5617128610610962},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5591381788253784},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47254180908203125},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.46111416816711426},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4419122040271759},{"id":"https://openalex.org/C2778764654","wikidata":"https://www.wikidata.org/wiki/Q9618","display_name":"Pancreas","level":2,"score":0.43649280071258545},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3927156925201416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35240811109542847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18173456192016602},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1391296684741974},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:westminsterresearch.westminster.ac.uk:qz1vx","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ISBI45749.2020.9098650","pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"conference-paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W855272188","https://openalex.org/W1967657836","https://openalex.org/W2032728945","https://openalex.org/W2097326430","https://openalex.org/W2128529945","https://openalex.org/W2154312373","https://openalex.org/W2616275380","https://openalex.org/W2754594045","https://openalex.org/W2795209768","https://openalex.org/W2806281237","https://openalex.org/W2906122346","https://openalex.org/W2945755328","https://openalex.org/W2946217929","https://openalex.org/W2962914239","https://openalex.org/W2963637377","https://openalex.org/W2979447397","https://openalex.org/W6623831209","https://openalex.org/W6679185893","https://openalex.org/W6727244432"],"related_works":["https://openalex.org/W1473737476","https://openalex.org/W2949162897","https://openalex.org/W2061432289","https://openalex.org/W2276571074","https://openalex.org/W4300003799","https://openalex.org/W2158582019","https://openalex.org/W1500087777","https://openalex.org/W1970204757","https://openalex.org/W4214513620","https://openalex.org/W2157102420"],"abstract_inverted_index":{"We":[0,63],"present":[1,25],"an":[2,124],"automated":[3],"method":[4,35,117],"for":[5,109],"estimation":[6],"of":[7,40,54,94,106,112,127,130,142,146],"proton":[8,131],"density":[9,132],"fat":[10,67,133],"fraction":[11,134],"and":[12,21,50,68,120,122,135],"iron":[13,69,136],"concentration":[14,137],"in":[15,26,71],"the":[16,27,52,55,60,66,72,75,82,103,107,113,139],"pancreas":[17,73],"using":[18,45,74],"both":[19],"structural":[20],"quantitative":[22],"imaging":[23],"data":[24,44],"UK":[28],"Biobank":[29],"abdominal":[30],"MRI":[31,43],"acquisition":[32],"protocol.":[33],"Our":[34,85],"relies":[36],"on":[37,81,96,148],"automatic":[38],"segmentation":[39,77,86,111],"3D":[41,110],"T1-weighted":[42],"a":[46,79,89],"convolutional":[47],"neural":[48],"network":[49],"extracting":[51],"location":[53],"multi":[56],"-echo":[57],"slice":[58],"through":[59],"segmented":[61],"volume.":[62],"finally":[64],"estimate":[65],"content":[70],"extracted":[76],"as":[78],"mask":[80],"multi-echo":[83,151],"data.":[84,152],"model":[87],"achieves":[88],"mean":[90],"dice":[91],"similarity":[92],"coefficient":[93],"0.842\u00b10.071":[95],"unseen":[97],"data,":[98],"which":[99],"is":[100,118],"comparable":[101],"to":[102],"current":[104,140],"state":[105],"art":[108],"pancreas.":[114],"The":[115],"proposed":[116],"efficient":[119],"robust":[121],"enables":[123],"enhanced":[125],"analysis":[126],"spatial":[128],"distribution":[129],"over":[138],"practice":[141],"manually":[143],"placing":[144],"regions":[145],"interest":[147],"often":[149],"ambiguous":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-05-29T00:00:00"}
