{"id":"https://openalex.org/W4391129528","doi":"https://doi.org/10.1109/iccp60212.2023.10398648","title":"A Deep Learning-based Fully Automated Approach for Body Composition Analysis in 3D Whole Body Dixon MRI","display_name":"A Deep Learning-based Fully Automated Approach for Body Composition Analysis in 3D Whole Body Dixon MRI","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4391129528","doi":"https://doi.org/10.1109/iccp60212.2023.10398648"},"language":"en","primary_location":{"id":"doi:10.1109/iccp60212.2023.10398648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp60212.2023.10398648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5093767754","display_name":"Saied Ramedani","orcid":"https://orcid.org/0000-0003-0085-9555"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]},{"id":"https://openalex.org/I130692619","display_name":"Bern University of Applied Sciences","ror":"https://ror.org/02bnkt322","country_code":"CH","type":"education","lineage":["https://openalex.org/I130692619"]},{"id":"https://openalex.org/I2801112126","display_name":"University Hospital of Bern","ror":"https://ror.org/01q9sj412","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I2801112126"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Saied Ramedani","raw_affiliation_strings":["University of Bern,Graduate School of Cellular and Biomedical Sciences,Bern,Switzerland","Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland","Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bern,Graduate School of Cellular and Biomedical Sciences,Bern,Switzerland","institution_ids":["https://openalex.org/I118564535","https://openalex.org/I130692619"]},{"raw_affiliation_string":"Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]},{"raw_affiliation_string":"Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland","institution_ids":["https://openalex.org/I2801112126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008672992","display_name":"Majid Ramedani","orcid":null},"institutions":[{"id":"https://openalex.org/I2801496451","display_name":"German Primate Center","ror":"https://ror.org/02f99v835","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2801496451","https://openalex.org/I315704651"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Majid Ramedani","raw_affiliation_strings":["Functional Imaging Laboratory, German Primate Center,G&#x00F6;ttingen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Functional Imaging Laboratory, German Primate Center,G&#x00F6;ttingen,Germany","institution_ids":["https://openalex.org/I2801496451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031063057","display_name":"Hendrik von Tengg\u2010Kobligk","orcid":"https://orcid.org/0000-0003-3207-3223"},"institutions":[{"id":"https://openalex.org/I2801112126","display_name":"University Hospital of Bern","ror":"https://ror.org/01q9sj412","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I2801112126"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hendrik Von Tengg-Kobligk","raw_affiliation_strings":["Bern University Hospital,Interventional and Pediatric Radiology,Department of Diagnostic,Bern,Switzerland","Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bern University Hospital,Interventional and Pediatric Radiology,Department of Diagnostic,Bern,Switzerland","institution_ids":["https://openalex.org/I2801112126"]},{"raw_affiliation_string":"Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland","institution_ids":["https://openalex.org/I2801112126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101937586","display_name":"Keivan Daneshvar","orcid":"https://orcid.org/0000-0002-0345-0379"},"institutions":[{"id":"https://openalex.org/I2801112126","display_name":"University Hospital of Bern","ror":"https://ror.org/01q9sj412","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I2801112126"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Keivan Daneshvar Ghorbani","raw_affiliation_strings":["Bern University Hospital,Interventional and Pediatric Radiology,Department of Diagnostic,Bern,Switzerland","Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bern University Hospital,Interventional and Pediatric Radiology,Department of Diagnostic,Bern,Switzerland","institution_ids":["https://openalex.org/I2801112126"]},{"raw_affiliation_string":"Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland","institution_ids":["https://openalex.org/I2801112126"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6675,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71030303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"287","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12279","display_name":"Body Composition Measurement Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T12279","display_name":"Body Composition Measurement Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10397","display_name":"Nutrition and Health in Aging","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T12979","display_name":"Cardiovascular Disease and Adiposity","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.8760927319526672},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8087286949157715},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7531976103782654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397544980049133},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.6545987129211426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6428048014640808},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.611960768699646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5637096166610718},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5604509115219116},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.50491863489151},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4683009684085846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3332972228527069},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1325027048587799},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12222433090209961},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11621612310409546}],"concepts":[{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.8760927319526672},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8087286949157715},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7531976103782654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397544980049133},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.6545987129211426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6428048014640808},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.611960768699646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5637096166610718},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5604509115219116},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.50491863489151},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4683009684085846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3332972228527069},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1325027048587799},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12222433090209961},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11621612310409546},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccp60212.2023.10398648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp60212.2023.10398648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},{"id":"pmh:oai:boris.unibe.ch:189954","is_oa":false,"landing_page_url":"https://boris.unibe.ch/189954/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401086","display_name":"Bern Open Repository and Information System (University of Bern)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118564535","host_organization_name":"University of Bern","host_organization_lineage":["https://openalex.org/I118564535"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ramedani, Saied; Ramedani, Majid; von Tengg-Kobligk, Hendrik; Daneshvar, Keivan (October 2023). A Deep Learning-based Fully Automated Approach for Body Composition Analysis in 3D Whole Body Dixon MRI (Unpublished). In: International Conference on Intelligent Computer Communication and Processing (IEEE ICCP). Romania.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1579717823","https://openalex.org/W1901129140","https://openalex.org/W1975733844","https://openalex.org/W2029425568","https://openalex.org/W2057005980","https://openalex.org/W2057597513","https://openalex.org/W2079763059","https://openalex.org/W2112340265","https://openalex.org/W2117852695","https://openalex.org/W2125930781","https://openalex.org/W2127890285","https://openalex.org/W2173335268","https://openalex.org/W2329518209","https://openalex.org/W2798122215","https://openalex.org/W2873670318","https://openalex.org/W2914363005","https://openalex.org/W2951476032","https://openalex.org/W2967079887","https://openalex.org/W2980100386","https://openalex.org/W2980315759","https://openalex.org/W2981994710","https://openalex.org/W2995412459","https://openalex.org/W2997028236","https://openalex.org/W2999320181","https://openalex.org/W3000391499","https://openalex.org/W3004671629","https://openalex.org/W3010075181","https://openalex.org/W3020873385","https://openalex.org/W3083100768","https://openalex.org/W3096579235","https://openalex.org/W3098509689","https://openalex.org/W3101019686","https://openalex.org/W3112931158","https://openalex.org/W3186636280","https://openalex.org/W3200007511","https://openalex.org/W3212515199","https://openalex.org/W4200078853","https://openalex.org/W4200284340","https://openalex.org/W4205209997","https://openalex.org/W4285596523","https://openalex.org/W4289932557","https://openalex.org/W4296095742","https://openalex.org/W4319293705","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W4402926319","https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W4286233748","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"An":[0],"imbalanced":[1],"ratio":[2,26],"of":[3,12,24,32,42,95,103,141,159,167],"body":[4,43],"fat":[5,33],"to":[6,46,84,194],"muscle":[7,35],"mass":[8],"increases":[9],"the":[10,28,93,100,134,152,157,168,175,184],"risk":[11],"fatal":[13],"illnesses,":[14],"such":[15],"as":[16],"cardiovascular":[17],"diseases,":[18],"diabetes,":[19],"and":[20,30,34,39,90,162,190],"cancers.":[21],"The":[22,118,144,165,179,199],"analysis":[23],"this":[25,98],"requires":[27],"detection":[29],"segmentation":[31,41,53,112],"in":[36],"medical":[37],"images":[38],"precise":[40],"composition":[44],"helps":[45],"analyze":[47],"more":[48],"efficiently.":[49],"Many":[50],"existing":[51],"commercial":[52],"methods":[54],"are":[55],"either":[56],"manual":[57],"or":[58,64],"semi-automatic,":[59],"requiring":[60],"intervention":[61],"from":[62,147],"reviewers":[63],"specialists.":[65],"This":[66],"paper":[67],"introduces":[68],"a":[69,77,104,126],"fully":[70,105],"automatic":[71],"machine":[72],"learning":[73],"method":[74,186],"that":[75,183],"utilizes":[76],"3D":[78,119,127],"U-Net":[79,153],"based":[80],"Convolutional":[81],"Neural":[82],"Network":[83],"automatically":[85],"segment":[86],"muscles,":[87,160],"adipose":[88,163],"tissues":[89],"bones.":[91],"To":[92],"best":[94],"our":[96],"knowledge,":[97],"is":[99,133,187],"first":[101],"application":[102],"convolutional":[106],"neural":[107],"network(CNN)":[108],"architecture":[109],"for":[110,137],"whole-body":[111,120],"using":[113,125,174],"magnetic":[114],"resonance":[115],"imaging":[116],"(MRI).":[117],"MRI":[121],"scans":[122],"were":[123],"obtained":[124],"two-point":[128],"Dixon":[129],"VIBE":[130],"sequence,":[131],"which":[132,155],"latest":[135],"advancements":[136],"obtaining":[138],"four":[139],"types":[140],"MR":[142],"images.":[143],"acquired":[145],"data":[146,204],"14":[148],"subjects":[149],"fed":[150],"into":[151],"model,":[154],"outputs":[156],"volumes":[158],"bone,":[161],"tissues.":[164],"performance":[166],"designed":[169],"network":[170],"was":[171],"quantitatively":[172],"evaluated":[173],"Dice":[176,201],"coefficient":[177],"(Dice).":[178],"experimental":[180],"results":[181],"demonstrate":[182],"proposed":[185],"both":[188],"simple":[189],"robust":[191],"when":[192],"compared":[193],"other":[195],"studies":[196],"on":[197,202],"human.":[198],"average":[200],"selected":[203],"reached":[205],"0.86.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
