{"id":"https://openalex.org/W2537785529","doi":"https://doi.org/10.1109/embc.2016.7590881","title":"3D knee segmentation based on three MRI sequences from different planes","display_name":"3D knee segmentation based on three MRI sequences from different planes","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2537785529","doi":"https://doi.org/10.1109/embc.2016.7590881","mag":"2537785529","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268503"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7590881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5060058992","display_name":"Lipu Zhou","orcid":"https://orcid.org/0000-0003-2148-393X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Zhou","raw_affiliation_strings":["Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079512030","display_name":"Ramnada Chav","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Chav","raw_affiliation_strings":["Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088953942","display_name":"Thierry Cresson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Cresson","raw_affiliation_strings":["Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072033636","display_name":"Gabriel Chartrand","orcid":"https://orcid.org/0000-0001-9645-7686"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Chartrand","raw_affiliation_strings":["Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008524238","display_name":"Jacques A. de Guise","orcid":"https://orcid.org/0000-0003-0728-6403"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. de Guise","raw_affiliation_strings":["Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de recherch\u00e9 en imagerie et orthop\u00e9die, CRCHUM, Montreal, QC, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5825,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73366347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"1042","last_page":"1045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9866999983787537,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9866999983787537,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9725000262260437,"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/sagittal-plane","display_name":"Sagittal plane","score":0.8286377191543579},{"id":"https://openalex.org/keywords/coronal-plane","display_name":"Coronal plane","score":0.7480024099349976},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7243901491165161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6454818248748779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6324814558029175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248411536216736},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.574199378490448},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5377706289291382},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4946136176586151},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.43829280138015747},{"id":"https://openalex.org/keywords/dicom","display_name":"DICOM","score":0.433319091796875},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.1758086383342743},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1643487513065338}],"concepts":[{"id":"https://openalex.org/C178910020","wikidata":"https://www.wikidata.org/wiki/Q2211994","display_name":"Sagittal plane","level":2,"score":0.8286377191543579},{"id":"https://openalex.org/C13483470","wikidata":"https://www.wikidata.org/wiki/Q1470152","display_name":"Coronal plane","level":2,"score":0.7480024099349976},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7243901491165161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6454818248748779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6324814558029175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248411536216736},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.574199378490448},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5377706289291382},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4946136176586151},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.43829280138015747},{"id":"https://openalex.org/C77331912","wikidata":"https://www.wikidata.org/wiki/Q81095","display_name":"DICOM","level":2,"score":0.433319091796875},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.1758086383342743},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1643487513065338},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D005269","descriptor_name":"Femur","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005269","descriptor_name":"Femur","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005269","descriptor_name":"Femur","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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013977","descriptor_name":"Tibia","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013977","descriptor_name":"Tibia","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013977","descriptor_name":"Tibia","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2016.7590881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268503","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268503","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:espace2.etsmtl.ca:14525","is_oa":false,"landing_page_url":"http://espace2.etsmtl.ca/id/eprint/14525/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W22105911","https://openalex.org/W133651055","https://openalex.org/W1978046161","https://openalex.org/W1988874269","https://openalex.org/W1993881635","https://openalex.org/W2083775921","https://openalex.org/W2118530859","https://openalex.org/W2121222027","https://openalex.org/W6600894309"],"related_works":["https://openalex.org/W2085797056","https://openalex.org/W3029575091","https://openalex.org/W3206109241","https://openalex.org/W2096492337","https://openalex.org/W2077123901","https://openalex.org/W2053950117","https://openalex.org/W2392728866","https://openalex.org/W4327677471","https://openalex.org/W2089641517","https://openalex.org/W4387260375"],"abstract_inverted_index":{"In":[0,44,78],"clinical":[1],"practice,":[2],"knee":[3,22,66,103],"MRI":[4,31,91],"sequences":[5,52,72],"with":[6,86],"3.5~5":[7,158],"mm":[8,159],"slice":[9],"distance":[10],"in":[11,33,75,93],"sagittal,":[12,87],"coronal,":[13,88],"and":[14,89,108,125,145],"axial":[15,90],"planes":[16],"are":[17,114],"often":[18],"requested":[19],"for":[20,150],"the":[21,39,50,62,70,79,81,94,110,122,137,151,165],"examination":[23],"since":[24],"its":[25],"acquisition":[26],"is":[27,73,83,105,169],"faster":[28],"than":[29,173],"high-resolution":[30],"sequence":[32,92],"a":[34,56,129],"single":[35],"plane,":[36],"thereby":[37],"reducing":[38],"probability":[40],"of":[41,49,64,153],"motion":[42],"artifact.":[43],"order":[45],"to":[46,116,127],"take":[47],"advantage":[48],"three":[51,65,71,111,138],"from":[53,69],"different":[54],"planes,":[55],"3D":[57],"segmentation":[58],"method":[59],"based":[60],"on":[61],"combination":[63],"models":[67,113],"obtained":[68,166],"proposed":[74],"this":[76],"paper.":[77],"method,":[80],"sub-segmentation":[82,139,175],"respectively":[84],"performed":[85],"image":[95],"coordinate":[96,118],"system.":[97],"With":[98],"each":[99,143,174],"sequence,":[100],"an":[101],"initial":[102],"model":[104,168],"hierarchically":[106],"deformed,":[107],"then":[109],"deformed":[112],"mapped":[115],"reference":[117],"system":[119],"defined":[120],"by":[121,157],"DICOM":[123],"standard":[124],"combined":[126],"obtain":[128],"patient-specific":[130,167],"model.":[131],"The":[132],"experimental":[133],"results":[134,140],"verified":[135],"that":[136],"can":[141,148],"complement":[142],"other,":[144],"their":[146],"integration":[147],"compensate":[149],"insufficiency":[152],"boundary":[154],"information":[155],"caused":[156],"gap":[160],"between":[161],"consecutive":[162],"slices.":[163],"Therefore,":[164],"substantially":[170],"more":[171],"accurate":[172],"results.":[176]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
