{"id":"https://openalex.org/W2581054266","doi":"https://doi.org/10.1109/biocas.2016.7833740","title":"Direct 3D segmentation of carotid plaques from 3D ultrasound images","display_name":"Direct 3D segmentation of carotid plaques from 3D ultrasound images","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2581054266","doi":"https://doi.org/10.1109/biocas.2016.7833740","mag":"2581054266"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2016.7833740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2016.7833740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086362263","display_name":"Jieyu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jieyu Cheng","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113544359","display_name":"Yanyan Yu","orcid":"https://orcid.org/0000-0002-7366-5826"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yanyan Yu","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051126889","display_name":"Bernard Chiu","orcid":"https://orcid.org/0000-0001-5237-2410"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bernard Chiu","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.9727,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81599036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.9934999942779541,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9523000121116638,"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/segmentation","display_name":"Segmentation","score":0.7903991937637329},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.7385357618331909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597345232963562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5692085027694702},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5546256899833679},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5536240935325623},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.520918071269989},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5141108632087708},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.48407211899757385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48132359981536865},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.46563521027565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44869449734687805},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.4133046269416809},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.329711377620697},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30848926305770874},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.23168349266052246},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13379016518592834},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1206781268119812}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7903991937637329},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.7385357618331909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597345232963562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5692085027694702},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5546256899833679},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5536240935325623},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.520918071269989},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5141108632087708},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.48407211899757385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48132359981536865},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.46563521027565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44869449734687805},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.4133046269416809},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.329711377620697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30848926305770874},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.23168349266052246},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13379016518592834},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1206781268119812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2016.7833740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2016.7833740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1576660662","https://openalex.org/W1694396502","https://openalex.org/W2005219553","https://openalex.org/W2021502550","https://openalex.org/W2025731771","https://openalex.org/W2027545237","https://openalex.org/W2030161218","https://openalex.org/W2054873741","https://openalex.org/W2054900307","https://openalex.org/W2063619199","https://openalex.org/W2067277374","https://openalex.org/W2077688032","https://openalex.org/W2079690285","https://openalex.org/W2108321726","https://openalex.org/W2109292231","https://openalex.org/W2115664739","https://openalex.org/W2118514093","https://openalex.org/W2133774886","https://openalex.org/W2141039492","https://openalex.org/W2142054519","https://openalex.org/W2148234126","https://openalex.org/W3022228670"],"related_works":["https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W2046969815","https://openalex.org/W4254054209","https://openalex.org/W2367921179","https://openalex.org/W657288383","https://openalex.org/W3198334642","https://openalex.org/W1998150108"],"abstract_inverted_index":{"A":[0,15],"direct":[1,47],"3D":[2,12,16,48,71,91],"segmentation":[3,43,49],"method":[4,92],"is":[5],"proposed":[6,90],"to":[7,22],"segment":[8],"carotid":[9],"plaques":[10],"from":[11],"ultrasound":[13],"images.":[14],"level-set":[17],"evolution":[18],"approach":[19,44,50],"was":[20],"applied":[21],"refine":[23],"the":[24,38,54,57,61,89,94],"initial":[25],"plaque":[26,58,67],"surface":[27],"constructed":[28],"by":[29],"an":[30],"algorithm":[31],"described":[32,40],"in":[33],"this":[34,46],"paper.":[35],"Compared":[36],"with":[37],"previously":[39],"2D":[41,74,95],"slice-by-slice":[42,96],"method,":[45],"took":[51],"into":[52],"account":[53],"continuity":[55],"of":[56],"geometry":[59],"along":[60],"longitudinal":[62],"direction.":[63],"Experimental":[64],"results":[65],"(total":[66],"volume":[68],"(TPV)":[69],"difference:":[70],"4.5\u00b19.8%":[72],"vs.":[73],"13.3\u00b123.2;":[75],"Dice":[76],"similarity":[77],"coefficient":[78],"(DSC):":[79],"84.4":[80],"\u00b1":[81,85],"5.8%":[82],"v.s.":[83],"83.7":[84],"5.4%)":[86],"suggest":[87],"that":[88],"outperforms":[93],"approach.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}