{"id":"https://openalex.org/W4362663992","doi":"https://doi.org/10.1117/12.2654749","title":"Fully automated aortic measurements via CNN-based joint segmentation and localization","display_name":"Fully automated aortic measurements via CNN-based joint segmentation and localization","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362663992","doi":"https://doi.org/10.1117/12.2654749"},"language":"en","primary_location":{"id":"doi:10.1117/12.2654749","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","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/A5000167665","display_name":"Sudeep Katakol","orcid":"https://orcid.org/0000-0002-4421-9819"},"institutions":[{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudeep Katakol","raw_affiliation_strings":["Univ. of Michigan (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Michigan (United States)","institution_ids":["https://openalex.org/I4210111179","https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091652367","display_name":"Zhangxing Bian","orcid":"https://orcid.org/0000-0003-3603-0650"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhangxing Bian","raw_affiliation_strings":["Johns Hopkins Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins Univ. (United States)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090036764","display_name":"Yanglong Lu","orcid":"https://orcid.org/0000-0001-6911-651X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanglong Lu","raw_affiliation_strings":["Univ. of Michigan (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Michigan (United States)","institution_ids":["https://openalex.org/I4210111179","https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063419754","display_name":"Greg Spahlinger","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Greg Spahlinger","raw_affiliation_strings":["Univ. of Michigan (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Michigan (United States)","institution_ids":["https://openalex.org/I4210111179","https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060236564","display_name":"Charles R. Hatt","orcid":"https://orcid.org/0000-0001-7097-5434"},"institutions":[{"id":"https://openalex.org/I4210140881","display_name":"Imbio (United States)","ror":"https://ror.org/040cv5a57","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140881"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Hatt","raw_affiliation_strings":["Imbio, LLC (United States)"],"affiliations":[{"raw_affiliation_string":"Imbio, LLC (United States)","institution_ids":["https://openalex.org/I4210140881"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076038307","display_name":"Nicholas S. Burris","orcid":"https://orcid.org/0000-0002-5198-4383"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Burris","raw_affiliation_strings":["Univ. of Michigan (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Michigan (United States)","institution_ids":["https://openalex.org/I4210111179","https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000167665"],"corresponding_institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"],"apc_list":null,"apc_paid":null,"fwci":0.2664,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60855968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11597","issue":null,"first_page":"37","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10618","display_name":"Aortic Disease and Treatment Approaches","score":0.9998999834060669,"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/T10618","display_name":"Aortic Disease and Treatment Approaches","score":0.9998999834060669,"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/T10983","display_name":"Aortic aneurysm repair treatments","score":0.9998999834060669,"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/T12018","display_name":"Coronary Artery Anomalies","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7638034224510193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7288704514503479},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7225493788719177},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6441695690155029},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5394047498703003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5291353464126587},{"id":"https://openalex.org/keywords/thoracic-aortic-aneurysm","display_name":"Thoracic aortic aneurysm","score":0.5198414921760559},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4423532485961914},{"id":"https://openalex.org/keywords/aortic-aneurysm","display_name":"Aortic aneurysm","score":0.2729867100715637},{"id":"https://openalex.org/keywords/aneurysm","display_name":"Aneurysm","score":0.20947694778442383},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1336265206336975},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10162940621376038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638034224510193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7288704514503479},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7225493788719177},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6441695690155029},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5394047498703003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5291353464126587},{"id":"https://openalex.org/C2780847584","wikidata":"https://www.wikidata.org/wiki/Q3616648","display_name":"Thoracic aortic aneurysm","level":4,"score":0.5198414921760559},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4423532485961914},{"id":"https://openalex.org/C2777323849","wikidata":"https://www.wikidata.org/wiki/Q616003","display_name":"Aortic aneurysm","level":3,"score":0.2729867100715637},{"id":"https://openalex.org/C2776098176","wikidata":"https://www.wikidata.org/wiki/Q189389","display_name":"Aneurysm","level":2,"score":0.20947694778442383},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1336265206336975},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10162940621376038}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2654749","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-127295","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-127295","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"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":7,"referenced_works":["https://openalex.org/W2048733914","https://openalex.org/W2466879592","https://openalex.org/W2925288829","https://openalex.org/W3129641130","https://openalex.org/W4220776562","https://openalex.org/W6639824700","https://openalex.org/W6662437183"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Diagnosis":[0],"of":[1,64,92,98,106,114,122,161,171],"thoracic":[2,115],"aortic":[3,52,60,116],"aneurysm":[4,117],"typically":[5],"involves":[6],"measuring":[7],"the":[8,14,33,56,87,93,120,139,159,169],"diameters":[9,91],"at":[10,155],"various":[11,175],"locations":[12],"on":[13],"aorta":[15,94],"from":[16,27,108,130],"computed":[17],"tomography":[18],"angiograms":[19],"(CTAs).":[20],"Human":[21],"measurement":[22,38],"is":[23,148,154],"time-consuming":[24],"and":[25,29,62,80,89,118,145,181],"suffers":[26],"inter":[28],"intra-user":[30],"variability,":[31],"motivating":[32],"need":[34],"for":[35,49,74,136],"automated,":[36],"repeatable":[37],"software.":[39],"This":[40],"work":[41],"presents":[42],"a":[43,96,104],"convolutional":[44],"neural":[45],"network":[46],"(CNN)-based":[47],"algorithm":[48,124],"fully":[50],"automated":[51],"measurements.":[53,165],"We":[54,102,133],"employ":[55],"CNN":[57],"to":[58,85],"perform":[59],"segmentation":[61,78],"localization":[63],"key":[65],"landmarks":[66,81],"jointly,":[67],"which":[68,153],"performs":[69],"better":[70],"than":[71,150,158],"individual":[72],"models":[73],"each":[75],"task.":[76],"The":[77],"mask":[79],"are":[82],"subsequently":[83],"used":[84],"obtain":[86],"centerline":[88],"cross-sectional":[90],"using":[95],"combination":[97],"image":[99],"processing":[100],"techniques.":[101],"gather":[103],"dataset":[105],"CTAs":[107],"patients":[109],"with":[110],"ongoing":[111],"imaging":[112],"surveillance":[113],"demonstrate":[119],"performance":[121],"our":[123,172],"by":[125],"quantitative":[126],"comparisons":[127],"against":[128],"measurements":[129,147],"human":[131,144,164],"raters.":[132],"observe":[134],"that":[135],"most":[137],"locations,":[138],"mean":[140],"absolute":[141],"error":[142],"between":[143],"computer-generated":[146],"less":[149],"1":[151],"mm,":[152],"or":[156],"lower":[157],"level":[160],"variability":[162],"in":[163],"Furthermore,":[166],"we":[167],"showcase":[168],"behavior":[170],"method":[173],"through":[174],"visual":[176],"examples,":[177],"discuss":[178],"its":[179],"limitations":[180],"propose":[182],"possible":[183],"improvements.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}