{"id":"https://openalex.org/W2436576671","doi":"https://doi.org/10.1109/isbi.2016.7493521","title":"Unsupervised extraction of the aortic dissection membrane based on a multiscale piecewise ridge model","display_name":"Unsupervised extraction of the aortic dissection membrane based on a multiscale piecewise ridge model","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2436576671","doi":"https://doi.org/10.1109/isbi.2016.7493521","mag":"2436576671"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th 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/A5045172999","display_name":"Cosmin Adrian Morariu","orcid":null},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cosmin Adrian Morariu","raw_affiliation_strings":["Faculty of Engineering, University of Duisburg-Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011551113","display_name":"Farnoush Zohourian","orcid":null},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Farnoush Zohourian","raw_affiliation_strings":["Faculty of Engineering, University of Duisburg-Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056204177","display_name":"Daniel\u2010Sebastian Dohle","orcid":"https://orcid.org/0000-0001-7172-2658"},"institutions":[{"id":"https://openalex.org/I4210119759","display_name":"Essen University Hospital","ror":"https://ror.org/02na8dn90","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210119759"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Dohle","raw_affiliation_strings":["Department of Thoracic and Cardiovascular Surgery, University Clinic Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Thoracic and Cardiovascular Surgery, University Clinic Essen, Germany","institution_ids":["https://openalex.org/I4210119759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042457524","display_name":"Konstantinos Tsagakis","orcid":"https://orcid.org/0000-0002-8984-6779"},"institutions":[{"id":"https://openalex.org/I4210119759","display_name":"Essen University Hospital","ror":"https://ror.org/02na8dn90","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210119759"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Konstantinos Tsagakis","raw_affiliation_strings":["Department of Thoracic and Cardiovascular Surgery, University Clinic Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Thoracic and Cardiovascular Surgery, University Clinic Essen, Germany","institution_ids":["https://openalex.org/I4210119759"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050558405","display_name":"Josef Pauli","orcid":"https://orcid.org/0000-0003-0363-6410"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Josef Pauli","raw_affiliation_strings":["Faculty of Engineering, University of Duisburg-Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55664165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1368","last_page":"1371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6124644875526428},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5611521005630493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527830123901367},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5067327618598938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4951581060886383},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4948698878288269},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4857516884803772},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.47219645977020264},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4686289131641388},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.45769649744033813},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.45496708154678345},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4365340769290924},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41714465618133545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37240225076675415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36242738366127014},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.17879226803779602},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17630940675735474},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12852317094802856},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11962240934371948},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11584600806236267}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6124644875526428},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5611521005630493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527830123901367},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5067327618598938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4951581060886383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4948698878288269},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4857516884803772},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.47219645977020264},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4686289131641388},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.45769649744033813},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.45496708154678345},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4365340769290924},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41714465618133545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37240225076675415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36242738366127014},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.17879226803779602},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17630940675735474},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12852317094802856},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11962240934371948},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11584600806236267},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2016.7493521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5600000023841858},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W571020413","https://openalex.org/W1495971627","https://openalex.org/W1928185731","https://openalex.org/W1995450389","https://openalex.org/W2015245929","https://openalex.org/W2109200236","https://openalex.org/W2114240017","https://openalex.org/W2150137936","https://openalex.org/W2156831829","https://openalex.org/W2295464614","https://openalex.org/W6640148455"],"related_works":["https://openalex.org/W4242029529","https://openalex.org/W4295532600","https://openalex.org/W2361826657","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2369419402","https://openalex.org/W2966404314","https://openalex.org/W2090985514","https://openalex.org/W1945284306"],"abstract_inverted_index":{"This":[0],"contribution":[1],"expounds":[2],"an":[3,116],"unsupervised":[4],"technique":[5],"for":[6,94],"successfully":[7],"retrieving":[8],"fine":[9,27],"structures,":[10],"such":[11],"as":[12,29],"the":[13,26,46,103],"aortic":[14,133],"dissection":[15],"membrane,":[16],"from":[17],"noisy,":[18],"artifact-afflicted":[19],"medical":[20],"image":[21],"data.":[22],"A":[23],"model":[24],"of":[25,59,119,132],"structure":[28],"a":[30,56,60,68,81,111],"ridge-like":[31],"element":[32],"is":[33],"employed":[34],"at":[35,77,86],"several":[36],"scales":[37],"and":[38,51,66,90,99,125],"orientations.":[39],"Towards":[40],"this":[41],"end,":[42],"we":[43],"piecewise":[44],"approximate":[45],"structure's":[47],"idealized":[48],"intensity":[49],"pattern":[50],"shape":[52],"in":[53,63,70,107,128],"2D":[54],"by":[55,67],"second":[57],"derivative":[58],"Gaussian":[61,69],"function":[62],"cross-sectional":[64],"direction":[65],"longitudinal":[71],"direction.":[72],"The":[73],"filter":[74],"responses":[75],"selected":[76],"each":[78],"pixel":[79],"undergo":[80],"Fuzzy":[82],"c-means":[83],"clustering":[84],"aiming":[85],"determining":[87],"cluster":[88],"centers":[89],"class":[91],"probability":[92],"distributions":[93],"discrimination":[95],"between":[96,122],"desired":[97],"structures":[98],"artifacts.":[100],"We":[101],"remodel":[102],"obtained":[104],"distribution":[105],"functions":[106],"order":[108],"to":[109],"obtain":[110],"normalized,":[112],"complete":[113],"partition.":[114],"With":[115],"average":[117],"distance":[118],"0.65":[120],"mm":[121],"automatic":[123],"segmentation":[124],"ground":[126],"truth":[127],"12":[129],"CTA":[130],"datasets":[131],"dissection,":[134],"our":[135],"novel":[136],"approach":[137],"proves":[138],"more":[139],"accurate":[140],"than":[141],"previous":[142],"methods.":[143]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}