{"id":"https://openalex.org/W3199684671","doi":"https://doi.org/10.1117/12.2611819","title":"Blood vessel segmentation in en-face OCTA images: a frequency based method","display_name":"Blood vessel segmentation in en-face OCTA images: a frequency based method","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W3199684671","doi":"https://doi.org/10.1117/12.2611819","mag":"3199684671"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611819","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611819","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.06116","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044865557","display_name":"Anna Breger","orcid":"https://orcid.org/0000-0001-8878-5743"},"institutions":[{"id":"https://openalex.org/I4210088715","display_name":"FH Campus Wien","ror":"https://ror.org/003f4pg83","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210088715"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Anna Breger","raw_affiliation_strings":["Univ. Wien (Austria)"],"affiliations":[{"raw_affiliation_string":"Univ. Wien (Austria)","institution_ids":["https://openalex.org/I4210088715"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091169139","display_name":"Felix Goldbach","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felix Goldbach","raw_affiliation_strings":["Medizinische Univ. Wien (Austria)"],"affiliations":[{"raw_affiliation_string":"Medizinische Univ. Wien (Austria)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013494845","display_name":"Bianca S. Gerendas","orcid":"https://orcid.org/0000-0001-8940-8130"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bianca S. Gerendas","raw_affiliation_strings":["Medizinische Univ. Wien (Austria)"],"affiliations":[{"raw_affiliation_string":"Medizinische Univ. Wien (Austria)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053563726","display_name":"Ursula Schmidt\u2010Erfurth","orcid":"https://orcid.org/0000-0002-7788-7311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ursula Schmidt-Erfurth","raw_affiliation_strings":["Medizinische Univ. Wien (Austria)"],"affiliations":[{"raw_affiliation_string":"Medizinische Univ. Wien (Austria)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029839615","display_name":"Martin Ehler","orcid":"https://orcid.org/0000-0002-3247-6279"},"institutions":[{"id":"https://openalex.org/I4210088715","display_name":"FH Campus Wien","ror":"https://ror.org/003f4pg83","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210088715"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Ehler","raw_affiliation_strings":["Univ. Wien (Austria)"],"affiliations":[{"raw_affiliation_string":"Univ. Wien (Austria)","institution_ids":["https://openalex.org/I4210088715"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044865557"],"corresponding_institution_ids":["https://openalex.org/I4210088715"],"apc_list":null,"apc_paid":null,"fwci":0.894,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73282443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7208845615386963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6832618117332458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6750547885894775},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6478704214096069},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5702981352806091},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5533230900764465},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5006330013275146},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.46588200330734253},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.4571949541568756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4252408742904663},{"id":"https://openalex.org/keywords/blood-flow","display_name":"Blood flow","score":0.420412540435791},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13129085302352905},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1272505521774292}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7208845615386963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832618117332458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6750547885894775},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6478704214096069},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5702981352806091},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5533230900764465},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5006330013275146},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.46588200330734253},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.4571949541568756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4252408742904663},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.420412540435791},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13129085302352905},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1272505521774292},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2611819","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611819","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.06116","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.06116","pdf_url":"https://arxiv.org/pdf/2109.06116","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.06116","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.06116","pdf_url":"https://arxiv.org/pdf/2109.06116","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1822639386","https://openalex.org/W1987869189","https://openalex.org/W2089806030","https://openalex.org/W2114487471","https://openalex.org/W2122544730","https://openalex.org/W2125148312","https://openalex.org/W2133059825","https://openalex.org/W2143516773","https://openalex.org/W2146317465","https://openalex.org/W2171181782","https://openalex.org/W2408905170","https://openalex.org/W2461701740","https://openalex.org/W2493158058","https://openalex.org/W2606423210","https://openalex.org/W2769520760","https://openalex.org/W2769927087","https://openalex.org/W2795831917","https://openalex.org/W2811128222","https://openalex.org/W2889116806","https://openalex.org/W2889366442","https://openalex.org/W2900435957","https://openalex.org/W2917903472","https://openalex.org/W2947035897","https://openalex.org/W3107595387","https://openalex.org/W3111741353","https://openalex.org/W4200409436","https://openalex.org/W4236879263","https://openalex.org/W4296579638"],"related_works":["https://openalex.org/W2348498086","https://openalex.org/W3093461874","https://openalex.org/W2068608913","https://openalex.org/W1000914229","https://openalex.org/W3021342607","https://openalex.org/W2488331324","https://openalex.org/W2323668004","https://openalex.org/W970126872","https://openalex.org/W127177386","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Optical":[0],"coherence":[1],"tomography":[2],"angiography":[3],"(OCTA)":[4],"is":[5,70],"a":[6,46,87,174],"novel":[7,47],"noninvasive":[8],"imaging":[9,24],"modality":[10],"for":[11,26,49,126],"visualization":[12],"of":[13,29,34,58,129,132,137,159,169],"retinal":[14,170],"blood":[15,36,171],"flow":[16,172],"in":[17,61,149,173],"the":[18,27,35,50,59,92,111,117,122,127,130,157],"human":[19],"retina.":[20],"Using":[21],"specific":[22],"OCTA":[23,77],"biomarkers":[25],"identification":[28,53,134],"pathologies,":[30],"automated":[31,112],"image":[32,78],"segmentations":[33],"vessels":[37],"can":[38],"improve":[39],"subsequent":[40],"analysis":[41,168],"and":[42,73,151],"diagnosis.":[43],"We":[44],"present":[45],"method":[48],"vessel":[51,107,162],"density":[52,108,163],"based":[54],"on":[55,75],"frequency":[56],"representations":[57],"image,":[60],"particular,":[62],"using":[63],"so-called":[64],"Gabor":[65],"filter":[66],"banks.":[67],"The":[68,119],"algorithm":[69],"evaluated":[71],"qualitatively":[72],"quantitatively":[74],"an":[76],"in-house":[79],"data":[80],"set":[81],"from":[82],"10":[83],"eyes":[84],"acquired":[85],"by":[86,101,116],"Cirrus":[88],"HD-OCT":[89],"device.":[90,118],"Qualitatively,":[91],"segmentation":[93],"outcomes":[94],"received":[95],"very":[96],"good":[97],"visual":[98,123,150],"evaluation":[99,128],"feedback":[100],"experts.":[102],"Quantitatively,":[103],"we":[104,155],"compared":[105],"resulting":[106],"values":[109,114],"with":[110],"in-built":[113],"provided":[115],"results":[120,146],"underline":[121],"evaluation.":[124],"Furthermore,":[125],"substep":[131],"FAZ":[133],"manual":[135],"annotations":[136],"2":[138],"expert":[139],"graders":[140],"were":[141],"used,":[142],"showing":[143],"that":[144,165],"our":[145],"coincide":[147],"well":[148],"quantitative":[152],"manners.":[153],"Lastly,":[154],"suggest":[156],"computation":[158],"adaptive":[160],"local":[161,175],"maps":[164],"allow":[166],"straightforward":[167],"manner.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}