{"id":"https://openalex.org/W2979101979","doi":"https://doi.org/10.1109/ijcnn.2019.8851844","title":"Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data","display_name":"Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979101979","doi":"https://doi.org/10.1109/ijcnn.2019.8851844","mag":"2979101979"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5059859767","display_name":"\u00c1lvaro S. Hervella","orcid":"https://orcid.org/0000-0002-9080-9836"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alvaro S. Hervella","raw_affiliation_strings":["Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057860861","display_name":"Jos\u00e9 Rouco","orcid":"https://orcid.org/0000-0003-4407-9091"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Rouco","raw_affiliation_strings":["Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032144370","display_name":"Jorge Novo","orcid":"https://orcid.org/0000-0002-0125-3064"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Novo","raw_affiliation_strings":["Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077849552","display_name":"Marcos Ortega","orcid":"https://orcid.org/0000-0002-2798-0788"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marcos Ortega","raw_affiliation_strings":["Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidade da Coru\u00f1a, A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11019714"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9876000285148621,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8380100131034851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7833002805709839},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.762935996055603},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6792750954627991},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6302394270896912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.572262704372406},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5666300654411316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4597412049770355},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.453936904668808},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44720566272735596},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.44262826442718506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.365037739276886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3254445791244507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8380100131034851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7833002805709839},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.762935996055603},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6792750954627991},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6302394270896912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.572262704372406},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5666300654411316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4597412049770355},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.453936904668808},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44720566272735596},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.44262826442718506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.365037739276886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3254445791244507}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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":28,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2011268029","https://openalex.org/W2019500872","https://openalex.org/W2033723371","https://openalex.org/W2109200236","https://openalex.org/W2133665775","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2206167351","https://openalex.org/W2304562840","https://openalex.org/W2327793514","https://openalex.org/W2346062110","https://openalex.org/W2513326255","https://openalex.org/W2529844114","https://openalex.org/W2592929672","https://openalex.org/W2620722267","https://openalex.org/W2791117644","https://openalex.org/W2892033531","https://openalex.org/W2962824366","https://openalex.org/W2963752842","https://openalex.org/W2964121744","https://openalex.org/W3098547059","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6655233927","https://openalex.org/W6755347694"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2251519152"],"abstract_inverted_index":{"This":[0,47],"paper":[1],"presents":[2],"a":[3,37,44,50,96,110,123],"novel":[4],"approach":[5,213],"that":[6,55,185],"allows":[7],"training":[8,61,151,164],"convolutional":[9,30,124],"neural":[10,31,125],"networks":[11,32,88,184],"for":[12,75,150,196],"retinal":[13,28,79,93,197],"vessel":[14,111,142,198],"segmentation":[15,199],"without":[16,169],"manually":[17,84],"annotated":[18,42,85],"labels.":[19],"In":[20,106],"order":[21],"to":[22,25,90,129,138,178],"learn":[23,89,130],"how":[24],"segment":[26,91],"the":[27,57,69,78,87,92,101,131,135,139,147,156,161,180,183,189,205,211],"vessels,":[29],"are":[33,207],"typically":[34],"trained":[35,128,187],"with":[36,117,188],"set":[38],"of":[39,59,71,82,163,182],"pixel-level":[40],"labels":[41],"by":[43],"clinical":[45],"expert.":[46],"annotation":[48,172],"is":[49,103,127,152],"tedious":[51],"and":[52],"error-prone":[53],"task":[54],"limits":[56],"number":[58,162],"available":[60],"samples.":[62],"To":[63],"alleviate":[64],"this":[65,107,145],"problem,":[66],"we":[67],"propose":[68],"use":[70],"unlabeled":[72,157],"multimodal":[73,158],"data":[74],"learning":[76],"about":[77],"vasculature.":[80],"Instead":[81],"using":[83],"labels,":[86,192],"vessels":[94],"from":[95,134,155],"complementary":[97,108],"image":[98,119],"modality":[99,137],"where":[100],"vasculature":[102],"already":[104],"highlighted.":[105],"modality,":[109],"map":[112],"can":[113,166],"be":[114,167],"easily":[115],"constructed":[116],"simple":[118],"processing":[120],"techniques.":[121],"Then,":[122],"network":[126],"cross-modal":[132],"mapping":[133],"original":[136],"automatically":[140,153,190],"derived":[141,191],"maps.":[143],"Using":[144],"strategy,":[146],"supervisory":[148],"signal":[149],"obtained":[154],"data.":[159],"Thus,":[160],"samples":[165],"increased":[168],"any":[170],"human":[171],"effort.":[173],"Several":[174],"experiments":[175],"were":[176,186],"conducted":[177],"evaluate":[179],"performance":[181],"obtaining":[193],"competitive":[194],"results":[195,206],"in":[200,214],"relevant":[201],"public":[202],"datasets.":[203],"Furthermore,":[204],"promising":[208],"towards":[209],"including":[210],"presented":[212],"semi-supervised":[215],"methods.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}