{"id":"https://openalex.org/W4286539651","doi":"https://doi.org/10.1109/tmi.2022.3193029","title":"Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data","display_name":"Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4286539651","doi":"https://doi.org/10.1109/tmi.2022.3193029","pmid":"https://pubmed.ncbi.nlm.nih.gov/35862335"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3193029","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3193029","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9969446/09834971.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/42/9969446/09834971.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004173270","display_name":"Yihao Liu","orcid":"https://orcid.org/0000-0003-3187-9903"},"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":true,"raw_author_name":"Yihao Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075622613","display_name":"Aaron Carass","orcid":"https://orcid.org/0000-0003-4939-5085"},"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":"Aaron Carass","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003957722","display_name":"Lianrui Zuo","orcid":"https://orcid.org/0000-0002-5923-9097"},"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"]},{"id":"https://openalex.org/I4210136897","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210136897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lianrui Zuo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","Laboratory of Behavioral Neuroscience, National Institute on Aging, and the National Institute of Health, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Laboratory of Behavioral Neuroscience, National Institute on Aging, and the National Institute of Health, Baltimore, MD, USA","institution_ids":["https://openalex.org/I4210136897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102852563","display_name":"Yufan He","orcid":"https://orcid.org/0000-0003-4095-9104"},"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":"Yufan He","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070081887","display_name":"Shuo Han","orcid":"https://orcid.org/0000-0003-2033-9004"},"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":"Shuo Han","raw_affiliation_strings":["Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032215696","display_name":"Lorenzo Gregori","orcid":"https://orcid.org/0000-0001-9208-2311"},"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":"Lorenzo Gregori","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102500994","display_name":"Sean Murray","orcid":null},"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":"Sean Murray","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052927521","display_name":"Rohit Kumar Mishra","orcid":"https://orcid.org/0000-0001-9158-9006"},"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":"Rohit Mishra","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018846377","display_name":"Jianqin Lei","orcid":"https://orcid.org/0000-0001-5304-5972"},"institutions":[{"id":"https://openalex.org/I4210121771","display_name":"First Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/02tbvhh96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqin Lei","raw_affiliation_strings":["Ophthalmology Department, First Affiliated Hospital, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Ophthalmology Department, First Affiliated Hospital, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210121771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061851273","display_name":"Peter A. Calabresi","orcid":"https://orcid.org/0000-0002-7776-6472"},"institutions":[{"id":"https://openalex.org/I4210150714","display_name":"Johns Hopkins Hospital","ror":"https://ror.org/05cb1k848","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436","https://openalex.org/I4210150714"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter A. Calabresi","raw_affiliation_strings":["Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, USA","institution_ids":["https://openalex.org/I4210150714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052025260","display_name":"Shiv Saidha","orcid":"https://orcid.org/0000-0001-6387-0714"},"institutions":[{"id":"https://openalex.org/I4210150714","display_name":"Johns Hopkins Hospital","ror":"https://ror.org/05cb1k848","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436","https://openalex.org/I4210150714"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiv Saidha","raw_affiliation_strings":["Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, USA","institution_ids":["https://openalex.org/I4210150714"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066682675","display_name":"Jerry L. Prince","orcid":"https://orcid.org/0000-0002-6553-0876"},"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":"Jerry L. Prince","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5004173270"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":4.1878,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94768263,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"41","issue":"12","first_page":"3686","last_page":"3698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9887999892234802,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.984000027179718,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7923189401626587},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7392042279243469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7212545871734619},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6795204281806946},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.602535605430603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5749488472938538},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5448909997940063},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5155618190765381},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5069656372070312},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.49639421701431274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47194045782089233},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44915786385536194},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12024718523025513},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10209342837333679},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05839705467224121}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7923189401626587},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7392042279243469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7212545871734619},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6795204281806946},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.602535605430603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5749488472938538},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5448909997940063},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5155618190765381},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5069656372070312},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.49639421701431274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47194045782089233},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44915786385536194},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12024718523025513},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10209342837333679},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05839705467224121},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000792","descriptor_name":"Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000792","descriptor_name":"Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000792","descriptor_name":"Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002196","descriptor_name":"Capillaries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002196","descriptor_name":"Capillaries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002196","descriptor_name":"Capillaries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D041623","descriptor_name":"Tomography, Optical Coherence","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D041623","descriptor_name":"Tomography, Optical Coherence","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D041623","descriptor_name":"Tomography, Optical Coherence","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3193029","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3193029","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9969446/09834971.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35862335","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35862335","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9910788","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9910788","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/tmi.2022.3193029","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3193029","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9969446/09834971.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1448968263","display_name":null,"funder_award_id":"R01-NS082347","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2849942400","display_name":null,"funder_award_id":"R01-EY032284","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"},{"id":"https://openalex.org/G3726619773","display_name":null,"funder_award_id":"R01-NS082347","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"},{"id":"https://openalex.org/G4093634730","display_name":null,"funder_award_id":"R01-NS082347","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337350","display_name":"National Eye Institute","ror":"https://ror.org/03wkg3b53"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286539651.pdf","grobid_xml":"https://content.openalex.org/works/W4286539651.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1895336383","https://openalex.org/W1901129140","https://openalex.org/W1959608418","https://openalex.org/W2040965438","https://openalex.org/W2056193516","https://openalex.org/W2066470779","https://openalex.org/W2070486213","https://openalex.org/W2145287260","https://openalex.org/W2188365844","https://openalex.org/W2252774054","https://openalex.org/W2277325960","https://openalex.org/W2473830868","https://openalex.org/W2510096069","https://openalex.org/W2743884226","https://openalex.org/W2765604220","https://openalex.org/W2798074147","https://openalex.org/W2799708266","https://openalex.org/W2801088543","https://openalex.org/W2804047627","https://openalex.org/W2811174544","https://openalex.org/W2884853940","https://openalex.org/W2900999361","https://openalex.org/W2903697270","https://openalex.org/W2905233044","https://openalex.org/W2923997689","https://openalex.org/W2946621431","https://openalex.org/W2953070460","https://openalex.org/W2958632246","https://openalex.org/W2959170286","https://openalex.org/W2974737591","https://openalex.org/W2978017498","https://openalex.org/W2978426779","https://openalex.org/W2980185997","https://openalex.org/W2990952734","https://openalex.org/W3000949749","https://openalex.org/W3002815436","https://openalex.org/W3004459716","https://openalex.org/W3008082060","https://openalex.org/W3010862156","https://openalex.org/W3014974815","https://openalex.org/W3023367080","https://openalex.org/W3023476182","https://openalex.org/W3089660604","https://openalex.org/W3090872507","https://openalex.org/W3094059395","https://openalex.org/W3098317911","https://openalex.org/W3111741353","https://openalex.org/W3112701542","https://openalex.org/W3113013200","https://openalex.org/W3165557117","https://openalex.org/W3168283161","https://openalex.org/W3173519548","https://openalex.org/W3197863729","https://openalex.org/W3199073632","https://openalex.org/W3202878440","https://openalex.org/W4225709022","https://openalex.org/W4297877764","https://openalex.org/W6639824700","https://openalex.org/W6640963894","https://openalex.org/W6687045409","https://openalex.org/W6733814495","https://openalex.org/W6757371691","https://openalex.org/W6762913911","https://openalex.org/W6772436658","https://openalex.org/W6773401944","https://openalex.org/W6785556663","https://openalex.org/W6787510147","https://openalex.org/W6796456532"],"related_works":["https://openalex.org/W2348498086","https://openalex.org/W2385859805","https://openalex.org/W3093461874","https://openalex.org/W2530972254","https://openalex.org/W1000914229","https://openalex.org/W3021342607","https://openalex.org/W2488331324","https://openalex.org/W2323668004","https://openalex.org/W970126872","https://openalex.org/W4308993413"],"abstract_inverted_index":{"Optical":[0],"coherence":[1],"tomography":[2],"angiography":[3],"(OCTA)":[4],"is":[5],"an":[6,84],"imaging":[7],"modality":[8,67],"that":[9,61,108],"can":[10,48,115],"be":[11],"used":[12],"for":[13,34,46,136],"analyzing":[14],"retinal":[15],"vasculature.":[16],"Quantitative":[17],"assessment":[18],"of":[19,27,51,83,124],"en":[20],"face":[21],"OCTA":[22,54,94,137],"images":[23,55,127],"requires":[24],"accurate":[25],"segmentation":[26],"the":[28,66,97,101,110,125],"capillaries.":[29],"Using":[30],"deep":[31,105],"learning":[32,80,106],"approaches":[33],"this":[35],"task":[36],"faces":[37],"two":[38],"major":[39],"challenges.":[40],"First,":[41],"acquiring":[42],"sufficient":[43],"manual":[44],"delineations":[45],"training":[47,126],"take":[49],"hundreds":[50],"hours.":[52],"Second,":[53],"suffer":[56],"from":[57,92,100],"numerous":[58],"contrast-related":[59],"artifacts":[60],"are":[62],"currently":[63],"inherent":[64],"to":[65,75,117],"and":[68,87],"vary":[69],"dramatically":[70],"across":[71],"scanners.":[72],"We":[73],"propose":[74],"solve":[76],"both":[77],"problems":[78],"by":[79],"a":[81,88,104,121],"disentanglement":[82],"anatomy":[85,102,111],"component":[86,91,112],"local":[89],"contrast":[90,98],"paired":[93],"scans.":[95],"With":[96],"removed":[99],"component,":[103],"model":[107],"takes":[109],"as":[113],"input":[114],"learn":[116],"segment":[118],"vessels":[119],"with":[120],"limited":[122],"portion":[123],"being":[128],"manually":[129],"labeled.":[130],"Our":[131],"method":[132],"demonstrates":[133],"state-of-the-art":[134],"performance":[135],"vessel":[138],"segmentation.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
