{"id":"https://openalex.org/W4401750430","doi":"https://doi.org/10.1109/isbi56570.2024.10635148","title":"Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning","display_name":"Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401750430","doi":"https://doi.org/10.1109/isbi56570.2024.10635148"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 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/A5084406557","display_name":"Fengming Lin","orcid":"https://orcid.org/0000-0001-8944-6890"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fengming Lin","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075726869","display_name":"Yan Xia","orcid":"https://orcid.org/0000-0001-5952-566X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yan Xia","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046473637","display_name":"Yash Deo","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yash Deo","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001084237","display_name":"Michael MacRaild","orcid":"https://orcid.org/0009-0001-3307-743X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael MacRaild","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088178652","display_name":"Haoran Dou","orcid":"https://orcid.org/0000-0001-8628-5489"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haoran Dou","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091516667","display_name":"Qiongyao Liu","orcid":"https://orcid.org/0000-0001-8534-8791"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiongyao Liu","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112725298","display_name":"Kun Wu","orcid":"https://orcid.org/0000-0002-1626-396X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kun Wu","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073918042","display_name":"Nishant Ravikumar","orcid":"https://orcid.org/0000-0003-0134-107X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nishant Ravikumar","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049192404","display_name":"Alejandro F. Frangi","orcid":"https://orcid.org/0000-0002-2675-528X"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alejandro F. Frangi","raw_affiliation_strings":["University of Leeds"],"affiliations":[{"raw_affiliation_string":"University of Leeds","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5084406557"],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":null,"apc_paid":null,"fwci":0.2623,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56145028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9563000202178955,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9309999942779541,"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/domain-adaptation","display_name":"Domain adaptation","score":0.7481902837753296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225027084350586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981164574623108},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5549104809761047},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5469068884849548},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4785788059234619},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4391386806964874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3534776568412781},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1871548593044281},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14965596795082092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06571531295776367}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7481902837753296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225027084350586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981164574623108},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5549104809761047},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5469068884849548},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4785788059234619},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4391386806964874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3534776568412781},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1871548593044281},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14965596795082092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06571531295776367},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320005","display_name":"Royal Academy of Engineering","ror":"https://ror.org/0526snb40"},{"id":"https://openalex.org/F4320333067","display_name":"Sixth Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2141334480","https://openalex.org/W2166194273","https://openalex.org/W2979907638","https://openalex.org/W3035294798","https://openalex.org/W3217147624","https://openalex.org/W4312768455","https://openalex.org/W4316362305","https://openalex.org/W4321232185","https://openalex.org/W4377115841","https://openalex.org/W4383500200","https://openalex.org/W4386047746","https://openalex.org/W4387211421","https://openalex.org/W4387404180","https://openalex.org/W4391949001","https://openalex.org/W4395679934"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1],"adaptation":[2],"(UDA)":[3],"aims":[4],"to":[5,16,57],"align":[6],"the":[7,12,59],"labelled":[8,63,88],"source":[9,64],"distribution":[10,15],"with":[11],"unlabelled":[13,66,98],"target":[14,67],"obtain":[17],"domain-invariant":[18],"predictive":[19],"models.":[20],"Since":[21],"cross-modality":[22],"medical":[23,42],"data":[24,91],"exhibit":[25],"significant":[26],"intra":[27],"and":[28,31,65,92],"interdomain":[29],"shifts":[30],"most":[32],"are":[33],"unlabelled,":[34],"UDA":[35,56],"is":[36,71],"more":[37],"important":[38],"while":[39],"challenging":[40],"in":[41,97],"image":[43],"analysis.":[44],"This":[45],"paper":[46],"proposes":[47],"a":[48],"simple":[49],"yet":[50],"potent":[51],"contrastive":[52],"learning":[53],"frame-work":[54],"for":[55],"narrow":[58],"inter-domain":[60],"gap":[61],"between":[62],"distribution.":[68],"Our":[69],"method":[70],"validated":[72],"on":[73],"cerebral":[74],"vessel":[75,94],"datasets.":[76],"Experimental":[77],"results":[78],"show":[79],"that":[80],"our":[81],"approach":[82],"can":[83],"learn":[84],"latent":[85],"features":[86],"from":[87],"3DRA":[89],"modality":[90,100],"improve":[93],"segmentation":[95],"performance":[96],"MRA":[99],"data.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}