{"id":"https://openalex.org/W4414314471","doi":"https://doi.org/10.1007/978-3-032-04965-0_11","title":"Cross-Modal Graph Learning for\u00a0Perivascular Spaces Segmentation","display_name":"Cross-Modal Graph Learning for\u00a0Perivascular Spaces Segmentation","publication_year":2025,"publication_date":"2025-09-18","ids":{"openalex":"https://openalex.org/W4414314471","doi":"https://doi.org/10.1007/978-3-032-04965-0_11"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-04965-0_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-04965-0_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/en/publications/4e87b29d-55b4-40af-bcbb-bab228ecd304","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012861613","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-9474-1947"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tao Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455984","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0001-5309-6972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068231985","display_name":"Xi Long","orcid":"https://orcid.org/0000-0001-9505-1270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xi Long","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077204103","display_name":"Marcel Breeuwer","orcid":"https://orcid.org/0000-0003-1822-8970"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcel Breeuwer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112451732","display_name":"Sveta Zinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sveta Zinger","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024524782","display_name":"Peiyu Huang","orcid":"https://orcid.org/0000-0003-4226-9369"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peiyu Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083371477","display_name":"Jiong Zhang","orcid":"https://orcid.org/0000-0002-1922-9118"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiong Zhang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012861613"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.0447,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.96008869,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11406","display_name":"Cerebrospinal fluid and hydrocephalus","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"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/T11406","display_name":"Cerebrospinal fluid and hydrocephalus","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"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/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/segmentation","display_name":"Segmentation","score":0.7236999869346619},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5622000098228455},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5361999869346619},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5227000117301941},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47929999232292175},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.37529999017715454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.857200026512146},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7236999869346619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499999761581421},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5622000098228455},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5361999869346619},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5227000117301941},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33230000734329224},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3183000087738037},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2667999863624573}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-032-04965-0_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-04965-0_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/4e87b29d-55b4-40af-bcbb-bab228ecd304","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/4e87b29d-55b4-40af-bcbb-bab228ecd304","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Chen, T, Zhang, D, Long, X, Breeuwer, M, Zinger, S, Huang, P & Zhang, J 2025, Cross-Modal Graph Learning for Perivascular Spaces Segmentation. in J C Gee, D C Alexander, J Hong, J E Iglesias, C H Sudre, A Venkataraman, P Golland, J H Kim & J Park (eds), Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23\u201327, 2025, Proceedings, Part IV. Lecture Notes in Computer Science (LNCS), vol. 15963, Springer, Cham, pp. 111-120, 28th International Conference on Medical Image Computing and Computer Assisted Intervention, Daejeon, Korea, Republic of, 23/09/25. https://doi.org/10.1007/978-3-032-04965-0_11","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/4e87b29d-55b4-40af-bcbb-bab228ecd304","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/4e87b29d-55b4-40af-bcbb-bab228ecd304","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Chen, T, Zhang, D, Long, X, Breeuwer, M, Zinger, S, Huang, P & Zhang, J 2025, Cross-Modal Graph Learning for Perivascular Spaces Segmentation. in J C Gee, D C Alexander, J Hong, J E Iglesias, C H Sudre, A Venkataraman, P Golland, J H Kim & J Park (eds), Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23\u201327, 2025, Proceedings, Part IV. Lecture Notes in Computer Science (LNCS), vol. 15963, Springer, Cham, pp. 111-120, 28th International Conference on Medical Image Computing and Computer Assisted Intervention, Daejeon, Korea, Republic of, 23/09/25. https://doi.org/10.1007/978-3-032-04965-0_11","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1754086104","display_name":null,"funder_award_id":"LR24F010002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1994402627","display_name":null,"funder_award_id":"LQ23F010002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G665069160","display_name":null,"funder_award_id":"LZ23F010002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2030827970","https://openalex.org/W2098819343","https://openalex.org/W2112317383","https://openalex.org/W2158742097","https://openalex.org/W2590987049","https://openalex.org/W2609254407","https://openalex.org/W2759821424","https://openalex.org/W2790094613","https://openalex.org/W2889660264","https://openalex.org/W2914584287","https://openalex.org/W3014974815","https://openalex.org/W3035588244","https://openalex.org/W3094059395","https://openalex.org/W3112701542","https://openalex.org/W3135189994","https://openalex.org/W3165938948","https://openalex.org/W3177112485","https://openalex.org/W4212875960","https://openalex.org/W4221163766","https://openalex.org/W4280549850","https://openalex.org/W4377695790","https://openalex.org/W4392903672","https://openalex.org/W4401800035"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}