{"id":"https://openalex.org/W7161797306","doi":"https://doi.org/10.1109/isbi61048.2026.11515427","title":"Illuminating Uncertainty: A Trifocal Fine-Grained and Transformer-Like Axial Attention Framework for Pulmonary Vascular Segmentation","display_name":"Illuminating Uncertainty: A Trifocal Fine-Grained and Transformer-Like Axial Attention Framework for Pulmonary Vascular Segmentation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161797306","doi":"https://doi.org/10.1109/isbi61048.2026.11515427"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5136601563","display_name":"Shiyi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shiyi Wang","raw_affiliation_strings":["Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085166013","display_name":"Yingying Fang","orcid":"https://orcid.org/0000-0001-6334-8635"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yingying Fang","raw_affiliation_strings":["Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134414905","display_name":"Yuxuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129222","display_name":"Wuhan Union Hospital","ror":"https://ror.org/0371fqr87","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210129222"]},{"id":"https://openalex.org/I4210163933","display_name":"Union Hospital","ror":"https://ror.org/055gkcy74","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210163933"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Li","raw_affiliation_strings":["Tongji Medical College, Huazhong University of Science and Technology,Union Hospital,Department of Pancreatic Surgery,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji Medical College, Huazhong University of Science and Technology,Union Hospital,Department of Pancreatic Surgery,Wuhan,China","institution_ids":["https://openalex.org/I4210129222","https://openalex.org/I4210163933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136580102","display_name":"Yang Nan","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Nan","raw_affiliation_strings":["Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136555502","display_name":"Simon Walsh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096640","display_name":"Royal Brompton Hospital","ror":"https://ror.org/00cv4n034","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2800036501","https://openalex.org/I4210096640"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Walsh","raw_affiliation_strings":["Royal Brompton Hospital,UK and Cardiovascular Research Centre,London,SW3 6NP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Brompton Hospital,UK and Cardiovascular Research Centre,London,SW3 6NP","institution_ids":["https://openalex.org/I4210096640"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136589695","display_name":"Guang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial-X, Imperial College London,Bioengineering Department,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61248083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1363999992609024,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1363999992609024,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.13099999725818634,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.08739999681711197,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.5537999868392944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3785000145435333},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.37119999527931213},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2955999970436096},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.2939000129699707}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7009000182151794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908000111579895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5683000087738037},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5537999868392944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37119999527931213},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30480000376701355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.2939000129699707},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5785459876060486}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2902537990","https://openalex.org/W3007268491","https://openalex.org/W3132106430","https://openalex.org/W3135685413","https://openalex.org/W3138516171","https://openalex.org/W3165670649","https://openalex.org/W4206643511","https://openalex.org/W4223563200","https://openalex.org/W4226061600","https://openalex.org/W4304891585","https://openalex.org/W4321232185","https://openalex.org/W4377142661","https://openalex.org/W4383499472","https://openalex.org/W4387398788","https://openalex.org/W4406474197"],"related_works":[],"abstract_inverted_index":{"Pulmonary":[0],"artery":[1,84],"segmentation":[2,18],"has":[3],"recently":[4],"emerged":[5],"as":[6],"a":[7,33,56,89,114],"novel":[8],"biomarker":[9],"for":[10,36,73,117],"lung":[11],"diseases,":[12],"necessitating":[13],"accurate":[14],"and":[15,41,109],"efficient":[16],"automatic":[17],"methods.":[19],"However,":[20],"in":[21,46],"none":[22],"contrast":[23,31],"enhanced":[24,61],"CT":[25],"(NECT)":[26],"scans,":[27],"the":[28,80],"low":[29],"tissue":[30],"poses":[32],"persistent":[34],"challenge":[35],"accurately":[37],"delineating":[38],"multibranch":[39],"structures":[40],"small":[42],"pulmonary":[43,48,119],"arteries,":[44],"particularly":[45],"complex":[47],"conditions.":[49],"In":[50],"this":[51],"work,":[52],"we":[53],"introduce":[54],"IFSAttUNet,":[55],"trifocal":[57],"fine-grained":[58],"attention":[59,108],"framework":[60],"by":[62],"transformer-like":[63],"triple-axis":[64],"multi-head":[65],"attention.":[66],"This":[67],"method":[68],"provides":[69],"an":[70],"explicit":[71],"measure":[72],"\u201cuncertain\u201d":[74],"or":[75],"\u201chard-to-recognize\u201d":[76],"regions,":[77],"thereby":[78],"guiding":[79],"network's":[81],"focus":[82],"toward":[83],"boundaries.":[85],"Moreover,":[86],"IFSAttUNet":[87,103],"features":[88],"lightweight":[90],"architecture":[91],"capable":[92],"of":[93],"capturing":[94],"global":[95],"dependencies":[96],"effectively.":[97],"Our":[98],"empirical":[99],"results":[100],"demonstrate":[101],"that":[102],"outperforms":[104],"state-of-the-art":[105],"Gaussian-based":[106],"fuzzy":[107],"transformer":[110],"based":[111],"models,":[112],"offering":[113],"promising":[115],"avenue":[116],"robust":[118],"vascular":[120],"analysis.":[121]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-21T00:00:00"}
