{"id":"https://openalex.org/W7124295245","doi":"https://doi.org/10.1038/s41746-025-02061-8","title":"Geometric-topological deep transfer learning for precise vessel segmentation in 3D medical volumes","display_name":"Geometric-topological deep transfer learning for precise vessel segmentation in 3D medical volumes","publication_year":2026,"publication_date":"2026-01-15","ids":{"openalex":"https://openalex.org/W7124295245","doi":"https://doi.org/10.1038/s41746-025-02061-8","pmid":"https://pubmed.ncbi.nlm.nih.gov/41540206"},"language":"en","primary_location":{"id":"doi:10.1038/s41746-025-02061-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-025-02061-8","pdf_url":"https://www.nature.com/articles/s41746-025-02061-8_reference.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41746-025-02061-8_reference.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123149580","display_name":"Jiake Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiake Wu","raw_affiliation_strings":["Department of Cardiology, Shengjing Hospital of China Medical University, Sanhao Street, Shenyang, 110000, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Shengjing Hospital of China Medical University, Sanhao Street, Shenyang, 110000, Liaoning, China","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116024370","display_name":"Zongyu Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140515","display_name":"First Hospital of China Medical University","ror":"https://ror.org/04wjghj95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140515"]},{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyu Wen","raw_affiliation_strings":["Department of Cardiology, The First Affiliated Hospital of China Medical University, North Nanjing Street, Shenyang, 110000, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, The First Affiliated Hospital of China Medical University, North Nanjing Street, Shenyang, 110000, Liaoning, China","institution_ids":["https://openalex.org/I4210140515","https://openalex.org/I91656880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123142652","display_name":"Hainan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158818","display_name":"Shenyang The Fourth Hospital of People","ror":"https://ror.org/05m9m3d82","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hainan Zhou","raw_affiliation_strings":["Emergency Department, The Fourth People's Hospital of Shenyang, South District West Road, Shenyang, 110000, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emergency Department, The Fourth People's Hospital of Shenyang, South District West Road, Shenyang, 110000, Liaoning, China","institution_ids":["https://openalex.org/I4210158818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123088654","display_name":"Na Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Na Sun","raw_affiliation_strings":["Department of Cardiology, Shengjing Hospital of China Medical University, Sanhao Street, Shenyang, 110000, Liaoning, China. 20202249@cmu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Shengjing Hospital of China Medical University, Sanhao Street, Shenyang, 110000, Liaoning, China. 20202249@cmu.edu.cn","institution_ids":["https://openalex.org/I91656880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123065221","display_name":"Yuanyuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhang","raw_affiliation_strings":["Department of Cardiology, Shengjing Hospital of China Medical University, Sanhao Street, Shenyang, 110000, Liaoning, China. 54924467@qq.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Shengjing Hospital of China Medical University, Sanhao Street, Shenyang, 110000, Liaoning, China. 54924467@qq.com","institution_ids":["https://openalex.org/I91656880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123088654"],"corresponding_institution_ids":["https://openalex.org/I91656880"],"apc_list":{"value":3060,"currency":"USD","value_usd":3590},"apc_paid":{"value":3060,"currency":"USD","value_usd":3590},"fwci":7.2709,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9305767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"9","issue":"1","first_page":"58","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2913999855518341,"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":0.2913999855518341,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.20919999480247498,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.15029999613761902,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.614799976348877},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5357999801635742},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46650001406669617},{"id":"https://openalex.org/keywords/curvilinear-coordinates","display_name":"Curvilinear coordinates","score":0.4207000136375427},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.4034999907016754},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.38440001010894775},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.37070000171661377},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.3391999900341034},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.3303000032901764}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.614799976348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6015999913215637},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5357999801635742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5189999938011169},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46650001406669617},{"id":"https://openalex.org/C98343798","wikidata":"https://www.wikidata.org/wiki/Q1790208","display_name":"Curvilinear coordinates","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.38440001010894775},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32179999351501465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26100000739097595},{"id":"https://openalex.org/C2985909886","wikidata":"https://www.wikidata.org/wiki/Q193147","display_name":"Spatial coherence","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1038/s41746-025-02061-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-025-02061-8","pdf_url":"https://www.nature.com/articles/s41746-025-02061-8_reference.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},{"id":"pmid:41540206","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41540206","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":"NPJ digital medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:d1c7232db12a4af08f0502aae75bb855","is_oa":true,"landing_page_url":"https://doaj.org/article/d1c7232db12a4af08f0502aae75bb855","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"npj Digital Medicine, Vol 9, Iss 1, Pp 1-12 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12820045","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12820045/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NPJ Digit Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1038/s41746-025-02061-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-025-02061-8","pdf_url":"https://www.nature.com/articles/s41746-025-02061-8_reference.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7124295245.pdf","grobid_xml":"https://content.openalex.org/works/W7124295245.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1535051704","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2031576042","https://openalex.org/W2165023525","https://openalex.org/W2464708700","https://openalex.org/W2524205648","https://openalex.org/W2601564443","https://openalex.org/W2803419220","https://openalex.org/W2962778872","https://openalex.org/W2962914239","https://openalex.org/W2971614929","https://openalex.org/W2997528981","https://openalex.org/W3035159724","https://openalex.org/W3088477271","https://openalex.org/W3122239467","https://openalex.org/W3130872505","https://openalex.org/W3146761106","https://openalex.org/W3174039659","https://openalex.org/W3174708193","https://openalex.org/W3190455970","https://openalex.org/W4213131680","https://openalex.org/W4295917092","https://openalex.org/W4296025769","https://openalex.org/W4312230952","https://openalex.org/W4312360134","https://openalex.org/W4312493401","https://openalex.org/W4313453653","https://openalex.org/W4323859455","https://openalex.org/W4385813883","https://openalex.org/W4390873988","https://openalex.org/W4399039839"],"related_works":[],"abstract_inverted_index":{"Precise":[0],"delineation":[1],"and":[2,19,39,114,150,167],"parametric":[3],"modeling":[4],"of":[5,88],"curvilinear":[6],"vascular":[7,101],"architectures":[8],"in":[9,109,130,138],"volumetric":[10],"medical":[11,140,152],"imaging":[12],"are":[13,34],"pivotal":[14],"for":[15,99,160],"advancing":[16],"clinical":[17,131],"diagnostics":[18],"therapeutic":[20],"planning.":[21],"Prevailing":[22],"methodologies":[23],"predominantly":[24],"adopt":[25],"discrete":[26],"voxel-wise":[27],"representations,":[28],"such":[29],"as":[30,69],"binary":[31],"masks,":[32],"which":[33],"prone":[35],"to":[36,72],"topological":[37,82,111],"disruptions":[38],"artifact-induced":[40],"fragmentation":[41],"arising":[42],"from":[43],"inherent":[44],"per-voxel":[45],"classification":[46],"biases.":[47],"To":[48],"address":[49],"these":[50],"challenges,":[51],"we":[52],"present":[53],"FlowAxis,":[54],"a":[55],"pioneering":[56],"continuous":[57,161],"parameterization":[58],"paradigm":[59],"leveraging":[60],"Adaptive":[61],"Vessel":[62],"Axes":[63],"(AVA),":[64],"wherein":[65],"adaptive":[66],"keypoints":[67],"function":[68],"interconnected":[70],"vertices":[71],"encapsulate":[73],"intrinsic":[74],"spatial":[75],"topologies.":[76],"FlowAxis":[77],"distinguishes":[78],"itself":[79],"through":[80],"superior":[81],"coherence":[83],"guaranteed":[84],"by":[85],"displacement":[86],"convexity":[87],"the":[89,145,155],"energy":[90],"functional.":[91],"Comprehensive":[92],"empirical":[93],"validations":[94],"across":[95],"four":[96],"benchmark":[97],"datasets":[98],"three-dimensional":[100],"segmentation":[102],"substantiate":[103],"FlowAxis's":[104],"performance,":[105],"achieving":[106],"significant":[107],"improvements":[108],"both":[110],"accuracy":[112],"(clDice)":[113],"geometric":[115],"fidelity":[116],"(Hausdorff":[117],"distance).":[118],"Furthermore,":[119],"qualitative":[120],"assessments":[121],"via":[122],"curved":[123],"planar":[124],"reformations":[125],"highlight":[126],"its":[127],"transformative":[128],"potential":[129],"workflows,":[132],"while":[133],"theoretical":[134,158],"guarantees":[135],"ensure":[136],"reliability":[137],"safety-critical":[139],"applications.":[141],"Our":[142],"work":[143],"bridges":[144],"gap":[146],"between":[147],"mathematical":[148],"rigor":[149],"practical":[151],"imaging,":[153],"providing":[154],"first":[156],"complete":[157],"framework":[159],"vessel":[162],"representation":[163],"with":[164],"provable":[165],"optimality":[166],"convergence":[168],"guarantees.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-01-16T00:00:00"}