{"id":"https://openalex.org/W7084604590","doi":"https://doi.org/10.1007/978-3-032-06774-6_21","title":"GReAT: Leveraging Geometric Artery Data to\u00a0Improve Wall Shear Stress Assessment","display_name":"GReAT: Leveraging Geometric Artery Data to\u00a0Improve Wall Shear Stress Assessment","publication_year":2025,"publication_date":"2025-10-04","ids":{"openalex":"https://openalex.org/W7084604590","doi":"https://doi.org/10.1007/978-3-032-06774-6_21"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-06774-6_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-06774-6_21","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.utwente.nl/en/publications/9cd3424d-1d42-447a-afff-c43efdb3388c","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Julian Suk","orcid":null},"institutions":[{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julian Suk","raw_affiliation_strings":["Munich Center for Machine Learning, Munich, Germany","Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Munich Center for Machine Learning, Munich, Germany","institution_ids":["https://openalex.org/I4403386549"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jolanda J. Wentzel","orcid":null},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jolanda J. Wentzel","raw_affiliation_strings":["Erasmus Medical Center, Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus Medical Center, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Patryk Rygiel","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Patryk Rygiel","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Joost Daemen","orcid":null},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Joost Daemen","raw_affiliation_strings":["Erasmus Medical Center, Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus Medical Center, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Daniel Rueckert","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"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"]},{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Daniel Rueckert","raw_affiliation_strings":["Imperial College London, London, UK","Munich Center for Machine Learning, Munich, Germany","Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Munich Center for Machine Learning, Munich, Germany","institution_ids":["https://openalex.org/I4403386549"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jelmer M. Wolterink","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jelmer M. Wolterink","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4403386549","https://openalex.org/I62916508"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79140014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10888","display_name":"Augmented Reality Applications","score":0.005799999926239252,"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/T11238","display_name":"Simulation-Based Education in Healthcare","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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":0.608299970626831},{"id":"https://openalex.org/keywords/shear-stress","display_name":"Shear stress","score":0.5274999737739563},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5116000175476074},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.4016999900341034},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.366100013256073},{"id":"https://openalex.org/keywords/shear","display_name":"Shear (geology)","score":0.3652999997138977},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3578999936580658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311000227928162},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5390999913215637},{"id":"https://openalex.org/C21141959","wikidata":"https://www.wikidata.org/wiki/Q657936","display_name":"Shear stress","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.4016999900341034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40059998631477356},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C96035792","wikidata":"https://www.wikidata.org/wiki/Q43606218","display_name":"Shear (geology)","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C2778742706","wikidata":"https://www.wikidata.org/wiki/Q18361829","display_name":"Coronary arteries","level":3,"score":0.3474000096321106},{"id":"https://openalex.org/C178853913","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Hemodynamics","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30709999799728394},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2865999937057495}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-032-06774-6_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-06774-6_21","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.eur.nl:openaire_cris_publications/a1d864f1-d40f-4feb-9ff3-8e71e65d1c71","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/a1d864f1-d40f-4feb-9ff3-8e71e65d1c71","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Suk, J, Wentzel, J J, Rygiel, P, Daemen, J, Rueckert, D & Wolterink, J M 2026, GReAT : Leveraging Geometric Artery Data to\u00a0Improve Wall Shear Stress Assessment. in C Wachinger, G Luijten, J Egger, S Elhabian & K Gopinath (eds), Shape in Medical Imaging - International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Springer Science+Business Media, Lecture Notes in Computer Science, vol. 16171 LNCS, pp. 277-291, International Workshop on Shape in Medical Imaging, ShapeMI 2025, Held in Conjunction with the 28th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2025, Daejeon, Korea, Republic of, 23/09/25. https://doi.org/10.1007/978-3-032-06774-6_21","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:openaire/9cd3424d-1d42-447a-afff-c43efdb3388c","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/9cd3424d-1d42-447a-afff-c43efdb3388c","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"Suk, J, Wentzel, J J, Rygiel, P, Daemen, J, Rueckert, D & Wolterink, J M 2026, GReAT : Leveraging Geometric Artery Data to\u00a0Improve Wall Shear Stress Assessment. in C Wachinger, G Luijten, J Egger, S Elhabian & K Gopinath (eds), Shape in Medical Imaging : International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings. Lecture Notes in Computer Science, vol. 16171, Springer, Cham, pp. 277-291, International Workshop on Shape in Medical Imaging, ShapeMI 2025, Daejeon, Korea, Republic of, 23/09/25. https://doi.org/10.1007/978-3-032-06774-6_21","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire/9cd3424d-1d42-447a-afff-c43efdb3388c","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/9cd3424d-1d42-447a-afff-c43efdb3388c","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"Suk, J, Wentzel, J J, Rygiel, P, Daemen, J, Rueckert, D & Wolterink, J M 2026, GReAT : Leveraging Geometric Artery Data to\u00a0Improve Wall Shear Stress Assessment. in C Wachinger, G Luijten, J Egger, S Elhabian & K Gopinath (eds), Shape in Medical Imaging : International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings. Lecture Notes in Computer Science, vol. 16171, Springer, Cham, pp. 277-291, International Workshop on Shape in Medical Imaging, ShapeMI 2025, Daejeon, Korea, Republic of, 23/09/25. https://doi.org/10.1007/978-3-032-06774-6_21","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5029845237731934}],"awards":[{"id":"https://openalex.org/G8530603449","display_name":null,"funder_award_id":"18192","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2100657858","https://openalex.org/W2765816034","https://openalex.org/W2890609830","https://openalex.org/W2969636760","https://openalex.org/W3000864094","https://openalex.org/W3049061604","https://openalex.org/W3116959466","https://openalex.org/W3119708198","https://openalex.org/W3122725681","https://openalex.org/W3165750456","https://openalex.org/W3193950171","https://openalex.org/W3197097949","https://openalex.org/W3212985669","https://openalex.org/W3214154497","https://openalex.org/W3214626409","https://openalex.org/W4200507160","https://openalex.org/W4308333458","https://openalex.org/W4309163003","https://openalex.org/W4312270234","https://openalex.org/W4312428231","https://openalex.org/W4379660206","https://openalex.org/W4388805587","https://openalex.org/W4391109864","https://openalex.org/W4391652000","https://openalex.org/W4392968555","https://openalex.org/W4396667290","https://openalex.org/W4400324908","https://openalex.org/W4402294707","https://openalex.org/W4403619353"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}