{"id":"https://openalex.org/W2291736062","doi":"https://doi.org/10.1155/2016/4561979","title":"Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images","display_name":"Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2291736062","doi":"https://doi.org/10.1155/2016/4561979","mag":"2291736062","pmid":"https://pubmed.ncbi.nlm.nih.gov/26904151"},"language":"en","primary_location":{"id":"doi:10.1155/2016/4561979","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4561979","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2016/4561979.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2016/4561979.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080061451","display_name":"Yeonggul Jang","orcid":"https://orcid.org/0000-0002-5805-7494"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeonggul Jang","raw_affiliation_strings":["Brain Korea 21 Project for Medical Science, Yonsei University, Seoul 120-752, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain Korea 21 Project for Medical Science, Yonsei University, Seoul 120-752, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085609943","display_name":"Ho Yub Jung","orcid":"https://orcid.org/0000-0002-2906-9170"},"institutions":[{"id":"https://openalex.org/I83436808","display_name":"Hankuk University of Foreign Studies","ror":"https://ror.org/051q2m369","country_code":"KR","type":"education","lineage":["https://openalex.org/I83436808"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ho Yub Jung","raw_affiliation_strings":["Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies, Yongin 449-791, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies, Yongin 449-791, Republic of Korea","institution_ids":["https://openalex.org/I83436808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052178012","display_name":"Youngtaek Hong","orcid":"https://orcid.org/0000-0003-2104-5905"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngtaek Hong","raw_affiliation_strings":["Brain Korea 21 Project for Medical Science, Yonsei University, Seoul 120-752, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain Korea 21 Project for Medical Science, Yonsei University, Seoul 120-752, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023252020","display_name":"Iksung Cho","orcid":"https://orcid.org/0000-0001-5927-5410"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Iksung Cho","raw_affiliation_strings":["Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069642038","display_name":"Hackjoon Shim","orcid":"https://orcid.org/0000-0002-6731-0084"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hackjoon Shim","raw_affiliation_strings":["Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083433064","display_name":"Hyuk\u2010Jae Chang","orcid":"https://orcid.org/0000-0002-6139-7545"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Chang","raw_affiliation_strings":["Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea","Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085609943"],"corresponding_institution_ids":["https://openalex.org/I83436808"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.5068,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71006784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7725995182991028},{"id":"https://openalex.org/keywords/ascending-aorta","display_name":"Ascending aorta","score":0.7301410436630249},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.568340003490448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5375741124153137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154867768287659},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5126053690910339},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.48727142810821533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4854770004749298},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.482837975025177},{"id":"https://openalex.org/keywords/aorta","display_name":"Aorta","score":0.4192420244216919},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.371639609336853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29785534739494324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2503974437713623},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22429895401000977},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11176136136054993}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7725995182991028},{"id":"https://openalex.org/C2778249958","wikidata":"https://www.wikidata.org/wiki/Q2349469","display_name":"Ascending aorta","level":3,"score":0.7301410436630249},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.568340003490448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5375741124153137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154867768287659},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5126053690910339},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.48727142810821533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4854770004749298},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.482837975025177},{"id":"https://openalex.org/C2779980429","wikidata":"https://www.wikidata.org/wiki/Q101004","display_name":"Aorta","level":2,"score":0.4192420244216919},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.371639609336853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29785534739494324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2503974437713623},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22429895401000977},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11176136136054993},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005189","descriptor_name":"False Positive Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1155/2016/4561979","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4561979","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2016/4561979.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:26904151","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26904151","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:ir.ymlib.yonsei.ac.kr:22282913/146469","is_oa":true,"landing_page_url":"https://ir.ymlib.yonsei.ac.kr/handle/22282913/146469","pdf_url":"https://ir.ymlib.yonsei.ac.kr/handle/22282913/146469","source":{"id":"https://openalex.org/S4306400691","display_name":"YUHSpace (Yonsei University Medical Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193775966","host_organization_name":"Yonsei University","host_organization_lineage":["https://openalex.org/I193775966"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:6fb5088f881549e38c8264cda09c0132","is_oa":false,"landing_page_url":"https://doaj.org/article/6fb5088f881549e38c8264cda09c0132","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2016 (2016)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4745818","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4745818","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Math Methods Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2016/4561979","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4561979","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2016/4561979.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G308537768","display_name":null,"funder_award_id":"R0101-15-0171","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G3250995043","display_name":null,"funder_award_id":"R0101-15-0171","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4423318190","display_name":null,"funder_award_id":"R0101-15-0171","funder_id":"https://openalex.org/F4320321227","funder_display_name":"Hankuk University of Foreign Studies"}],"funders":[{"id":"https://openalex.org/F4320321227","display_name":"Hankuk University of Foreign Studies","ror":"https://ror.org/051q2m369"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2291736062.pdf","grobid_xml":"https://content.openalex.org/works/W2291736062.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W635505224","https://openalex.org/W1767951414","https://openalex.org/W1967781636","https://openalex.org/W1997246658","https://openalex.org/W2011214625","https://openalex.org/W2052971463","https://openalex.org/W2063071309","https://openalex.org/W2069537876","https://openalex.org/W2090257680","https://openalex.org/W2099462148","https://openalex.org/W2110689768","https://openalex.org/W2134547117","https://openalex.org/W2134839354","https://openalex.org/W2139239284","https://openalex.org/W2151477212","https://openalex.org/W2163096274"],"related_works":["https://openalex.org/W1839549773","https://openalex.org/W50295174","https://openalex.org/W1971080639","https://openalex.org/W4293503294","https://openalex.org/W2264715783","https://openalex.org/W2232851170","https://openalex.org/W86697283","https://openalex.org/W3217586827","https://openalex.org/W2018112652","https://openalex.org/W3154931528"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,36,68,76,99],"method":[4],"for":[5],"the":[6,11,28,42,46,56,63,85,87,94,122],"automatic":[7],"3D":[8],"segmentation":[9,21,109],"of":[10,79],"ascending":[12,47],"aorta":[13,48,108],"from":[14],"coronary":[15],"computed":[16],"tomography":[17],"angiography":[18],"(CCTA).":[19],"The":[20],"is":[22,49,115],"performed":[23,74],"in":[24],"three":[25],"steps.":[26],"First,":[27],"initial":[29],"seed":[30,57],"points":[31,58],"are":[32,59,73,90],"selected":[33],"by":[34,51,67,98],"minimizing":[35],"newly":[37],"proposed":[38],"energy":[39],"function":[40],"across":[41],"Hough":[43],"circles.":[44],"Second,":[45],"segmented":[50],"geodesic":[52],"distance":[53],"transformation.":[54],"Third,":[55],"effectively":[60],"transferred":[61],"through":[62],"next":[64],"axial":[65,95],"slice":[66],"novel":[69],"transfer":[70],"function.":[71],"Experiments":[72],"using":[75],"database":[77],"composed":[78],"10":[80],"patients'":[81],"CCTA":[82],"images.":[83],"For":[84],"experiment,":[86],"ground":[88],"truths":[89],"annotated":[91],"manually":[92],"on":[93],"image":[96],"slices":[97],"medical":[100],"expert.":[101],"A":[102],"comparative":[103],"evaluation":[104],"with":[105],"state-of-the-art":[106],"commercial":[107],"algorithms":[110],"shows":[111],"that":[112],"our":[113],"approach":[114],"computationally":[116],"more":[117],"efficient":[118],"and":[119],"accurate":[120],"under":[121],"DSC":[123],"(Dice":[124],"Similarity":[125],"Coefficient)":[126],"measurements.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}