{"id":"https://openalex.org/W3120156881","doi":"https://doi.org/10.3390/e23010064","title":"Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images","display_name":"Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images","publication_year":2021,"publication_date":"2021-01-02","ids":{"openalex":"https://openalex.org/W3120156881","doi":"https://doi.org/10.3390/e23010064","mag":"3120156881","pmid":"https://pubmed.ncbi.nlm.nih.gov/33401695"},"language":"en","primary_location":{"id":"doi:10.3390/e23010064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23010064","pdf_url":"https://www.mdpi.com/1099-4300/23/1/64/pdf?version=1609577482","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/23/1/64/pdf?version=1609577482","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101467968","display_name":"Byunghwan Jeon","orcid":"https://orcid.org/0000-0002-0414-1762"},"institutions":[{"id":"https://openalex.org/I4210113474","display_name":"Kyungil University","ror":"https://ror.org/024kwvm84","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210113474"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byunghwan Jeon","raw_affiliation_strings":["School of Computer Science, Kyungil University, Gyeongsan 38428, Korea"],"raw_orcid":"https://orcid.org/0000-0002-0414-1762","affiliations":[{"raw_affiliation_string":"School of Computer Science, Kyungil University, Gyeongsan 38428, Korea","institution_ids":["https://openalex.org/I4210113474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074516629","display_name":"Sung\u2010Hee Jung","orcid":"https://orcid.org/0000-0002-8042-457X"},"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":"Sunghee Jung","raw_affiliation_strings":["CONNECT-AI R&D Center, Yonsei University College of Medicine, Seoul 03722,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CONNECT-AI R&D Center, Yonsei University College of Medicine, Seoul 03722,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":["CONNECT-AI R&D Center, Yonsei University College of Medicine, Seoul 03722,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CONNECT-AI R&D Center, Yonsei University College of Medicine, Seoul 03722,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":true,"raw_author_name":"Hyuk-Jae Chang","raw_affiliation_strings":["CONNECT-AI R&D Center, Yonsei University College of Medicine, Seoul 03722,Korea","Division of Cardiology Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea"],"raw_orcid":"https://orcid.org/0000-0002-6139-7545","affiliations":[{"raw_affiliation_string":"CONNECT-AI R&D Center, Yonsei University College of Medicine, Seoul 03722,Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Division of Cardiology Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083433064"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.194,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45576914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":"1","first_page":"64","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9793000221252441,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9765999913215637,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7369470596313477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6687613129615784},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5495683550834656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5344725251197815},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5112810134887695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4709492623806},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.41998571157455444},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.41219207644462585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3026059865951538},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2501746416091919}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7369470596313477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6687613129615784},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5495683550834656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5344725251197815},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5112810134887695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4709492623806},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.41998571157455444},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.41219207644462585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3026059865951538},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2501746416091919},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e23010064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23010064","pdf_url":"https://www.mdpi.com/1099-4300/23/1/64/pdf?version=1609577482","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33401695","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33401695","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:d2b4243affb44c3e9d5a331804a38108","is_oa":true,"landing_page_url":"https://doaj.org/article/d2b4243affb44c3e9d5a331804a38108","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":"Entropy, Vol 23, Iss 1, p 64 (2021)","raw_type":"article"},{"id":"pmh:oai:ir.ymlib.yonsei.ac.kr:22282913/182085","is_oa":true,"landing_page_url":"https://ir.ymlib.yonsei.ac.kr/handle/22282913/182085","pdf_url":null,"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:mdpi.com:/1099-4300/23/1/64/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23010064","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy; Volume 23; Issue 1; Pages: 64","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7824462","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7824462","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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23010064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23010064","pdf_url":"https://www.mdpi.com/1099-4300/23/1/64/pdf?version=1609577482","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5741785992","display_name":null,"funder_award_id":"1345322865","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3120156881.pdf","grobid_xml":"https://content.openalex.org/works/W3120156881.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W21976314","https://openalex.org/W109871117","https://openalex.org/W1522965957","https://openalex.org/W1583406651","https://openalex.org/W2028806735","https://openalex.org/W2046289434","https://openalex.org/W2056046662","https://openalex.org/W2105687765","https://openalex.org/W2125627053","https://openalex.org/W2165023525","https://openalex.org/W2169499040","https://openalex.org/W2172234567","https://openalex.org/W2236355562","https://openalex.org/W2315137797","https://openalex.org/W2520402508","https://openalex.org/W2592726317","https://openalex.org/W2614500948","https://openalex.org/W2771590529","https://openalex.org/W2803858786","https://openalex.org/W2809133690","https://openalex.org/W2890185666","https://openalex.org/W2891427117","https://openalex.org/W2895798744","https://openalex.org/W2896993145","https://openalex.org/W2903819949","https://openalex.org/W2913006791","https://openalex.org/W2934416388","https://openalex.org/W2951936097","https://openalex.org/W2959186697","https://openalex.org/W2979352690","https://openalex.org/W3041903417","https://openalex.org/W3080508714","https://openalex.org/W3091088513","https://openalex.org/W3093394156","https://openalex.org/W3100566782","https://openalex.org/W3102651517","https://openalex.org/W3105477982","https://openalex.org/W6753179534"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2028455732","https://openalex.org/W4313703117","https://openalex.org/W2087496541","https://openalex.org/W2108615321","https://openalex.org/W1984758362","https://openalex.org/W2085564391","https://openalex.org/W2042049060","https://openalex.org/W2992936613"],"abstract_inverted_index":{"We":[0,66,87],"propose":[1,88],"a":[2,70,89],"robust":[3],"method":[4,134],"to":[5,43,79,139],"simultaneously":[6],"localize":[7,140],"multiple":[8,23,85,142],"objects":[9,24,103,143],"in":[10,25,122,144],"cardiac":[11,48,123],"computed":[12],"tomography":[13],"angiography":[14],"(CTA)":[15],"images.":[16],"The":[17,133],"relative":[18,97],"prior":[19,77],"distributions":[20],"of":[21,39,53,62,83,129],"the":[22,26,35,51,60,63,68,96,117,127,130],"three-dimensional":[27],"(3D)":[28],"space":[29],"can":[30,58,100],"be":[31,137],"obtained":[32],"through":[33],"integrating":[34],"geometric":[36],"morphological":[37],"relationship":[38],"each":[40,93],"target":[41],"object":[42],"some":[44],"reference":[45,64],"objects.":[46,65,86],"In":[47],"CTA":[49,124],"images,":[50],"cross-sections":[52],"ascending":[54],"and":[55,116],"descending":[56],"aorta":[57],"play":[59],"role":[61],"employed":[67],"maximum":[69],"posteriori":[71],"(MAP)":[72],"estimator":[73],"that":[74,104],"utilizes":[75],"anatomic":[76],"knowledge":[78],"address":[80],"this":[81],"problem":[82],"localizing":[84],"new":[90],"feature":[91],"for":[92],"pixel":[94],"using":[95],"distances,":[98],"which":[99],"define":[101],"any":[102],"have":[105],"unclear":[106],"boundaries.":[107],"Our":[108],"experimental":[109],"results":[110],"targeting":[111],"four":[112],"pulmonary":[113],"veins":[114],"(PVs)":[115],"left":[118],"atrial":[119],"appendage":[120],"(LAA)":[121],"images":[125],"demonstrate":[126],"robustness":[128],"proposed":[131],"method.":[132],"could":[135],"also":[136],"extended":[138],"other":[141],"different":[145],"applications.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}