{"id":"https://openalex.org/W2590651460","doi":"https://doi.org/10.1109/tmi.2017.2673121","title":"ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images","display_name":"ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images","publication_year":2017,"publication_date":"2017-02-23","ids":{"openalex":"https://openalex.org/W2590651460","doi":"https://doi.org/10.1109/tmi.2017.2673121","mag":"2590651460","pmid":"https://pubmed.ncbi.nlm.nih.gov/28252392"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2673121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2673121","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1704.05629","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bob D. de Vos","orcid":"https://orcid.org/0000-0002-8358-6849"},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bob D. de Vos","raw_affiliation_strings":["Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-8358-6849","affiliations":[{"raw_affiliation_string":"Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jelmer M. Wolterink","orcid":"https://orcid.org/0000-0001-5505-475X"},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jelmer M. Wolterink","raw_affiliation_strings":["Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5505-475X","affiliations":[{"raw_affiliation_string":"Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pim A. de Jong","orcid":null},"institutions":[{"id":"https://openalex.org/I911458345","display_name":"Amsterdam UMC Location Vrije Universiteit Amsterdam","ror":"https://ror.org/00q6h8f30","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833","https://openalex.org/I911458345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Pim A. de Jong","raw_affiliation_strings":["Department of Radiology, University Medical Center, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, University Medical Center, The Netherlands","institution_ids":["https://openalex.org/I911458345"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tim Leiner","orcid":null},"institutions":[{"id":"https://openalex.org/I911458345","display_name":"Amsterdam UMC Location Vrije Universiteit Amsterdam","ror":"https://ror.org/00q6h8f30","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833","https://openalex.org/I911458345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tim Leiner","raw_affiliation_strings":["Department of Radiology, University Medical Center, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, University Medical Center, The Netherlands","institution_ids":["https://openalex.org/I911458345"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Max A. Viergever","orcid":null},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Max A. Viergever","raw_affiliation_strings":["Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ivana Isgum","orcid":null},"institutions":[{"id":"https://openalex.org/I3018483916","display_name":"University Medical Center Utrecht","ror":"https://ror.org/0575yy874","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I3018483916"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ivana Isgum","raw_affiliation_strings":["Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I3018483916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.141,"has_fulltext":false,"cited_by_count":127,"citation_normalized_percentile":{"value":0.97267824,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"36","issue":"7","first_page":"1470","last_page":"1481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.756600022315979,"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":0.756600022315979,"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":0.11550000309944153,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.027400000020861626,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5573999881744385},{"id":"https://openalex.org/keywords/sagittal-plane","display_name":"Sagittal plane","score":0.4542999863624573},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.44749999046325684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4189000129699707},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3926999866962433},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3749000132083893},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.3747999966144562},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.36329999566078186},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3601999878883362}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7099000215530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651999711990356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5587000250816345},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C178910020","wikidata":"https://www.wikidata.org/wiki/Q2211994","display_name":"Sagittal plane","level":2,"score":0.4542999863624573},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3926999866962433},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3749000132083893},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.3747999966144562},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.3522999882698059},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3278999924659729},{"id":"https://openalex.org/C13483470","wikidata":"https://www.wikidata.org/wiki/Q1470152","display_name":"Coronal plane","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C2780663194","wikidata":"https://www.wikidata.org/wiki/Q3270170","display_name":"Descending aorta","level":3,"score":0.3122999966144562},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C73621898","wikidata":"https://www.wikidata.org/wiki/Q2940504","display_name":"Distance transform","level":3,"score":0.2973000109195709},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C2778249958","wikidata":"https://www.wikidata.org/wiki/Q2349469","display_name":"Ascending aorta","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C2781137159","wikidata":"https://www.wikidata.org/wiki/Q1283318","display_name":"Chest radiograph","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.2572000026702881},{"id":"https://openalex.org/C2779980429","wikidata":"https://www.wikidata.org/wiki/Q101004","display_name":"Aorta","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.251800000667572}],"mesh":[{"descriptor_ui":"D000792","descriptor_name":"Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000792","descriptor_name":"Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000792","descriptor_name":"Angiography","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":"D008099","descriptor_name":"Liver","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","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":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":4,"locations":[{"id":"doi:10.1109/tmi.2017.2673121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2673121","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:28252392","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28252392","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:1704.05629","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.05629","pdf_url":"https://arxiv.org/pdf/1704.05629","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:amcpub:oai:pure.amc.nl:publications/d37715b6-4dc5-4db7-b3e2-6644be1ff596","is_oa":false,"landing_page_url":"https://pure.amc.nl/en/publications/convnetbased-localization-of-anatomical-structures-in-3d-medical-images(d37715b6-4dc5-4db7-b3e2-6644be1ff596).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE transactions on medical imaging, 36(7), 1470 - 1481. Institute of Electrical and Electronics Engineers Inc.","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1704.05629","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.05629","pdf_url":"https://arxiv.org/pdf/1704.05629","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320334893","display_name":"Stichting voor de Technische Wetenschappen","ror":"https://ror.org/057tq3593"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1213336605","https://openalex.org/W1504543387","https://openalex.org/W1590690596","https://openalex.org/W1901606657","https://openalex.org/W2014918341","https://openalex.org/W2040149488","https://openalex.org/W2049247209","https://openalex.org/W2054279472","https://openalex.org/W2064675550","https://openalex.org/W2065698093","https://openalex.org/W2084755508","https://openalex.org/W2088049833","https://openalex.org/W2089954740","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2110161289","https://openalex.org/W2112865076","https://openalex.org/W2162140684","https://openalex.org/W2168747910","https://openalex.org/W2169146573","https://openalex.org/W2303853551","https://openalex.org/W2306541384","https://openalex.org/W2318872361","https://openalex.org/W2345003174","https://openalex.org/W2427373474","https://openalex.org/W2521625023","https://openalex.org/W2547083344","https://openalex.org/W6622239757","https://openalex.org/W6627641123","https://openalex.org/W6631943919","https://openalex.org/W6680789778","https://openalex.org/W6684191040","https://openalex.org/W6761030284"],"related_works":[],"abstract_inverted_index":{"Localization":[0,153],"of":[1,22,34,56,60,80,99,178],"anatomical":[2,26,58],"structures":[3,27,179],"is":[4,50,86],"a":[5,11,17,42,70],"prerequisite":[6],"for":[7,19],"many":[8],"tasks":[9],"in":[10,28,37,62,102,134,142,149,175,207],"medical":[12,30],"image":[13,39],"analysis.":[14],"We":[15],"propose":[16],"method":[18,201],"automatic":[20],"localization":[21,177,208],"one":[23],"or":[24],"more":[25,203],"3-D":[29,71,90],"images":[31],"through":[32],"detection":[33],"their":[35],"presence":[36,55],"2-D":[38],"slices":[40,67,79],"using":[41,156],"convolutional":[43],"neural":[44],"network":[45],"(ConvNet).":[46],"A":[47],"single":[48],"ConvNet":[49,76,101],"trained":[51],"to":[52,77],"detect":[53],"the":[54,57,75,97,100,106,138,147,157,176,188,191],"structure":[59,192],"interest":[61],"axial,":[63],"coronal,":[64],"and":[65,116,129,146,161,168,187,205],"sagittal":[66],"extracted":[68],"from":[69],"image.":[72],"To":[73],"allow":[74],"analyze":[78],"different":[81],"sizes,":[82],"spatial":[83],"pyramid":[84],"pooling":[85],"applied.":[87],"After":[88],"detection,":[89],"bounding":[91,165],"boxes":[92],"are":[93],"created":[94],"by":[95],"combining":[96],"output":[98],"all":[103],"slices.":[104],"In":[105],"experiments,":[107],"200":[108],"chest":[109,135],"CT,":[110],"100":[111,117],"cardiac":[112,140,143],"CT":[113,119,136,151],"angiography":[114],"(CTA),":[115],"abdomen":[118,150],"scans":[120],"were":[121,132,173],"used.":[122],"The":[123,170,200],"heart,":[124],"ascending":[125],"aorta,":[126],"aortic":[127,185],"arch,":[128],"descending":[130],"aorta":[131],"localized":[133],"scans,":[137,145],"left":[139],"ventricle":[141],"CTA":[144],"liver":[148],"scans.":[152],"was":[154,194,202],"evaluated":[155],"distances":[158],"between":[159],"automatically":[160],"manually":[162],"defined":[163,182],"reference":[164],"box":[166],"centroids":[167],"walls.":[169],"best":[171],"results":[172],"achieved":[174],"with":[180],"clearly":[181,196],"boundaries":[183],"(e.g.,":[184,198],"arch)":[186],"worst":[189],"when":[190],"boundary":[193],"not":[195],"visible":[197],"liver).":[199],"robust":[204],"accurate":[206],"multiple":[209],"structures.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2017-03-03T00:00:00"}
