{"id":"https://openalex.org/W2119026656","doi":"https://doi.org/10.1109/cvpr.2009.5206807","title":"Constrained marginal space learning for efficient 3D anatomical structure detection in medical images","display_name":"Constrained marginal space learning for efficient 3D anatomical structure detection in medical images","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2119026656","doi":"https://doi.org/10.1109/cvpr.2009.5206807","mag":"2119026656"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206807","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011888340","display_name":"Bogdan Georgescu","orcid":"https://orcid.org/0000-0001-5388-5699"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bogdan Georgescu","raw_affiliation_strings":["Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Computer and Information Sciences Department, Temple University, PA, USA","Haibin Ling contributed to this work when he was with the Integrated Data Systems Department of Siemens Corporate Research"],"affiliations":[{"raw_affiliation_string":"Computer and Information Sciences Department, Temple University, PA, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Haibin Ling contributed to this work when he was with the Integrated Data Systems Department of Siemens Corporate Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028465673","display_name":"S. Kevin Zhou","orcid":"https://orcid.org/0000-0002-6881-4444"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Kevin Zhou","raw_affiliation_strings":["Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067292578","display_name":"Michael Scheuering","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153902","display_name":"Siemens Healthcare (Germany)","ror":"https://ror.org/0449c4c15","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153902"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Scheuering","raw_affiliation_strings":["Computed Tomography, Siemens Healthcare Sector, Forchheim, Germany"],"affiliations":[{"raw_affiliation_string":"Computed Tomography, Siemens Healthcare Sector, Forchheim, Germany","institution_ids":["https://openalex.org/I4210153902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012751147","display_name":"Dorin Comaniciu","orcid":"https://orcid.org/0000-0002-5238-8647"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dorin Comaniciu","raw_affiliation_strings":["Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051649145"],"corresponding_institution_ids":["https://openalex.org/I4210137693"],"apc_list":null,"apc_paid":null,"fwci":1.2434,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.83542789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"201"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9983000159263611,"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/T10862","display_name":"AI in cancer detection","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6196713447570801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5878381729125977},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5574058294296265},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5425986647605896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5192258954048157},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.47734335064888},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4749614894390106},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4155358672142029},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.4111979305744171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39867734909057617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3819917142391205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32434698939323425},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1643373668193817}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6196713447570801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878381729125977},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5574058294296265},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5425986647605896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5192258954048157},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.47734335064888},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4749614894390106},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4155358672142029},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.4111979305744171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39867734909057617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3819917142391205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32434698939323425},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1643373668193817},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr.2009.5206807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206807","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.158.9040","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.9040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cfar.umd.edu/~shaohua/papers/zheng09cvpr_cmsl.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.159.8883","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.8883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.caip.rutgers.edu/~comanici/Papers/ConstrainedMSL_CVPR09.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.204.1497","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.204.1497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ist.temple.edu/%7Ehbling/publication/ZhengGLZSC09cvpr.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1563797250","https://openalex.org/W2038952578","https://openalex.org/W2084651007","https://openalex.org/W2101689475","https://openalex.org/W2101902009","https://openalex.org/W2141072581","https://openalex.org/W2146514558","https://openalex.org/W2147774191","https://openalex.org/W2152826865","https://openalex.org/W2158362736","https://openalex.org/W2163435437","https://openalex.org/W2164598857","https://openalex.org/W2169146573","https://openalex.org/W2171963641","https://openalex.org/W2309471314","https://openalex.org/W4213187341"],"related_works":["https://openalex.org/W3127350447","https://openalex.org/W3108700312","https://openalex.org/W4225472102","https://openalex.org/W2382948573","https://openalex.org/W2887325221","https://openalex.org/W3099445031","https://openalex.org/W2184550115","https://openalex.org/W3121191907","https://openalex.org/W2076146791","https://openalex.org/W1558326768"],"abstract_inverted_index":{"Recently,":[0],"we":[1,29,101,116],"proposed":[2,141],"marginal":[3,57,83],"space":[4],"learning":[5],"(MSL)":[6],"as":[7],"a":[8,26,73,87,206,210,215],"generic":[9],"approach":[10],"for":[11,36,39,43,109,121],"automatic":[12],"detection":[13,151,158,167,188,199],"of":[14,47,133],"3D":[15,27,122,148,211],"anatomical":[16,149,212],"structures":[17],"in":[18,62,80,136,153,159,168,214],"many":[19,70],"medical":[20,154],"imaging":[21],"modalities.":[22],"To":[23],"accurately":[24],"localize":[25],"object,":[28],"need":[30],"to":[31,105,118,128,191,208],"estimate":[32],"nine":[33],"parameters":[34,79],"(three":[35],"position,":[37],"three":[38,42,147],"orientation,":[40],"and":[41,125,164,171],"anisotropic":[44],"scaling).":[45],"Instead":[46],"uniformly":[48,60],"searching":[49],"the":[50,67,81,130,137,176,187],"original":[51,138],"nine-dimensional":[52],"parameter":[53],"space,":[54],"only":[55],"low-dimensional":[56],"spaces":[58],"are":[59],"searched":[61],"MSL,":[63],"which":[64],"significantly":[65],"improves":[66],"speed.":[68],"In":[69,98],"real":[71],"applications,":[72],"strong":[74],"correlation":[75,108],"may":[76,90],"exist":[77],"among":[78],"same":[82],"spaces.":[84],"For":[85],"example,":[86],"large":[88,92],"object":[89],"have":[91],"scaling":[93],"values":[94],"along":[95],"all":[96],"directions.":[97],"this":[99,107],"paper,":[100],"propose":[102,117],"constrained":[103,183],"MSL":[104,184],"exploit":[106],"further":[110],"speed-up.":[111],"As":[112],"another":[113],"major":[114],"contribution,":[115],"use":[119],"quaternions":[120],"orientation":[123],"representation":[124],"distance":[126],"measurement":[127],"overcome":[129],"inherent":[131],"drawbacks":[132],"Euler":[134],"angles":[135],"MSL.":[139],"The":[140],"method":[142],"has":[143],"been":[144],"tested":[145],"on":[146,175],"structure":[150,213],"problems":[152],"images,":[155],"including":[156],"liver":[157],"computed":[160],"tomography":[161],"(CT)":[162],"volumes,":[163],"left":[165],"ventricle":[166],"both":[169],"CT":[170],"ultrasound":[172],"volumes.":[173],"Experiments":[174],"largest":[177],"datasets":[178],"ever":[179],"reported":[180],"show":[181],"that":[182],"can":[185],"improve":[186],"speed":[189],"up":[190],"14":[192],"times,":[193],"while":[194],"achieving":[195],"comparable":[196],"or":[197],"better":[198],"accuracy.":[200],"It":[201],"takes":[202],"less":[203],"than":[204],"half":[205],"second":[207],"detect":[209],"volume.":[216]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}