{"id":"https://openalex.org/W2043207341","doi":"https://doi.org/10.1109/isbi.2014.6867893","title":"Discriminating normal and abnormal left ventricular shapes in four-chamber view 2D echocardiography","display_name":"Discriminating normal and abnormal left ventricular shapes in four-chamber view 2D echocardiography","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2043207341","doi":"https://doi.org/10.1109/isbi.2014.6867893","mag":"2043207341"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","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/A5057284370","display_name":"Tanveer Syeda-Mahmood","orcid":"https://orcid.org/0000-0003-0059-3208"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tanveer Syeda-Mahmood","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center, San Jose, Ca. 95120"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, Ca. 95120","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887853","display_name":"Quan Wang","orcid":"https://orcid.org/0000-0003-1051-8287"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quan Wang","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY","Rensselaer Polytechnic Institute, Troy/NY"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy/NY","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065358417","display_name":"Patrick McNeillie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick McNeillie","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center, San Jose, Ca. 95120"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, Ca. 95120","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020179679","display_name":"David Beymer","orcid":"https://orcid.org/0000-0002-9491-4967"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Beymer","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center, San Jose, Ca. 95120"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, Ca. 95120","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054618681","display_name":"Colin B. Compas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin Compas","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA","IBM Almaden Research Center, San Jose, Ca. 95120"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, Ca. 95120","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057284370"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79989499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":null,"first_page":"401","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7796940803527832},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7724477052688599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168357491493225},{"id":"https://openalex.org/keywords/normal","display_name":"Normal","score":0.4381174147129059},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4303137958049774},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40727561712265015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3816291093826294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3780372142791748},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1775260865688324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09097334742546082}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7796940803527832},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7724477052688599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168357491493225},{"id":"https://openalex.org/C118732077","wikidata":"https://www.wikidata.org/wiki/Q273176","display_name":"Normal","level":3,"score":0.4381174147129059},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4303137958049774},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40727561712265015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3816291093826294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3780372142791748},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1775260865688324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09097334742546082},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2014.6867893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W196254188","https://openalex.org/W1566020886","https://openalex.org/W1592284865","https://openalex.org/W2013065887","https://openalex.org/W2023606650","https://openalex.org/W2097222278","https://openalex.org/W2102595307","https://openalex.org/W2112691218","https://openalex.org/W2133059825","https://openalex.org/W2722851397"],"related_works":["https://openalex.org/W3166204570","https://openalex.org/W3121246613","https://openalex.org/W2132137594","https://openalex.org/W2093537624","https://openalex.org/W350499458","https://openalex.org/W2062170304","https://openalex.org/W4231562521","https://openalex.org/W4240240174","https://openalex.org/W3128905899","https://openalex.org/W2117810665"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,33],"address":[4],"discrimination":[5],"between":[6],"normal":[7,18,77,101],"and":[8,43,48,78,102],"abnormal":[9,103],"left":[10,37,80,104],"ventricular":[11,38,81,105],"shapes":[12],"by":[13],"capturing":[14],"deviations":[15],"from":[16,76],"the":[17,30,36,54,62,67,71,108,111],"appearance":[19],"through":[20],"a":[21,89,97],"new":[22],"parametric":[23,31,51,112],"distorted":[24],"elliptic":[25,55],"shape":[26,68],"model.":[27],"To":[28],"apply":[29],"description,":[32],"automatically":[34],"locate":[35],"region":[39],"in":[40],"4-chamber":[41],"views":[42],"extract":[44],"its":[45],"bounding":[46,63,72],"contours":[47],"pose.":[49],"The":[50],"description":[52],"of":[53,100,110],"fit":[56],"with":[57,61],"minimum":[58],"alignment":[59],"error":[60],"contour":[64],"then":[65],"becomes":[66],"descriptor":[69],"for":[70,114],"contour.":[73],"Labeled":[74],"vectors":[75],"damaged":[79],"regions":[82],"are":[83,94],"separated":[84],"into":[85],"two":[86],"classes":[87],"using":[88],"support":[90],"vector":[91],"machine.":[92],"Results":[93],"presented":[95],"on":[96],"large":[98],"database":[99],"images":[106],"showing":[107],"effectiveness":[109],"features":[113],"normal/abnormal":[115],"discrimination.":[116]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}