{"id":"https://openalex.org/W1578822466","doi":"https://doi.org/10.1109/isbi.2015.7163958","title":"Echocardiogram view classification with appearance and spatial distributions","display_name":"Echocardiogram view classification with appearance and spatial distributions","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1578822466","doi":"https://doi.org/10.1109/isbi.2015.7163958","mag":"1578822466"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7163958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004268076","display_name":"Ronak Gupta","orcid":"https://orcid.org/0000-0001-9684-0116"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ronak Gupta","raw_affiliation_strings":["Indian Institute of Technology Delhi New Delhi, India","Indian Institute of Technology Delhi, New Delhi, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi New Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian Institute of Technology Delhi, New Delhi, India#TAB#","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086242686","display_name":"Santanu Chaudhury","orcid":"https://orcid.org/0000-0002-5488-7773"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santanu Chaudhury","raw_affiliation_strings":["Indian Institute of Technology Delhi New Delhi, India","Indian Institute of Technology Delhi, New Delhi, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi New Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian Institute of Technology Delhi, New Delhi, India#TAB#","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035845889","display_name":"Navneeth Subramanian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Navneeth Subramanian","raw_affiliation_strings":["GE Global Research, Bangalore, India","GE Global Research Bangalore  India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]},{"raw_affiliation_string":"GE Global Research Bangalore  India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054886076","display_name":"Satish C. Govind","orcid":"https://orcid.org/0000-0001-6106-687X"},"institutions":[{"id":"https://openalex.org/I288496929","display_name":"Narayana Health","ror":"https://ror.org/05kx1ke03","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I288496929"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satish Govind","raw_affiliation_strings":["Narayana Institute of Cardiac Sciences Bangalore, India","Narayana Institute of Cardiac Sciences, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Narayana Institute of Cardiac Sciences Bangalore, India","institution_ids":["https://openalex.org/I288496929"]},{"raw_affiliation_string":"Narayana Institute of Cardiac Sciences, Bangalore, India","institution_ids":["https://openalex.org/I288496929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9794999957084656,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.972599983215332,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7187806367874146},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7152344584465027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7137861251831055},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5288905501365662},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5235133767127991},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4800630509853363},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47347795963287354},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44632455706596375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19516482949256897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1142713725566864},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0792088508605957}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7187806367874146},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7152344584465027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7137861251831055},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5288905501365662},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5235133767127991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4800630509853363},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47347795963287354},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44632455706596375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19516482949256897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1142713725566864},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0792088508605957},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2015.7163958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1917380066","https://openalex.org/W2088644411","https://openalex.org/W2107465486","https://openalex.org/W2135086073","https://openalex.org/W2138583139","https://openalex.org/W2151103935","https://openalex.org/W2162915993","https://openalex.org/W6636494156"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W4249847449","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W44395729","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W2053928191"],"abstract_inverted_index":{"When":[0],"imaging":[1],"the":[2,15,20,34,76,93,103,109,114,121],"heart,":[3],"using":[4],"a":[5,60,73,132],"2D":[6],"ultrasound":[7,143],"probe,":[8],"different":[9],"views":[10,25],"can":[11],"manifest":[12],"depending":[13],"on":[14,137],"location":[16],"and":[17,36,53,95,120],"angulations":[18],"of":[19,23,38,40,55,68,88,98,105,111,135,141],"probe.":[21],"Some":[22],"these":[24,56],"have":[26],"been":[27],"labeled":[28],"as":[29,59],"standard":[30,57],"views,":[31,58],"due":[32],"to":[33],"presentation":[35],"ease":[37],"assessment":[39],"key":[41],"cardiac":[42],"structures":[43],"in":[44,75],"them.":[45],"We":[46,78,101],"present":[47,79],"an":[48,80,138],"approach":[49,81],"for":[50,63,82,108],"automatic":[51],"recognition":[52],"classification":[54,133],"potential":[61],"enabler":[62],"automated":[64],"measurements":[65],"or":[66],"detection":[67],"noise":[69],"-":[70],"all":[71],"without":[72],"human":[74],"loop.":[77],"view":[83],"classification,":[84],"Spatial":[85],"Pyramid":[86],"Histogram":[87],"Words":[89],"which":[90],"successfully":[91],"models":[92],"appearance":[94],"shape":[96],"distributions":[97],"object":[99],"class.":[100],"demonstrate":[102],"effectiveness":[104],"this":[106,127],"technique":[107],"task":[110],"discrimination":[112],"between":[113],"B-mode":[115],"Parasternal":[116],"Long":[117],"Axis":[118,123],"(PLAX)":[119],"Short":[122],"(SAX)":[124],"echocardiograms.":[125],"For":[126],"task,":[128],"our":[129],"method":[130],"shows":[131],"accuracy":[134],"98.3%":[136],"exhaustive":[139],"database":[140],"703":[142],"images.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}