{"id":"https://openalex.org/W2152333757","doi":"https://doi.org/10.1109/isbi.2011.5872490","title":"Segmentation of 3D RF echocardiography using a joint spatio-temporal predictor and signal intensity model","display_name":"Segmentation of 3D RF echocardiography using a joint spatio-temporal predictor and signal intensity model","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2152333757","doi":"https://doi.org/10.1109/isbi.2011.5872490","mag":"2152333757"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5041601902","display_name":"Paul C. Pearlman","orcid":"https://orcid.org/0000-0001-7225-5019"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul C. Pearlman","raw_affiliation_strings":["Departments of Electrical Engineering, Yale University, New Heaven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departments of Electrical Engineering, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015914293","display_name":"Hemant D. Tagare","orcid":"https://orcid.org/0000-0001-9421-0612"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hemant D. Tagare","raw_affiliation_strings":["Departments of Diagnostic Radiology, Yale University, New Heaven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departments of Diagnostic Radiology, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081217615","display_name":"Ben A. Lin","orcid":"https://orcid.org/0000-0001-6034-169X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben A. Lin","raw_affiliation_strings":["Departments of Internal Medicine, Yale University, New Heaven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departments of Internal Medicine, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041557267","display_name":"Albert J. Sinusas","orcid":"https://orcid.org/0000-0003-0972-9589"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert J. Sinusas","raw_affiliation_strings":["Yale University, New Haven, CT, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, US","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046673670","display_name":"James S. Duncan","orcid":"https://orcid.org/0000-0002-5167-9856"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S. Duncan","raw_affiliation_strings":["Yale University, New Haven, CT, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, US","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.198,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64498567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"649","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9925000071525574,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.989799976348877,"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/segmentation","display_name":"Segmentation","score":0.7131837010383606},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6848077178001404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6392897367477417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6358034014701843},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5451734066009521},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5302441120147705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5099042654037476},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5079408288002014},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.48790284991264343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43296223878860474},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41259095072746277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2563728094100952},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14258411526679993},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07471087574958801},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06640505790710449}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7131837010383606},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6848077178001404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6392897367477417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358034014701843},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5451734066009521},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5302441120147705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5099042654037476},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5079408288002014},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.48790284991264343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43296223878860474},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41259095072746277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2563728094100952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14258411526679993},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07471087574958801},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06640505790710449},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W18096758","https://openalex.org/W1484843884","https://openalex.org/W1529218336","https://openalex.org/W1573820185","https://openalex.org/W1992524296","https://openalex.org/W2047275468","https://openalex.org/W2115779572","https://openalex.org/W2116040950","https://openalex.org/W2119249988","https://openalex.org/W2122942014","https://openalex.org/W2170523039","https://openalex.org/W4307024155","https://openalex.org/W6684662558"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,16],"approach":[3],"for":[4,23],"left":[5],"ventricular":[6],"segmentation":[7,61],"of":[8,46,75],"radio-frequency":[9],"(RF)":[10],"ultrasound":[11],"sequences.":[12],"Our":[13],"method":[14,85],"employs":[15],"independent":[17],"identically":[18],"distributed":[19],"(iid)":[20],"spatial":[21,70],"model":[22,30,59,71,78],"RF":[24],"voxel":[25],"intensity":[26],"and":[27,99],"a":[28,32,47,73],"conditional":[29,58,77],"relating":[31],"subsequent":[33],"frame":[34,41],"in":[35,54],"the":[36,40,55,69,76,81,104],"image":[37,65],"sequence":[38],"to":[39,64,79],"being":[42],"segmented":[43],"by":[44,88,100],"means":[45],"linear":[48,105],"predictor":[49],"that":[50],"exploits":[51],"spatio-temporal":[52],"coherence":[53],"data.":[56],"The":[57,84],"overcomes":[60,72],"problems":[62],"due":[63],"inhomogeneity":[66],"issues,":[67],"while":[68],"tendency":[74],"underestimate":[80],"blood":[82],"pool.":[83],"is":[86],"validated":[87],"comparison":[89],"with":[90],"manual":[91],"tracings,":[92],"segmentations":[93,101],"performed":[94],"using":[95],"Chan-Vese":[96],"level":[97],"sets,":[98],"leveraging":[102],"only":[103],"predictor.":[106]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
