{"id":"https://openalex.org/W2124121708","doi":"https://doi.org/10.1109/isbi.2008.4540974","title":"Segmentation of the evolving left ventricle by learning the dynamics","display_name":"Segmentation of the evolving left ventricle by learning the dynamics","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2124121708","doi":"https://doi.org/10.1109/isbi.2008.4540974","mag":"2124121708"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2008.4540974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4540974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th 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/A5102150592","display_name":"Walter Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter Sun","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017228370","display_name":"M\u00fcjdat \u00c7etin","orcid":"https://orcid.org/0000-0002-9824-1229"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mujdat Cetin","raw_affiliation_strings":["Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey","Laboratory for Information and Decision Systems, MIT, Cambridze, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]},{"raw_affiliation_string":"Laboratory for Information and Decision Systems, MIT, Cambridze, WA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101434905","display_name":"Raymond C. Chan","orcid":"https://orcid.org/0000-0003-3397-2351"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ray Chan","raw_affiliation_strings":["Massachusetts General Hospital, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107833743","display_name":"Alan S. Willsky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alan S. Willsky","raw_affiliation_strings":["Laboratory for Information and Decision Systems, MIT, Cambridze, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, MIT, Cambridze, WA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.065,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80386355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"229","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9918000102043152,"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":0.9918000102043152,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9538000226020813,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9484999775886536,"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/segmentation","display_name":"Segmentation","score":0.7477293014526367},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6308736801147461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6127611994743347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5995034575462341},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5743001103401184},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5401858687400818},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5376988053321838},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5250946283340454},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.49097588658332825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4392904043197632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4109647274017334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35884571075439453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27023282647132874}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7477293014526367},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6308736801147461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127611994743347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5995034575462341},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5743001103401184},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5401858687400818},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5376988053321838},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5250946283340454},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.49097588658332825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4392904043197632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4109647274017334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35884571075439453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27023282647132874},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":2,"locations":[{"id":"doi:10.1109/isbi.2008.4540974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4540974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:research.sabanciuniv.edu:10529","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308349","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1521738236","https://openalex.org/W1550061213","https://openalex.org/W1766667371","https://openalex.org/W1906911009","https://openalex.org/W1909487977","https://openalex.org/W1987869189","https://openalex.org/W2097222278","https://openalex.org/W2112607495","https://openalex.org/W2147484997","https://openalex.org/W2160337655","https://openalex.org/W2167947196","https://openalex.org/W2171191662","https://openalex.org/W2222255892","https://openalex.org/W4250143236","https://openalex.org/W6688817054"],"related_works":["https://openalex.org/W1522196789","https://openalex.org/W2102683994","https://openalex.org/W2063813108","https://openalex.org/W2373659438","https://openalex.org/W2162755489","https://openalex.org/W2006136340","https://openalex.org/W1879755808","https://openalex.org/W2072057318","https://openalex.org/W2164781768","https://openalex.org/W2085099126"],"abstract_inverted_index":{"We":[0,108],"propose":[1],"a":[2,13,24,34,39,55,119],"method":[3],"for":[4,26],"recursive":[5],"segmentation":[6,81],"of":[7,16,47,58,77,114,123],"the":[8,28,44,48,59,73,80,91,112,115],"left":[9],"ventricle":[10],"(LV)":[11],"across":[12],"temporal":[14,45],"sequence":[15],"magnetic":[17],"resonance":[18],"(MR)":[19],"images.":[20],"The":[21,50],"approach":[22],"involves":[23,64],"technique":[25],"learning":[27],"LV":[29],"boundary":[30,62,106],"dynamics":[31],"together":[32],"with":[33],"particle-based":[35],"inference":[36],"algorithm":[37],"on":[38,90,99,102,118],"loopy":[40],"graphical":[41],"model":[42],"capturing":[43],"periodicity":[46],"heart.":[49],"dynamic":[51],"system":[52],"state":[53,69,78],"is":[54,86],"low-dimensional":[56],"representation":[57],"boundary,":[60],"and":[61,104,110],"estimation":[63],"incorporating":[65],"curve":[66],"evolution":[67],"into":[68],"estimation.":[70],"By":[71],"formulating":[72],"problem":[74],"as":[75],"one":[76],"estimation,":[79],"at":[82,94],"each":[83],"particular":[84],"time":[85],"based":[87,101],"not":[88],"only":[89],"data":[92,121],"observed":[93],"that":[95],"instant,":[96],"but":[97],"also":[98],"predictions":[100],"past":[103],"future":[105],"estimates.":[107],"assess":[109],"demonstrate":[111],"effectiveness":[113],"proposed":[116],"framework":[117],"large":[120],"set":[122],"breath-hold":[124],"cardiac":[125],"MR":[126],"image":[127],"sequences.":[128]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
