{"id":"https://openalex.org/W1977409776","doi":"https://doi.org/10.1109/iccv.2011.6126240","title":"Segmentation fusion for connectomics","display_name":"Segmentation fusion for connectomics","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W1977409776","doi":"https://doi.org/10.1109/iccv.2011.6126240","mag":"1977409776"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:12374865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086735766","display_name":"Amelio V\u00e1zquez-Reina","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amelio Vazquez-Reina","raw_affiliation_strings":["Department of Computer Science, Tufts University, MA, USA","School of Engineering and Applied Sciences, Harvard University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tufts University, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069521471","display_name":"Michael A. Gelbart","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gelbart","raw_affiliation_strings":["Graduate Program in Biophysics, Harvard University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Program in Biophysics, Harvard University, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103001755","display_name":"Daniel Huang","orcid":"https://orcid.org/0000-0003-2624-5439"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Huang","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037495122","display_name":"Jeff W. Lichtman","orcid":"https://orcid.org/0000-0002-0208-3212"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Lichtman","raw_affiliation_strings":["Center of Brain Science, Harvard University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Brain Science, Harvard University, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073127824","display_name":"Eric L. Miller","orcid":"https://orcid.org/0000-0002-3156-6002"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Miller","raw_affiliation_strings":["Department of Computer Science, Tufts University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tufts University, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043151044","display_name":"Hanspeter Pfister","orcid":"https://orcid.org/0000-0002-3620-2582"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanspeter Pfister","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"177","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9790999889373779,"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/connectomics","display_name":"Connectomics","score":0.878972589969635},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7190232872962952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944087147712708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6004247069358826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5943013429641724},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5942180752754211},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4425322711467743},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.43951594829559326},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42743825912475586},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4220074713230133},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4200458824634552},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4154115319252014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33736175298690796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3345085680484772},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.20166519284248352}],"concepts":[{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.878972589969635},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7190232872962952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944087147712708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004247069358826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5943013429641724},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5942180752754211},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4425322711467743},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.43951594829559326},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42743825912475586},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4220074713230133},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4200458824634552},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4154115319252014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33736175298690796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3345085680484772},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.20166519284248352},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2011.6126240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:dash.harvard.edu:1/12374865","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:12374865","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:dash.harvard.edu:1/12374865","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:12374865","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W358380361","https://openalex.org/W1924015474","https://openalex.org/W1955404912","https://openalex.org/W1961584076","https://openalex.org/W1986245501","https://openalex.org/W1994417022","https://openalex.org/W2002841446","https://openalex.org/W2019319323","https://openalex.org/W2070360070","https://openalex.org/W2071757129","https://openalex.org/W2083659526","https://openalex.org/W2098979973","https://openalex.org/W2107833399","https://openalex.org/W2110516302","https://openalex.org/W2120340025","https://openalex.org/W2122393080","https://openalex.org/W2135994945","https://openalex.org/W2152548630","https://openalex.org/W2161926992","https://openalex.org/W2166226927","https://openalex.org/W2911964244","https://openalex.org/W4231853669","https://openalex.org/W6640152198","https://openalex.org/W6641135481","https://openalex.org/W6680167234","https://openalex.org/W6684459997"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"We":[0,67,93,112],"address":[1],"the":[2,22,33,43,58,61,78,96,104,110,153],"problem":[3],"of":[4,8,11,15,36,83,98,109,118,134,144,169],"automatic":[5],"3D":[6,51,84],"segmentation":[7,59,108],"a":[9,28,48,64,81,140,166],"stack":[10],"electron":[12],"microscopy":[13],"sections":[14],"brain":[16],"tissue.":[17],"Unlike":[18],"previous":[19,160],"efforts,":[20],"where":[21],"reconstruction":[23,129],"is":[24],"usually":[25],"done":[26],"on":[27,165],"section-to-section":[29],"basis,":[30],"or":[31,171],"by":[32],"agglomerative":[34],"clustering":[35],"2D":[37,72,155],"segments,":[38],"we":[39,56,137,147],"leverage":[40],"information":[41],"from":[42],"entire":[44],"volume":[45],"to":[46,63,149],"obtain":[47],"globally":[49,106],"optimal":[50],"segmentation.":[52],"To":[53],"do":[54],"this,":[55],"formulate":[57],"as":[60,132],"solution":[62],"fusion":[65,97,122],"problem.":[66],"first":[68],"enumerate":[69,152],"multiple":[70],"possible":[71],"segmentations":[73],"for":[74],"each":[75],"section":[76],"in":[77],"stack,":[79],"and":[80,100,120,126,151],"set":[82,143,168],"links":[85,101],"that":[86,102,114,146],"may":[87],"connect":[88],"segments":[89,99],"across":[90],"consecutive":[91],"sections.":[92],"then":[94],"identify":[95],"provide":[103],"most":[105],"consistent":[107],"stack.":[111],"show":[113],"this":[115,135],"two-step":[116],"approach":[117],"pre-enumeration":[119],"posterior":[121],"yields":[123],"significant":[124],"advantages":[125],"provides":[127],"state-of-the-art":[128],"results.":[130],"Finally,":[131],"part":[133],"method,":[136],"also":[138],"introduce":[139],"robust":[141],"rotationally-invariant":[142],"features":[145,158],"use":[148],"learn":[150],"above":[154],"segmentations.":[156],"Our":[157],"outperform":[159],"connectomic-specific":[161],"descriptors":[162],"without":[163],"relying":[164],"large":[167],"heuristics":[170],"manually":[172],"designed":[173],"filter":[174],"banks.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
