{"id":"https://openalex.org/W2107531622","doi":"https://doi.org/10.1109/cimsvp.2009.4925647","title":"3D volume extraction of densely packed cells in EM data stack by forward and backward graph cuts","display_name":"3D volume extraction of densely packed cells in EM data stack by forward and backward graph cuts","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2107531622","doi":"https://doi.org/10.1109/cimsvp.2009.4925647","mag":"2107531622"},"language":"en","primary_location":{"id":"doi:10.1109/cimsvp.2009.4925647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimsvp.2009.4925647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing","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/A5019328343","display_name":"Huei\u2010Fang Yang","orcid":"https://orcid.org/0000-0001-8261-6965"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huei-Fang Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A and M University, College Station, TX, USA","Department of Computer Science and Engineering, Texas A&M University College Station, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011352362","display_name":"Yoonsuck Choe","orcid":"https://orcid.org/0000-0002-1454-4610"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoonsuck Choe","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A and M University, College Station, TX, USA","Department of Computer Science and Engineering, Texas A&M University College Station, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019328343"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.3786,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63771751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"smc 9","issue":null,"first_page":"47","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6223235130310059},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6111449003219604},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5943236351013184},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5680098533630371},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.5123389959335327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5104157328605652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4853314459323883},{"id":"https://openalex.org/keywords/energy-minimization","display_name":"Energy minimization","score":0.47056910395622253},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4559434652328491},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4395805597305298},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.42953455448150635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3436703681945801},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3282976448535919},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16770583391189575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6223235130310059},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6111449003219604},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5943236351013184},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5680098533630371},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.5123389959335327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5104157328605652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4853314459323883},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.47056910395622253},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4559434652328491},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4395805597305298},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.42953455448150635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3436703681945801},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3282976448535919},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16770583391189575},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cimsvp.2009.4925647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimsvp.2009.4925647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.515","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://faculty.cs.tamu.edu/choe/ftp/publications/yang.cimsvp09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2020999234","https://openalex.org/W2038665424","https://openalex.org/W2053704196","https://openalex.org/W2054097208","https://openalex.org/W2079283718","https://openalex.org/W2113137767","https://openalex.org/W2116040950","https://openalex.org/W2119300483","https://openalex.org/W2122184585","https://openalex.org/W2124260943","https://openalex.org/W2133059825","https://openalex.org/W2136682011","https://openalex.org/W2157840858","https://openalex.org/W2169551590","https://openalex.org/W3211330693","https://openalex.org/W4385967650","https://openalex.org/W6636831853","https://openalex.org/W6680507509"],"related_works":["https://openalex.org/W1518796764","https://openalex.org/W347294048","https://openalex.org/W2118841422","https://openalex.org/W2226908759","https://openalex.org/W2061881449","https://openalex.org/W1483822002","https://openalex.org/W1899667806","https://openalex.org/W2351116219","https://openalex.org/W2110536527","https://openalex.org/W2153731865"],"abstract_inverted_index":{"3D":[0,52,73,177,198,205,212,263],"reconstruction":[1],"on":[2,23,62,146,152,237,241],"dense":[3,40,76],"nanoscale":[4,41,77,242],"medical":[5,42,78],"images":[6,25,43,83],"is":[7,149,179,207],"a":[8,59,88,107,131,196],"very":[9,29,44],"challenging":[10],"research":[11],"topic.":[12],"The":[13,144,254],"challenge":[14],"comes":[15],"from":[16,75,245],"the":[17,37,49,138,153,171,203,208,217,230,246],"fact":[18],"that":[19,111,115,257],"boundaries":[20],"of":[21,39,210,219],"objects":[22],"such":[24],"are":[26,84,97,116,126,134,234],"not":[27],"always":[28],"clear":[30],"due":[31],"to":[32,71,135,194],"imperfect":[33],"staining.":[34],"This":[35],"makes":[36],"segmentation":[38,67,95,124],"difficult":[45],"and":[46,64,227,240],"thus":[47],"increases":[48],"difficulty":[50],"in":[51,130,140,161,170,192],"reconstruction.":[53],"In":[54,80,189],"this":[55],"paper,":[56],"we":[57],"proposed":[58],"method":[60,110,259],"based":[61,151],"watershed":[63,90,94,122],"an":[65,162],"interactive":[66],"technique,":[68],"graph":[69,187,224],"cuts,":[70],"extract":[72,262],"volumes":[74,213],"images.":[79],"our":[81,190,258],"method,":[82],"first":[85],"segmented":[86],"by":[87,101,106,121,181,215],"marker-controlled":[89],"algorithm.":[91],"Markers":[92],"for":[93],"algorithm":[96],"seed":[98,113],"points":[99,114],"generated":[100],"using":[102,223],"distance":[103],"transform,":[104],"followed":[105],"new":[108],"grouping":[109],"clusters":[112],"too":[117],"close.":[118],"Regions":[119],"obtained":[120,180,214],"transform":[123],"algorithms":[125],"considered":[127],"as":[128,167],"nodes":[129,139,159],"graph.":[132],"Edges":[133],"connect":[136],"between":[137,156],"adjacent":[141],"image":[142,164,231,243],"slices.":[143],"weight":[145],"each":[147],"edge":[148],"defined":[150],"overlapped":[154],"area":[155],"nodes.":[157],"User-selected":[158],"(regions)":[160],"initial":[163],"slice":[165],"serve":[166],"hard":[168],"constraints":[169],"minimization":[172,218],"process.":[173],"A":[174],"globally":[175],"optimal":[176],"volume":[178,199,206],"minimizing":[182],"MAP-MRF":[183,220],"energy":[184,221],"function":[185,222],"via":[186],"cuts.":[188],"application,":[191],"order":[193],"obtain":[195],"complete":[197],"structures":[200],"including":[201],"branching,":[202],"final":[204],"union":[209],"two":[211],"performing":[216],"cuts":[225],"forwards":[226],"backwards":[228],"through":[229],"stack.":[232],"Experiments":[233],"conducted":[235],"both":[236],"synthetic":[238],"data":[239],"sequences":[244],"Serial":[247],"Block":[248],"Face":[249],"Scanning":[250],"Electron":[251],"Microscope":[252],"(SBF-SEM).":[253],"results":[255],"show":[256],"can":[260],"successfully":[261],"volumes.":[264]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
