{"id":"https://openalex.org/W2027029173","doi":"https://doi.org/10.1109/cvpr.2011.5995620","title":"Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction","display_name":"Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2027029173","doi":"https://doi.org/10.1109/cvpr.2011.5995620","mag":"2027029173"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5100445363","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-3151-0778"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, USA","Rensselaer Polytechnic Institute, Troy, NY, 12180, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065263704","display_name":"Arunachalam Narayanaswamy","orcid":"https://orcid.org/0000-0002-0775-4070"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arunachalam Narayanaswamy","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, USA","Rensselaer Polytechnic Institute, Troy, NY, 12180, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, 12180, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090480130","display_name":"Badrinath Roysam","orcid":"https://orcid.org/0000-0002-8310-1389"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Badrinath Roysam","raw_affiliation_strings":["University of Houston, Houston, TX, USA","University of Houston, Houston, TX 77204, USA"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"University of Houston, Houston, TX 77204, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100445363"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":1.8641,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.84658032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1105","last_page":"1112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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":0.9941999912261963,"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/active-contour-model","display_name":"Active contour model","score":0.7342713475227356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6445397734642029},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.6078413724899292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.568055272102356},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5599899291992188},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5496023893356323},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.5236582159996033},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47051113843917847},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4402328431606293},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.4309982359409332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36047300696372986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33560895919799805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2737990617752075}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.7342713475227356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6445397734642029},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6078413724899292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.568055272102356},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5599899291992188},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5496023893356323},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.5236582159996033},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47051113843917847},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4402328431606293},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.4309982359409332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36047300696372986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33560895919799805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2737990617752075},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2011.5995620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W172329919","https://openalex.org/W1569930776","https://openalex.org/W1999244633","https://openalex.org/W2001658278","https://openalex.org/W2005476680","https://openalex.org/W2036901575","https://openalex.org/W2053704196","https://openalex.org/W2083245381","https://openalex.org/W2098408658","https://openalex.org/W2104095591","https://openalex.org/W2116040950","https://openalex.org/W2119916735","https://openalex.org/W2129534965","https://openalex.org/W2134756983","https://openalex.org/W2144707317","https://openalex.org/W2145803225","https://openalex.org/W2161457923","https://openalex.org/W2167685945","https://openalex.org/W2171036183","https://openalex.org/W6677856628","https://openalex.org/W6679367408"],"related_works":["https://openalex.org/W1972096828","https://openalex.org/W2529137940","https://openalex.org/W4302048708","https://openalex.org/W2359913921","https://openalex.org/W1595194509","https://openalex.org/W4239740410","https://openalex.org/W1996195943","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W4388208420"],"abstract_inverted_index":{"We":[0,126],"present":[1],"novel":[2,42],"approaches":[3],"for":[4,25,113,118],"fully":[5],"automated":[6],"extraction":[7],"of":[8,55,130],"tree-like":[9],"tubular":[10,77],"structures":[11,78],"from":[12,65],"3-D":[13,27],"image":[14,35],"stacks.":[15],"A":[16,84],"4-D":[17,60],"Open-Curve":[18],"Active":[19],"Contour":[20],"(Snake)":[21],"model":[22],"is":[23,89,123],"proposed":[24,90],"simultaneous":[26],"centerline":[28],"tracing":[29],"and":[30,40,74,81],"local":[31],"radius":[32],"estimation.":[33],"An":[34],"energy":[36,45,49,56],"term,":[37,39],"stretching":[38],"a":[41,114],"region-based":[43],"radial":[44],"term":[46],"constitute":[47],"the":[48,59,76,99,106,110,120,128],"to":[50,71,91],"be":[51],"minimized.":[52],"This":[53],"combination":[54],"terms":[57],"allows":[58],"open-curve":[61],"snake":[62],"model,":[63],"starting":[64,111],"an":[66],"automatically":[67,124],"detected":[68],"seed":[69],"point,":[70],"stretch":[72],"along":[73],"fit":[75],"like":[79],"neurites":[80],"blood":[82],"vessels.":[83],"graph-based":[85],"curve":[86],"completion":[87],"approach":[88],"merge":[92],"possible":[93],"fragments":[94],"caused":[95],"by":[96],"discontinuities":[97],"in":[98],"tree":[100,103],"structures.":[101],"After":[102],"structure":[104],"extraction,":[105],"centerlines":[107],"serve":[108],"as":[109],"points":[112],"Fast":[115],"Marching":[116],"segmentation":[117],"which":[119],"stopping":[121],"time":[122],"chosen.":[125],"illustrate":[127],"performance":[129],"our":[131],"method":[132],"with":[133],"various":[134],"datasets.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
