{"id":"https://openalex.org/W2156806123","doi":"https://doi.org/10.1109/isbi.2011.5872439","title":"3D segmentation of rodent brain structures using Active Volume Model with shape priors","display_name":"3D segmentation of rodent brain structures using Active Volume Model with shape priors","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2156806123","doi":"https://doi.org/10.1109/isbi.2011.5872439","mag":"2156806123"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872439","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/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068865316","display_name":"Junzhou Huang","orcid":"https://orcid.org/0000-0002-9548-1227"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junzhou Huang","raw_affiliation_strings":["CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005619868","display_name":"Mustafa G\u00f6khan Uzunba\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Uzunbas","raw_affiliation_strings":["CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047842458","display_name":"Tian Shen","orcid":"https://orcid.org/0000-0002-8754-7513"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Shen","raw_affiliation_strings":["Computer Science and Engineering Department, Lehigh University, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Lehigh University, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000586747","display_name":"Foteini Delis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Foteini Delis","raw_affiliation_strings":["Behavior Neuropharmacology and Neuroimaging Laboratory, Brockhaven National Laboratory, NY, USA"],"affiliations":[{"raw_affiliation_string":"Behavior Neuropharmacology and Neuroimaging Laboratory, Brockhaven National Laboratory, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000467703","display_name":"Xiaolei Huang","orcid":"https://orcid.org/0000-0003-2338-6535"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaolei Huang","raw_affiliation_strings":["Computer Science and Engineering Department, Lehigh University, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Lehigh University, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002969658","display_name":"Nora D. Volkow","orcid":"https://orcid.org/0000-0001-6668-0908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nora Volkow","raw_affiliation_strings":["Behavior Neuropharmacology and Neuroimaging Laboratory, Brockhaven National Laboratory, NY, USA"],"affiliations":[{"raw_affiliation_string":"Behavior Neuropharmacology and Neuroimaging Laboratory, Brockhaven National Laboratory, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112101927","display_name":"Panayotis K. Thanos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panayotis Thanos","raw_affiliation_strings":["Behavior Neuropharmacology and Neuroimaging Laboratory, Brockhaven National Laboratory, NY, USA"],"affiliations":[{"raw_affiliation_string":"Behavior Neuropharmacology and Neuroimaging Laboratory, Brockhaven National Laboratory, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109600054","display_name":"Dimitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris Metaxas","raw_affiliation_strings":["CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"CBIM, State University of New Jersey, Rutgers, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5066553616"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.7727,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76932314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"433","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9901000261306763,"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":0.9865000247955322,"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-shape-model","display_name":"Active shape model","score":0.8295831680297852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7869018316268921},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7858355045318604},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7268707752227783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218964099884033},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7149869203567505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.641735315322876},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.5911835432052612},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5366783738136292},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5273809432983398},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5216363072395325},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.44827577471733093},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.44737306237220764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18499141931533813}],"concepts":[{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.8295831680297852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7869018316268921},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7858355045318604},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7268707752227783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218964099884033},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7149869203567505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.641735315322876},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.5911835432052612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5366783738136292},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5273809432983398},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5216363072395325},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.44827577471733093},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.44737306237220764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18499141931533813},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872439","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W768093844","https://openalex.org/W1500518241","https://openalex.org/W2038952578","https://openalex.org/W2070201565","https://openalex.org/W2098152234","https://openalex.org/W2101689475","https://openalex.org/W2104095591","https://openalex.org/W2116087808","https://openalex.org/W2135634313","https://openalex.org/W2141587084","https://openalex.org/W2145803225","https://openalex.org/W2149184914","https://openalex.org/W2155343350","https://openalex.org/W2163815564","https://openalex.org/W2172803778","https://openalex.org/W6629709921","https://openalex.org/W6679815182","https://openalex.org/W6681134625","https://openalex.org/W6681640588"],"related_works":["https://openalex.org/W2115886240","https://openalex.org/W2501097992","https://openalex.org/W1990603712","https://openalex.org/W2250899144","https://openalex.org/W2063312490","https://openalex.org/W2072360209","https://openalex.org/W2368765189","https://openalex.org/W771549137","https://openalex.org/W2101489611","https://openalex.org/W2375550449"],"abstract_inverted_index":{"Object":[0],"boundary":[1],"extraction":[2],"is":[3,83],"an":[4,94],"important":[5],"task":[6],"in":[7],"brain":[8,17,130],"image":[9],"analysis.":[10],"Acquiring":[11],"detailed":[12],"3D":[13,42],"representations":[14],"of":[15,24,62,72,115,124,127],"the":[16,21,59,67,73,113,122,128,135,141],"structures":[18,126],"could":[19],"improve":[20],"detection":[22],"rate":[23],"diseases":[25],"at":[26],"earlier":[27],"stages.":[28],"Deformable":[29],"model":[30,64],"based":[31],"segmentation":[32,60,123],"methods":[33],"have":[34,118],"been":[35,119],"widely":[36],"used":[37],"with":[38,78],"considerable":[39],"success.":[40],"Recently,":[41],"Active":[43,99],"Volume":[44],"Model":[45,101],"(AVM)":[46],"was":[47],"proposed,":[48],"which":[49],"incorporates":[50],"both":[51],"gradient":[52],"and":[53,70,98,134],"region":[54],"information":[55,87,107],"for":[56,76],"robustness.":[57],"However,":[58],"performance":[61],"this":[63,90],"depends":[65],"on":[66,121],"position,":[68],"size":[69],"shape":[71,85,106],"initialization,":[74],"especially":[75],"data":[77,110],"complex":[79,125],"texture.":[80],"Furthermore,":[81],"there":[82],"no":[84],"prior":[86],"integrated.":[88],"In":[89],"paper,":[91],"we":[92],"present":[93],"approach":[95],"combining":[96],"AVM":[97],"Shape":[100],"(ASM).":[102],"Our":[103],"method":[104,137],"uses":[105],"from":[108,131],"training":[109],"to":[111],"constrain":[112],"deformation":[114],"AVM.":[116,143],"Experiments":[117],"made":[120],"rodent":[129],"MR":[132],"images,":[133],"proposed":[136],"performed":[138],"better":[139],"than":[140],"original":[142]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}