{"id":"https://openalex.org/W1970545387","doi":"https://doi.org/10.1109/iembs.2011.6091965","title":"Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference","display_name":"Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W1970545387","doi":"https://doi.org/10.1109/iembs.2011.6091965","mag":"1970545387","pmid":"https://pubmed.ncbi.nlm.nih.gov/22256189"},"language":"en","primary_location":{"id":"doi:10.1109/iembs.2011.6091965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6091965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5109909836","display_name":"Yong Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I2799732068","display_name":"Royal Prince Alfred Hospital","ror":"https://ror.org/05gpvde20","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I2799732068"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yong Xia","raw_affiliation_strings":["BMIT Research Group, School of Information Technologies, The University of Sydney, Australia. yong.xia@sydney.edu.au","BMI Research Group, School of Information Technologies,, University of Sydney, Australia","Royal Prince Alfred Hospital, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMIT Research Group, School of Information Technologies, The University of Sydney, Australia. yong.xia@sydney.edu.au","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"BMI Research Group, School of Information Technologies,, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Royal Prince Alfred Hospital, Sydney, Australia","institution_ids":["https://openalex.org/I2799732068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731520","display_name":"Jiabin Wang","orcid":"https://orcid.org/0000-0001-7879-0784"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiabin Wang","raw_affiliation_strings":["BMI Research Group, School of Information Technologies,, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMI Research Group, School of Information Technologies,, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033497816","display_name":"Stefan Eberl","orcid":"https://orcid.org/0000-0001-6069-7530"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"S. Eberl","raw_affiliation_strings":["BMI Research Group, School of Information Technologies,, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMI Research Group, School of Information Technologies,, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082979981","display_name":"Michael Fulham","orcid":"https://orcid.org/0000-0003-0602-6319"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"M. Fulham","raw_affiliation_strings":["The University of Sydney, Sydney, NSW, AU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, NSW, AU","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["AU","CN","HK"],"is_corresponding":false,"raw_author_name":"D. D. Feng","raw_affiliation_strings":["BMI Research Group, School of Information Technologies,, University of Sydney, Australia","Center of Multimedia Signal Processing (CMSP), Department of Electronic & Information Engineering, Hong Kong, Polytechnic University, Hong Kong, China","Med-X Research Institute, Shanghai JiaoTong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMI Research Group, School of Information Technologies,, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Center of Multimedia Signal Processing (CMSP), Department of Electronic & Information Engineering, Hong Kong, Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Med-X Research Institute, Shanghai JiaoTong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9511,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74788809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2011","issue":null,"first_page":"7969","last_page":"7972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7758616209030151},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7335246801376343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563146114349365},{"id":"https://openalex.org/keywords/statistical-parametric-mapping","display_name":"Statistical parametric mapping","score":0.6471521258354187},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6185673475265503},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5978958606719971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5802876949310303},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5468282103538513},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.47847840189933777},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.46196597814559937},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.451647013425827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4420171082019806},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4417990744113922},{"id":"https://openalex.org/keywords/brain-atlas","display_name":"Brain atlas","score":0.4277818500995636},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4232354760169983},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.41915541887283325},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.41863423585891724},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3512495756149292},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2222031056880951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20327118039131165},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1597924828529358},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13214650750160217},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08654046058654785},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07142612338066101}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7758616209030151},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7335246801376343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563146114349365},{"id":"https://openalex.org/C39313694","wikidata":"https://www.wikidata.org/wiki/Q2940624","display_name":"Statistical parametric mapping","level":3,"score":0.6471521258354187},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6185673475265503},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5978958606719971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5802876949310303},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5468282103538513},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.47847840189933777},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.46196597814559937},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.451647013425827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4420171082019806},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4417990744113922},{"id":"https://openalex.org/C2780972224","wikidata":"https://www.wikidata.org/wiki/Q17047956","display_name":"Brain atlas","level":2,"score":0.4277818500995636},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4232354760169983},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.41915541887283325},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.41863423585891724},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3512495756149292},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2222031056880951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20327118039131165},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1597924828529358},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13214650750160217},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08654046058654785},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07142612338066101},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/iembs.2011.6091965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6091965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:22256189","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22256189","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/22402","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/22402","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1510519035","https://openalex.org/W1663973292","https://openalex.org/W1983989471","https://openalex.org/W2043337697","https://openalex.org/W2064439299","https://openalex.org/W2095043171","https://openalex.org/W2122362886","https://openalex.org/W2132513126","https://openalex.org/W2137847018","https://openalex.org/W2138237265","https://openalex.org/W2144803285","https://openalex.org/W2147569799","https://openalex.org/W2148339592","https://openalex.org/W2152631583","https://openalex.org/W2161557710","https://openalex.org/W2544444087","https://openalex.org/W4230920194","https://openalex.org/W6682708761"],"related_works":["https://openalex.org/W2350420209","https://openalex.org/W2023983729","https://openalex.org/W2166344619","https://openalex.org/W2372540868","https://openalex.org/W398153419","https://openalex.org/W3117697021","https://openalex.org/W1514609475","https://openalex.org/W2138696501","https://openalex.org/W2395480392","https://openalex.org/W2267932547"],"abstract_inverted_index":{"PET-CT":[0,67,127],"provides":[1],"aligned":[2],"anatomical":[3,41],"(CT)":[4],"and":[5,13,61,82,106],"functional":[6],"(PET)":[7],"images":[8],"in":[9,25,65,100,112],"a":[10,33],"single":[11],"scan,":[12],"has":[14],"the":[15,39,49,96,101,123],"potential":[16],"to":[17,53,79,88,95],"improve":[18,27],"brain":[19,46,66,126],"PET":[20],"image":[21,128],"segmentation,":[22],"which":[23],"can":[24],"turn":[26],"quantitative":[28],"clinical":[29,114],"analyses.":[30],"We":[31,91],"propose":[32],"statistical":[34,107],"segmentation":[35,97,104],"algorithm":[36,94,121],"that":[37,119],"incorporates":[38],"prior":[40,84],"knowledge":[42],"represented":[43],"by":[44,76],"probabilistic":[45],"atlas":[47],"into":[48],"variational":[50],"Bayes":[51],"inference":[52],"delineate":[54],"gray":[55],"matter":[56,59],"(GM),":[57],"white":[58],"(WM)":[60],"cerebrospinal":[62],"fluid":[63],"(CSF)":[64],"images.":[68],"Our":[69],"approach":[70],"adds":[71],"an":[72],"additional":[73],"novel":[74],"aspect":[75],"allowing":[77],"voxels":[78],"have":[80],"variable":[81],"adaptive":[83],"probabilities":[85],"of":[86,125],"belonging":[87],"each":[89],"class.":[90],"compared":[92],"our":[93,120],"approaches":[98],"implemented":[99],"expectation":[102],"maximization":[103],"(EMS)":[105],"parametric":[108],"mapping":[109],"(SPM8)":[110],"packages":[111],"26":[113],"cases.":[115],"The":[116],"results":[117],"show":[118],"improves":[122],"accuracy":[124],"segmentation.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}