{"id":"https://openalex.org/W2097242766","doi":"https://doi.org/10.1109/icassp.2011.5947673","title":"Modeling anatomical heterogeneity in populations","display_name":"Modeling anatomical heterogeneity in populations","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2097242766","doi":"https://doi.org/10.1109/icassp.2011.5947673","mag":"2097242766"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5947673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5081763875","display_name":"Polina Golland","orcid":"https://orcid.org/0000-0003-2516-731X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Polina Golland","raw_affiliation_strings":["Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, MA, USA","Computer Science and Artificial Intelligence Lab, Massachusetts Institute                        of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute                        of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025877936","display_name":"Mert R. Sabuncu","orcid":"https://orcid.org/0000-0002-7068-719X"},"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"]},{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mert R. Sabuncu","raw_affiliation_strings":["Martinos Center for Biomedical Imaging, Harvard Medical School, MA, USA"],"affiliations":[{"raw_affiliation_string":"Martinos Center for Biomedical Imaging, Harvard Medical School, MA, USA","institution_ids":["https://openalex.org/I4210127055","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081763875"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72935342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"5776","last_page":"5779"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9384999871253967,"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/computer-science","display_name":"Computer science","score":0.7085791826248169},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6775215268135071},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6609524488449097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650710940361023},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6385619640350342},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5374249815940857},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5371469259262085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49523797631263733},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4885605275630951},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4334460198879242},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4303551912307739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7085791826248169},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6775215268135071},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6609524488449097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650710940361023},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6385619640350342},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5374249815940857},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5371469259262085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49523797631263733},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4885605275630951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4334460198879242},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4303551912307739},{"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5947673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":28,"referenced_works":["https://openalex.org/W1492949916","https://openalex.org/W1802062438","https://openalex.org/W1969803895","https://openalex.org/W1991952617","https://openalex.org/W1999345637","https://openalex.org/W2004293194","https://openalex.org/W2008444027","https://openalex.org/W2049633694","https://openalex.org/W2076114154","https://openalex.org/W2102214751","https://openalex.org/W2111677918","https://openalex.org/W2113576511","https://openalex.org/W2119848633","https://openalex.org/W2123197173","https://openalex.org/W2133086277","https://openalex.org/W2141796362","https://openalex.org/W2146980616","https://openalex.org/W2150534249","https://openalex.org/W2150601424","https://openalex.org/W2152326840","https://openalex.org/W2167393047","https://openalex.org/W2319937903","https://openalex.org/W2914749043","https://openalex.org/W3127623214","https://openalex.org/W4230920194","https://openalex.org/W4237451364","https://openalex.org/W4238720984","https://openalex.org/W6790756465"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Our":[0],"goal":[1],"is":[2,55,70],"to":[3,73],"model":[4,27],"anatomical":[5],"variability":[6],"across":[7],"individuals,":[8],"which":[9],"presents":[10],"substantial":[11],"challenges":[12],"in":[13,18,71,98],"clinical":[14,99],"population":[15,84],"studies":[16,100],"and":[17],"building":[19],"atlases":[20],"for":[21,28,83,95],"segmentation.":[22],"Based":[23],"on":[24],"a":[25,29,38,46,56,67,80],"mixture":[26],"population,":[30],"we":[31],"derive":[32],"an":[33],"efficient":[34],"algorithm":[35,54],"that":[36,62,78],"clusters":[37],"set":[39],"of":[40,52,59,66,92,101],"images":[41,61],"while":[42],"co-registering":[43],"them":[44],"into":[45],"common":[47],"coordinate":[48],"frame.":[49],"The":[50,86],"output":[51],"the":[53,90],"small":[57],"number":[58],"template":[60,82],"represent":[63],"different":[64],"modes":[65],"population.":[68],"This":[69],"contrast":[72],"traditional":[74],"computational":[75],"anatomy":[76],"methods":[77],"assume":[79],"single":[81],"modeling.":[85],"experimental":[87],"results":[88],"demonstrate":[89],"promise":[91],"our":[93],"approach":[94],"statistical":[96],"analysis":[97],"anatomy.":[102]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
