{"id":"https://openalex.org/W3135946611","doi":"https://doi.org/10.1109/tmi.2021.3123252","title":"Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets","display_name":"Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3135946611","doi":"https://doi.org/10.1109/tmi.2021.3123252","mag":"3135946611","pmid":"https://pubmed.ncbi.nlm.nih.gov/34699353"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3123252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3123252","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9022638","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Laurent Chauvin","orcid":"https://orcid.org/0000-0002-3052-9787"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Laurent Chauvin","raw_affiliation_strings":["Ecole de Technologie Superieure, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3052-9787","affiliations":[{"raw_affiliation_string":"Ecole de Technologie Superieure, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kuldeep Kumar","orcid":"https://orcid.org/0000-0003-3313-135X"},"institutions":[{"id":"https://openalex.org/I2802351361","display_name":"Centre Hospitalier Universitaire Sainte-Justine","ror":"https://ror.org/01gv74p78","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2802351361"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kuldeep Kumar","raw_affiliation_strings":["CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3313-135X","affiliations":[{"raw_affiliation_string":"CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada","institution_ids":["https://openalex.org/I2802351361","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Christian Desrosiers","orcid":"https://orcid.org/0000-0002-9162-9650"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christian Desrosiers","raw_affiliation_strings":["Ecole de Technologie Superieure, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9162-9650","affiliations":[{"raw_affiliation_string":"Ecole de Technologie Superieure, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":null,"display_name":"William Wells","orcid":null},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Wells","raw_affiliation_strings":["Harvard Medical School, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":null,"display_name":"Matthew Toews","orcid":"https://orcid.org/0000-0002-7567-4283"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matthew Toews","raw_affiliation_strings":["Ecole de Technologie Superieure, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7567-4283","affiliations":[{"raw_affiliation_string":"Ecole de Technologie Superieure, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.2744,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50192639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"41","issue":"4","first_page":"836","last_page":"845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.25209999084472656,"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":0.25209999084472656,"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/T11094","display_name":"Face Recognition and Perception","score":0.16529999673366547,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.04610000178217888,"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/jaccard-index","display_name":"Jaccard index","score":0.899399995803833},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7063999772071838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.659600019454956},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.642300009727478},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.5325000286102295},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4586000144481659},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4259999990463257},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.39419999718666077}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.899399995803833},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7063999772071838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.659600019454956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6510000228881836},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.642300009727478},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5325000286102295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5094000101089478},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41620001196861267},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3240000009536743},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2890999913215637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2874999940395355},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2572999894618988},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.2531999945640564}],"mesh":[{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014430","descriptor_name":"Twins, Monozygotic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014430","descriptor_name":"Twins, Monozygotic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014430","descriptor_name":"Twins, Monozygotic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014430","descriptor_name":"Twins, Monozygotic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2021.3123252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3123252","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34699353","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34699353","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":"IEEE transactions on medical imaging","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9022638","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9022638","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},{"id":"pmh:oai:espace2.etsmtl.ca:23617","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/23617/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article publi\u00e9 dans une revue, r\u00e9vis\u00e9 par les pairs"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9022638","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9022638","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3848525072","display_name":null,"funder_award_id":"U54-MH091657","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G854044502","display_name":null,"funder_award_id":"P41 EB015902","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320321747","display_name":"Fonds Qu\u00e9b\u00e9cois de la Recherche sur la Nature et les Technologies","ror":"https://ror.org/00b9f9778"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1277488128","https://openalex.org/W1858448389","https://openalex.org/W1892538499","https://openalex.org/W1901447884","https://openalex.org/W1908634864","https://openalex.org/W1978352585","https://openalex.org/W1979931042","https://openalex.org/W1983208069","https://openalex.org/W2000781128","https://openalex.org/W2004919309","https://openalex.org/W2017436068","https://openalex.org/W2020519533","https://openalex.org/W2024729467","https://openalex.org/W2026265322","https://openalex.org/W2028394888","https://openalex.org/W2031457979","https://openalex.org/W2055906546","https://openalex.org/W2076245459","https://openalex.org/W2078524519","https://openalex.org/W2086320398","https://openalex.org/W2086504823","https://openalex.org/W2087912984","https://openalex.org/W2093065590","https://openalex.org/W2104549677","https://openalex.org/W2109200236","https://openalex.org/W2111902267","https://openalex.org/W2113280143","https://openalex.org/W2119756052","https://openalex.org/W2122111042","https://openalex.org/W2134782025","https://openalex.org/W2146980616","https://openalex.org/W2150534249","https://openalex.org/W2151103935","https://openalex.org/W2151697120","https://openalex.org/W2166742463","https://openalex.org/W2167663734","https://openalex.org/W2167679119","https://openalex.org/W2171012909","https://openalex.org/W2171251197","https://openalex.org/W2186402814","https://openalex.org/W2320444803","https://openalex.org/W2431983577","https://openalex.org/W2513886078","https://openalex.org/W2583298295","https://openalex.org/W2607363228","https://openalex.org/W2727983075","https://openalex.org/W2737094507","https://openalex.org/W2737349650","https://openalex.org/W2795809180","https://openalex.org/W2805445921","https://openalex.org/W2810635025","https://openalex.org/W2946059286","https://openalex.org/W2952191202","https://openalex.org/W2963748588","https://openalex.org/W2973990407","https://openalex.org/W3012166803","https://openalex.org/W3012447193","https://openalex.org/W3043075211","https://openalex.org/W3091976478","https://openalex.org/W3118160209","https://openalex.org/W3118868805","https://openalex.org/W3130235815","https://openalex.org/W4235770099","https://openalex.org/W6752208963","https://openalex.org/W6756444276","https://openalex.org/W6780053115"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"novel":[3],"pairwise":[4],"distance":[5,64,166],"measure":[6,20,65,167],"between":[7,32],"image":[8,17,194],"keypoint":[9,33,43,57,74,119],"sets,":[10],"for":[11,27,81,187],"the":[12,22,54,78,82,118,156],"purpose":[13],"of":[14,56,84,97,110,161,191],"large-scale":[15],"medical":[16,89],"indexing.":[18,75],"Our":[19,63,165],"generalizes":[21],"Jaccard":[23],"index":[24],"to":[25,52,172],"account":[26],"soft":[28],"set":[29,115,126],"equivalence":[30,116,127],"(SSE)":[31],"elements,":[34],"via":[35,73],"an":[36,180],"adaptive":[37],"kernel":[38,49,121],"framework":[39],"modeling":[40],"uncertainty":[41],"in":[42,59,133],"appearance":[44,130],"and":[45,61,102,106,117,129,143],"geometry.":[46],"A":[47],"new":[48],"is":[50,140,177,185],"proposed":[51],"quantify":[53],"variability":[55],"geometry":[58,120],"location":[60],"scale.":[62],"may":[66],"be":[67,170],"estimated":[68],"between${O}\\,{(}{N}^{{\\,{2}}}{)}$image":[69],"pairs":[70],"in${O}\\,{(}{N}\\,\\text":[71],"{log}{N}\\,{)}$operations":[72],"Experiments":[76],"report":[77],"first":[79,157],"results":[80],"task":[83],"predicting":[85,134],"family":[86,135,163],"relationships":[87],"from":[88],"images,":[90],"using":[91],"1010":[92],"T1-weighted":[93],"MRI":[94],"brain":[95],"volumes":[96],"434":[98],"families":[99],"including":[100],"monozygotic":[101],"dizygotic":[103],"twins,":[104],"siblings":[105],"half-siblings":[107],"sharing":[108],"100%-25%":[109],"their":[111,153],"polymorphic":[112],"genes.":[113],"Soft":[114],"improve":[122],"upon":[123],"standard":[124],"hard":[125],"(HSE)":[128],"kernels":[131],"alone":[132],"relationships.":[136],"Monozygotic":[137],"twin":[138],"identification":[139],"near":[141],"100%,":[142],"three":[144],"subjects":[145],"with":[146,152,179],"uncertain":[147],"genotyping":[148],"are":[149],"automatically":[150],"paired":[151],"self-reported":[154],"families,":[155],"reported":[158],"practical":[159],"application":[160],"image-based":[162],"identification.":[164],"can":[168],"also":[169],"used":[171],"predict":[173],"group":[174],"categories,":[175],"sex":[176],"predicted":[178],"AUC":[181],"=":[182],"0.97.":[183],"Software":[184],"provided":[186],"efficient":[188],"fine-grained":[189],"curation":[190],"large,":[192],"generic":[193],"datasets.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2021-03-29T00:00:00"}
