{"id":"https://openalex.org/W4401750369","doi":"https://doi.org/10.1109/isbi56570.2024.10635754","title":"Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks","display_name":"Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401750369","doi":"https://doi.org/10.1109/isbi56570.2024.10635754"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5113414635","display_name":"Kaibo Tang","orcid":"https://orcid.org/0000-0002-9957-4463"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kaibo Tang","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059675437","display_name":"Liangjun Chen","orcid":"https://orcid.org/0000-0001-6678-7617"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangjun Chen","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070300188","display_name":"Zhengwang Wu","orcid":"https://orcid.org/0000-0003-4436-9005"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengwang Wu","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004823733","display_name":"Fenqiang Zhao","orcid":"https://orcid.org/0000-0002-8853-5282"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fenqiang Zhao","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341470","display_name":"Ya Wang","orcid":"https://orcid.org/0000-0003-4353-4638"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ya Wang","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004107964","display_name":"Weili Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weili Lin","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335850","display_name":"Li Wang","orcid":"https://orcid.org/0000-0001-7415-5599"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438769","display_name":"Gang Li","orcid":"https://orcid.org/0000-0003-1583-641X"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,NC,USA,27599","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5113414635"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":1.3158,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81566229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.996999979019165,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.996999979019165,"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":0.988099992275238,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9873999953269958,"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/computer-science","display_name":"Computer science","score":0.6878306865692139},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6847700476646423},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6391428112983704},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6112852096557617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6039655804634094},{"id":"https://openalex.org/keywords/brain-anatomy","display_name":"Brain anatomy","score":0.5092043280601501},{"id":"https://openalex.org/keywords/brain-tissue","display_name":"Brain tissue","score":0.5058214664459229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3744566738605499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3526305556297302},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.3056052625179291},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.24191150069236755},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14554381370544434},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.12049892544746399},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11882442235946655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878306865692139},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6847700476646423},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6391428112983704},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6112852096557617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6039655804634094},{"id":"https://openalex.org/C2988762625","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Brain anatomy","level":3,"score":0.5092043280601501},{"id":"https://openalex.org/C2986936838","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Brain tissue","level":2,"score":0.5058214664459229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3744566738605499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3526305556297302},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.3056052625179291},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.24191150069236755},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14554381370544434},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.12049892544746399},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11882442235946655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1901129140","https://openalex.org/W1967251218","https://openalex.org/W2103578331","https://openalex.org/W2155298532","https://openalex.org/W2593414223","https://openalex.org/W2760103357","https://openalex.org/W2793631099","https://openalex.org/W2795942562","https://openalex.org/W2922479016","https://openalex.org/W2963073614","https://openalex.org/W2965946035","https://openalex.org/W3161718667","https://openalex.org/W3206021493","https://openalex.org/W3207753116","https://openalex.org/W4221045987","https://openalex.org/W4283698495","https://openalex.org/W4323039836","https://openalex.org/W6618372016","https://openalex.org/W6766813037"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501","https://openalex.org/W2736186319"],"abstract_inverted_index":{"Brain":[0],"development":[1],"during":[2,72],"infancy":[3],"is":[4,163],"complex":[5],"and":[6,59,69,111,139],"dynamic,":[7],"making":[8],"it":[9],"crucial":[10],"yet":[11],"challenging":[12],"to":[13,35,83,132,155,165,185,204],"generate":[14,45],"longitudinal":[15],"4D":[16,104,168,193,205],"atlases":[17,149,172,194,206],"with":[18,51,116,199],"densely":[19],"sampled":[20],"time":[21],"points":[22],"that":[23,108,145,191],"accurately":[24],"reflect":[25],"early":[26],"developmental":[27],"patterns.":[28],"Accordingly,":[29],"learning-based":[30],"methods":[31,42],"have":[32],"been":[33],"proposed":[34,161],"build":[36],"longitudinally":[37],"continuous":[38,103],"atlases.":[39],"However,":[40],"these":[41],"do":[43],"not":[44],"tissue":[46],"segmentation":[47,58],"maps":[48],"(TSMs)":[49],"along":[50],"atlases,":[52],"which":[53,66,85],"are":[54],"critical":[55],"in":[56,128,150],"atlas-guided":[57],"spatial":[60],"normalization.":[61],"In":[62],"addition,":[63],"intensity":[64,137],"images,":[65],"exhibit":[67],"low":[68],"dynamic":[70],"contrast":[71],"infancy,":[73],"provide":[74,86],"little":[75],"guidance":[76],"on":[77,89,123,174],"generating":[78],"anatomically":[79,112,134,196],"realistic":[80,113,136],"features":[81,198],"compared":[82,203],"TSMs,":[84],"explicit":[87],"information":[88,127],"the":[90,129,147,151,156],"relative":[91],"position":[92],"of":[93],"different":[94],"brain":[95,170,177],"tissues.":[96],"To":[97],"this":[98],"end,":[99],"we":[100],"propose":[101],"a":[102],"atlas":[105,153],"learning":[106],"framework":[107,162],"constructs":[109],"sharp":[110],"templates":[114],"equipped":[115],"accurate":[117],"TSMs.":[118],"Specifically,":[119],"our":[120,192],"work":[121],"focuses":[122],"(1)":[124],"exploiting":[125],"structural":[126,201],"available":[130],"TSMs":[131],"encourage":[133],"more":[135],"templates,":[138],"(2)":[140],"incorporating":[141],"an":[142],"affine":[143],"network":[144],"re-scales":[146],"generated":[148,207],"same":[152],"space":[154],"corresponding":[157],"age-specific":[158],"spaces.":[159],"The":[160],"employed":[164],"construct":[166],"high-fidelity":[167],"infant":[169,176],"volumetric":[171],"based":[173],"699":[175],"MRI":[178],"scans":[179],"from":[180,183],"322":[181],"subjects":[182],"birth":[184],"73":[186],"months.":[187],"Experimental":[188],"results":[189],"show":[190],"contain":[195],"meaningful":[197],"sharper":[200],"details,":[202],"by":[208],"other":[209],"methods.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
