{"id":"https://openalex.org/W4386362634","doi":"https://doi.org/10.1109/isbi53787.2023.10230423","title":"Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images","display_name":"Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362634","doi":"https://doi.org/10.1109/isbi53787.2023.10230423","pmid":"https://pubmed.ncbi.nlm.nih.gov/40337452"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-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/12058216","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043323603","display_name":"Laifa Ma","orcid":"https://orcid.org/0000-0001-6438-7812"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"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":["CN","US"],"is_corresponding":true,"raw_author_name":"Laifa Ma","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101806571","display_name":"Liangjun Chen","orcid":"https://orcid.org/0000-0003-2164-8968"},"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,Chapel Hill,USA","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","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,Chapel Hill,USA","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","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,Chapel Hill,USA","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336197","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-2165-0080"},"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,Chapel Hill,USA","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006302877","display_name":"Weili Lin","orcid":"https://orcid.org/0000-0002-2900-8204"},"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,Chapel Hill,USA","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420152","display_name":"He Zhang","orcid":"https://orcid.org/0000-0003-3782-1411"},"institutions":[{"id":"https://openalex.org/I4210146205","display_name":"Obstetrics and Gynecology Hospital of Fudan University","ror":"https://ror.org/04rhdtb47","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146205"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhang","raw_affiliation_strings":["Fudan University,Department of Radiology, Obstetrics and Gynecology Hospital,Shanghai,China","Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Department of Radiology, Obstetrics and Gynecology Hospital,Shanghai,China","institution_ids":["https://openalex.org/I4210146205"]},{"raw_affiliation_string":"Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210146205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438653","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-9585-1382"},"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,Chapel Hill,USA","Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,Department of Radiology and BRIC,Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5043323603"],"corresponding_institution_ids":["https://openalex.org/I114027177","https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":1.7007,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8603837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9959999918937683,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6960763335227966},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6647628545761108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.646517276763916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6256458759307861},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5489620566368103},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5050151944160461},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.43632274866104126},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.4325111210346222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3423217833042145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3219992518424988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2254852056503296},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10370269417762756}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6960763335227966},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6647628545761108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.646517276763916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6256458759307861},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5489620566368103},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5050151944160461},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.43632274866104126},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.4325111210346222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3423217833042145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3219992518424988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2254852056503296},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10370269417762756},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:40337452","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40337452","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":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:12058216","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12058216","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":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:12058216","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12058216","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":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2038223229","https://openalex.org/W2085681975","https://openalex.org/W2135264048","https://openalex.org/W2156875969","https://openalex.org/W2194775991","https://openalex.org/W2600904149","https://openalex.org/W2790122192","https://openalex.org/W2899771611","https://openalex.org/W2902949230","https://openalex.org/W2946514776","https://openalex.org/W2963542386","https://openalex.org/W2975527920","https://openalex.org/W2989249732","https://openalex.org/W2999546184","https://openalex.org/W3091013920","https://openalex.org/W3091443167","https://openalex.org/W3098896577","https://openalex.org/W3206021493","https://openalex.org/W4283382342","https://openalex.org/W6756040250","https://openalex.org/W6839134407"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2053820737","https://openalex.org/W2120943489","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2130582613","https://openalex.org/W2020088946","https://openalex.org/W2010111660","https://openalex.org/W2026674073","https://openalex.org/W2157486817"],"abstract_inverted_index":{"Robust":[0],"motion":[1,43,59,65,72,81,110,156,168],"correction":[2,157],"of":[3,24,44,56,122,187,195],"fetal":[4,45,144,167,188],"brain":[5,12,46,145,189],"MRI":[6,47],"slices":[7,48],"is":[8,35,75,87,116],"crucial":[9],"for":[10,108,151],"3D":[11],"volume":[13],"reconstruction.":[14],"However,":[15],"conventional":[16],"methods":[17],"can":[18,131],"only":[19],"handle":[20],"a":[21,27,50,57,63,90,113,141,154,161,184],"limited":[22],"range":[23],"motion.":[25],"Hence,":[26],"deep":[28],"learning":[29],"model":[30,101],"based":[31],"on":[32,183],"geometric":[33,91],"constraints":[34],"proposed":[36,129],"in":[37,49],"order":[38],"to":[39,77,102,118,139,165],"predict":[40],"the":[41,70,79,100,120,128,192],"arbitrary":[42],"standard":[51],"anatomical":[52],"space,":[53],"which":[54,86],"consists":[55],"global":[58,109],"estimation":[60,66,73],"network":[61,74],"and":[62,112,135,176],"relative":[64,71,80],"network.":[67],"In":[68],"particular,":[69],"used":[76],"estimate":[78,132],"between":[82,96,174],"two":[83,97,123],"adjacent":[84],"slices,":[85],"exploited":[88],"as":[89],"constraint.":[92],"Then,":[93],"sharing":[94],"features":[95],"networks":[98],"make":[99],"learn":[103],"more":[104,133],"unique":[105],"feature":[106],"representations":[107],"correction,":[111],"weight-learnable":[114],"strategy":[115],"employed":[117],"balance":[119],"contributions":[121],"networks.":[124],"With":[125],"this":[126],"design,":[127],"method":[130,164],"complicated":[134],"large":[136,142,185],"motions.":[137],"Moreover,":[138],"build":[140],"simulated":[143],"stack":[146],"dataset":[147],"with":[148],"realistic":[149],"appearance":[150],"successfully":[152],"training":[153],"robust":[155],"model,":[158],"we":[159],"introduced":[160],"control":[162],"point-based":[163],"simulate":[166],"trajectories":[169],"at":[170],"different":[171],"gestational":[172],"ages,":[173],"stacks":[175,190],"within":[177],"2D":[178],"slices.":[179],"The":[180],"experimental":[181],"results":[182],"number":[186],"demonstrate":[191],"state-of-the-art":[193],"performance":[194],"our":[196],"method.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
