{"id":"https://openalex.org/W4367047730","doi":"https://doi.org/10.1109/jbhi.2023.3270199","title":"Geometry-Consistent Adversarial Registration Model for Unsupervised Multi-Modal Medical Image Registration","display_name":"Geometry-Consistent Adversarial Registration Model for Unsupervised Multi-Modal Medical Image Registration","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367047730","doi":"https://doi.org/10.1109/jbhi.2023.3270199","pmid":"https://pubmed.ncbi.nlm.nih.gov/37099474"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3270199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3270199","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","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/A5100720188","display_name":"Yanxia Liu","orcid":"https://orcid.org/0000-0002-5113-037X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxia Liu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5113-037X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759569","display_name":"Wenqi Wang","orcid":"https://orcid.org/0009-0000-3283-8666"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Wang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-3283-8666","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341175","display_name":"Yuhong Li","orcid":"https://orcid.org/0009-0002-2866-774X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhong Li","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-2866-774X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063581964","display_name":"Haoyu Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Lai","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085089121","display_name":"Sijuan Huang","orcid":"https://orcid.org/0000-0002-9112-5321"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijuan Huang","raw_affiliation_strings":["Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9112-5321","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020871102","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0001-7864-8518"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210146711","display_name":"Sun Yat-sen University Cancer Center","ror":"https://ror.org/0400g8r85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210146711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7864-8518","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210146711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6163,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9457717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"27","issue":"7","first_page":"3455","last_page":"3466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7855539917945862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700420618057251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7194692492485046},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6563141345977783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5830267071723938},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5825420618057251},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5417225360870361},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5392844080924988},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5072492957115173},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.45989352464675903},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45592784881591797},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4523417353630066},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42383551597595215},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.41799283027648926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38730260729789734}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7855539917945862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700420618057251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7194692492485046},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6563141345977783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5830267071723938},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5825420618057251},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5417225360870361},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5392844080924988},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5072492957115173},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.45989352464675903},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45592784881591797},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4523417353630066},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42383551597595215},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.41799283027648926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38730260729789734},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3270199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3270199","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37099474","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37099474","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1877776472","display_name":null,"funder_award_id":"82272617","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3544255529","display_name":null,"funder_award_id":"2021A1515220140","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1970928383","https://openalex.org/W1977125063","https://openalex.org/W1983592655","https://openalex.org/W1987869189","https://openalex.org/W2007153649","https://openalex.org/W2023398872","https://openalex.org/W2034432063","https://openalex.org/W2113576511","https://openalex.org/W2115702840","https://openalex.org/W2125389028","https://openalex.org/W2136145485","https://openalex.org/W2157633536","https://openalex.org/W2158167845","https://openalex.org/W2373504668","https://openalex.org/W2412782625","https://openalex.org/W2593414223","https://openalex.org/W2608353599","https://openalex.org/W2608822622","https://openalex.org/W2752246523","https://openalex.org/W2767463438","https://openalex.org/W2787740020","https://openalex.org/W2798741430","https://openalex.org/W2803832867","https://openalex.org/W2806695658","https://openalex.org/W2808034017","https://openalex.org/W2890858414","https://openalex.org/W2891631795","https://openalex.org/W2903950353","https://openalex.org/W2958150439","https://openalex.org/W2963720324","https://openalex.org/W2963971125","https://openalex.org/W2971293396","https://openalex.org/W2979341335","https://openalex.org/W2979923044","https://openalex.org/W2979954794","https://openalex.org/W2980221077","https://openalex.org/W2981865522","https://openalex.org/W2983973087","https://openalex.org/W3008171338","https://openalex.org/W3035201239","https://openalex.org/W3041450691","https://openalex.org/W3045889720","https://openalex.org/W3092212736","https://openalex.org/W3092446792","https://openalex.org/W3096224372","https://openalex.org/W3098269293","https://openalex.org/W3099933016","https://openalex.org/W3136762441","https://openalex.org/W3156621598","https://openalex.org/W3166012180","https://openalex.org/W3181439599","https://openalex.org/W3202591199","https://openalex.org/W4206996524","https://openalex.org/W4242623661","https://openalex.org/W4295312788","https://openalex.org/W4320013936","https://openalex.org/W4403553356","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6743859884","https://openalex.org/W6752051073","https://openalex.org/W6762885054","https://openalex.org/W6766978945","https://openalex.org/W6774786923","https://openalex.org/W6780115461","https://openalex.org/W6780147506","https://openalex.org/W6794262402","https://openalex.org/W6796014550","https://openalex.org/W6966651814"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2379407973","https://openalex.org/W4243305035","https://openalex.org/W2079488604","https://openalex.org/W2471562626","https://openalex.org/W2295804706"],"abstract_inverted_index":{"Deformable":[0],"multi-modal":[1,36,53,59,73,98,185],"medical":[2,111],"image":[3,37,112],"registration":[4,28,38,60,100,179,191],"aligns":[5],"the":[6,13,23,34,50,58,65,69,82,90,110,126,133,149,163,168,200,212,215],"anatomical":[7],"structures":[8],"of":[9,25,52,68,84,105,184,214],"different":[10,85],"modalities":[11],"to":[12,22,44,48,64,78,108,116,124,130,142,147,161,166,197],"same":[14,70],"coordinate":[15],"system":[16],"through":[17],"a":[18,95,157,175],"spatial":[19,153],"transformation.":[20],"Due":[21],"difficulties":[24],"collecting":[26],"ground-truth":[27],"labels,":[29],"existing":[30,219],"methods":[31],"often":[32],"adopt":[33],"unsupervised":[35,97],"setting.":[39],"However,":[40],"it":[41,75],"is":[42,76],"hard":[43],"design":[45],"satisfactory":[46],"metrics":[47,129],"measure":[49],"similarity":[51],"images,":[54,74],"which":[55],"heavily":[56],"limits":[57],"performance.":[61],"Moreover,":[62],"due":[63],"contrast":[66],"difference":[67],"organ":[71],"in":[72,193,227],"difficult":[77],"extract":[79],"and":[80,188,208],"fuse":[81],"representations":[83],"modal":[86],"images.":[87],"To":[88],"address":[89],"above":[91],"issues,":[92],"we":[93,121,138,155,173],"propose":[94,139,156,174],"novel":[96,176],"adversarial":[99],"framework":[101,223],"that":[102,181],"takes":[103],"advantage":[104],"image-to-image":[106],"translation":[107,150,164],"translate":[109],"from":[113],"one":[114],"modality":[115,169],"another.":[117],"In":[118],"this":[119],"way,":[120],"are":[122],"able":[123],"use":[125],"well-defined":[127],"uni-modal":[128],"better":[131],"train":[132],"models.":[134],"Inside":[135],"our":[136,222],"framework,":[137],"two":[140],"improvements":[141],"promote":[143],"accurate":[144],"registration.":[145],"First,":[146],"avoid":[148],"network":[151,165,180],"learning":[152],"deformation,":[154],"geometry-consistent":[158],"training":[159],"scheme":[160],"encourage":[162],"learn":[167],"mapping":[170],"solely.":[171],"Second,":[172],"semi-shared":[177],"multi-scale":[178,190],"extracts":[182],"features":[183],"images":[186],"effectively":[187],"predicts":[189],"fields":[192],"an":[194],"coarse-to-fine":[195],"manner":[196],"accurately":[198],"register":[199],"large":[201],"deformation":[202],"area.":[203],"Extensive":[204],"experiments":[205],"on":[206],"brain":[207],"pelvic":[209],"datasets":[210],"demonstrate":[211],"superiority":[213],"proposed":[216],"method":[217],"over":[218],"methods,":[220],"revealing":[221],"has":[224],"great":[225],"potential":[226],"clinical":[228],"application.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
