{"id":"https://openalex.org/W4387250436","doi":"https://doi.org/10.1109/tmi.2023.3321425","title":"Robust Deformable Image Registration Using Cycle-Consistent Implicit Representations","display_name":"Robust Deformable Image Registration Using Cycle-Consistent Implicit Representations","publication_year":2023,"publication_date":"2023-10-02","ids":{"openalex":"https://openalex.org/W4387250436","doi":"https://doi.org/10.1109/tmi.2023.3321425","pmid":"https://pubmed.ncbi.nlm.nih.gov/37782589"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3321425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3321425","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.amsterdamumc.nl/ws/files/152250749/Robust-deformable-image-registration-using-cycle-consistent-implicit-representations.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076157369","display_name":"Louis D. van Harten","orcid":"https://orcid.org/0000-0002-0943-2825"},"institutions":[{"id":"https://openalex.org/I4210151833","display_name":"Amsterdam University Medical Centers","ror":"https://ror.org/05grdyy37","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Louis D. van Harten","raw_affiliation_strings":["Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Amsterdam, AZ, The Netherlands","Informatics Institute, University of Amsterdam, Amsterdam, XH, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-0943-2825","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Amsterdam, AZ, The Netherlands","institution_ids":["https://openalex.org/I887064364","https://openalex.org/I4210151833"]},{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Amsterdam, XH, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022556537","display_name":"Jaap Stoker","orcid":"https://orcid.org/0000-0002-9822-3784"},"institutions":[{"id":"https://openalex.org/I4210151833","display_name":"Amsterdam University Medical Centers","ror":"https://ror.org/05grdyy37","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833"]},{"id":"https://openalex.org/I4387152927","display_name":"Cancer Center Amsterdam","ror":"https://ror.org/0286p1c86","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4387152927"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jaap Stoker","raw_affiliation_strings":["Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, AZ, The Netherlands","Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, AZ, The Netherlands","Cancer Center Amsterdam, Amsterdam, HV, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, AZ, The Netherlands","institution_ids":["https://openalex.org/I887064364","https://openalex.org/I4210151833"]},{"raw_affiliation_string":"Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, AZ, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"Cancer Center Amsterdam, Amsterdam, HV, The Netherlands","institution_ids":["https://openalex.org/I4387152927"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084070018","display_name":"Ivana I\u0161gum","orcid":"https://orcid.org/0000-0003-1869-5034"},"institutions":[{"id":"https://openalex.org/I4210151833","display_name":"Amsterdam University Medical Centers","ror":"https://ror.org/05grdyy37","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ivana I\u0161gum","raw_affiliation_strings":["Department of Biomedical Engineering and Physics and Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, AZ, The Netherlands","Informatics Institute, University of Amsterdam, Amsterdam, XH, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-1869-5034","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Physics and Department of Radiology and Nuclear Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, AZ, The Netherlands","institution_ids":["https://openalex.org/I887064364","https://openalex.org/I4210151833"]},{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, Amsterdam, XH, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7167,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96069506,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"43","issue":"2","first_page":"784","last_page":"793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994999766349792,"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/robustness","display_name":"Robustness (evolution)","score":0.7160604000091553},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.654427707195282},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.643994927406311},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.628167986869812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199747323989868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5818716287612915},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45238402485847473},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4473980665206909},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.44249510765075684},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.41569846868515015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4048658609390259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3477432429790497},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.343950480222702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2767191529273987},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08036914467811584}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7160604000091553},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.654427707195282},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.643994927406311},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.628167986869812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199747323989868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5818716287612915},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45238402485847473},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4473980665206909},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.44249510765075684},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.41569846868515015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4048658609390259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3477432429790497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.343950480222702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2767191529273987},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08036914467811584},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056973","descriptor_name":"Four-Dimensional Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056973","descriptor_name":"Four-Dimensional Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056973","descriptor_name":"Four-Dimensional Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056973","descriptor_name":"Four-Dimensional Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2023.3321425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3321425","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:37782589","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37782589","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":null},{"id":"pmh:oai:pure.amsterdamumc.nl:openaire/24009399-29e3-4408-825e-82472620ad55","is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/24009399-29e3-4408-825e-82472620ad55","pdf_url":"https://pure.amsterdamumc.nl/ws/files/152250749/Robust-deformable-image-registration-using-cycle-consistent-implicit-representations.pdf","source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"van Harten, L D, Stoker, J & Isgum, I 2023, 'Robust deformable image registration using cycle-consistent implicit representations', IEEE transactions on medical imaging, pp. 1. https://doi.org/10.1109/TMI.2023.3321425","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arXiv.org:2310.01934","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.01934","pdf_url":"https://arxiv.org/pdf/2310.01934","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:pure.amsterdamumc.nl:openaire/24009399-29e3-4408-825e-82472620ad55","is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/24009399-29e3-4408-825e-82472620ad55","pdf_url":"https://pure.amsterdamumc.nl/ws/files/152250749/Robust-deformable-image-registration-using-cycle-consistent-implicit-representations.pdf","source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"van Harten, L D, Stoker, J & Isgum, I 2023, 'Robust deformable image registration using cycle-consistent implicit representations', IEEE transactions on medical imaging, pp. 1. https://doi.org/10.1109/TMI.2023.3321425","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387250436.pdf","grobid_xml":"https://content.openalex.org/works/W4387250436.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1971404788","https://openalex.org/W2001666669","https://openalex.org/W2004537679","https://openalex.org/W2065319605","https://openalex.org/W2070040050","https://openalex.org/W2097125711","https://openalex.org/W2113576511","https://openalex.org/W2135293965","https://openalex.org/W2275225945","https://openalex.org/W2604993867","https://openalex.org/W2779553076","https://openalex.org/W2891590469","https://openalex.org/W2891631795","https://openalex.org/W2900440561","https://openalex.org/W2906295032","https://openalex.org/W2918257301","https://openalex.org/W2963627347","https://openalex.org/W2979923044","https://openalex.org/W3011050042","https://openalex.org/W3036843665","https://openalex.org/W3054666633","https://openalex.org/W3092203888","https://openalex.org/W3099561884","https://openalex.org/W3103199493","https://openalex.org/W3104164805","https://openalex.org/W3106258756","https://openalex.org/W3109585842","https://openalex.org/W3132346797","https://openalex.org/W3136762441","https://openalex.org/W3173512372","https://openalex.org/W3207933706","https://openalex.org/W4200150166","https://openalex.org/W4210882008","https://openalex.org/W4241752368","https://openalex.org/W4287756134","https://openalex.org/W4296193057","https://openalex.org/W4306914348","https://openalex.org/W6631190155","https://openalex.org/W6779753539","https://openalex.org/W6780179280","https://openalex.org/W6781421651","https://openalex.org/W7010623847"],"related_works":["https://openalex.org/W2168584693","https://openalex.org/W1982036645","https://openalex.org/W2519648241","https://openalex.org/W3082975905","https://openalex.org/W2784146774","https://openalex.org/W2004640125","https://openalex.org/W2118640186","https://openalex.org/W2027919853","https://openalex.org/W2171028602","https://openalex.org/W3037197017"],"abstract_inverted_index":{"Recent":[0],"works":[1],"in":[2,125,210,221],"medical":[3],"image":[4,32],"registration":[5,55,116,186,227,239],"have":[6],"proposed":[7,149,168,178,235],"the":[8,76,101,107,110,154,164,177,185,197,234],"use":[9],"of":[10,59,109,199],"Implicit":[11,61],"Neural":[12,62],"Representations,":[13],"demonstrating":[14],"performance":[15],"that":[16,39,74,130],"rivals":[17],"state-of-the-art":[18],"learning-based":[19],"methods.":[20],"However,":[21],"these":[22,200],"implicit":[23,65,72],"representations":[24],"need":[25],"to":[26,42,44,69,82,160,163,189,191,202],"be":[27,132],"optimized":[28,111],"for":[29,87,134],"each":[30,64,80],"new":[31],"pair,":[33],"which":[34],"is":[35,67],"a":[36,45,53,70,85,120,126,143,192,206,218,230],"stochastic":[37],"process":[38],"may":[40],"fail":[41],"converge":[43,190],"global":[46],"minimum.":[47],"To":[48],"improve":[49],"robustness,":[50],"we":[51,93],"propose":[52],"deformable":[54],"method":[56,141,152,170,187,216],"using":[57,119,205],"pairs":[58],"cycle-consistent":[60,150],"Representations:":[63],"representation":[66,73,122],"linked":[68],"second":[71],"estimates":[75,97],"opposite":[77],"transformation,":[78],"causing":[79],"network":[81],"act":[83],"as":[84],"regularizer":[86],"its":[88],"paired":[89,102],"opposite.":[90],"During":[91],"inference,":[92],"generate":[94],"multiple":[95],"deformation":[96],"by":[98,174],"numerically":[99],"inverting":[100],"backward":[103],"transformation":[104],"and":[105,123,176,228,238],"evaluating":[106],"consensus":[108,114],"pair.":[112],"This":[113],"improves":[115,171],"accuracy":[117,173],"over":[118],"single":[121],"results":[124,201],"robust":[127],"uncertainty":[128,179,236],"metric":[129,180,237],"can":[131],"used":[133],"automatic":[135],"quality":[136],"control.":[137],"We":[138,195],"evaluate":[139],"our":[140,215],"with":[142,225],"4D":[144,212],"lung":[145],"CT":[146],"dataset.":[147],"The":[148,167],"optimization":[151,155],"reduces":[153],"failure":[156],"rate":[157],"from":[158],"2.4%":[159],"0.0%":[161],"compared":[162,224],"current":[165],"state-of-the-art.":[166],"inference":[169],"landmark":[172],"4.5%":[175],"detects":[181],"all":[182],"instances":[183],"where":[184,214],"fails":[188],"correct":[193],"solution.":[194],"verify":[196],"generalizability":[198],"other":[203],"data":[204],"centerline":[207],"propagation":[208,222],"task":[209],"abdominal":[211],"MRI,":[213],"achieves":[217],"46%":[219],"improvement":[220],"consistency":[223],"single-INR":[226],"demonstrates":[229],"strong":[231],"correlation":[232],"between":[233],"accuracy.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
