{"id":"https://openalex.org/W2078854400","doi":"https://doi.org/10.1109/tmi.2012.2223710","title":"Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching","display_name":"Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching","publication_year":2012,"publication_date":"2012-10-11","ids":{"openalex":"https://openalex.org/W2078854400","doi":"https://doi.org/10.1109/tmi.2012.2223710","mag":"2078854400","pmid":"https://pubmed.ncbi.nlm.nih.gov/23070298"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2012.2223710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2012.2223710","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068139862","display_name":"Yanrong Guo","orcid":"https://orcid.org/0000-0001-6949-4879"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanrong Guo","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei 230009, China. gyr0716@gmail.com","Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA","School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei 230009, China. gyr0716@gmail.com","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I39774598"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021809690","display_name":"Guorong Wu","orcid":"https://orcid.org/0000-0002-0550-6145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guorong Wu","raw_affiliation_strings":["Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002727597","display_name":"Jianguo Jiang","orcid":"https://orcid.org/0000-0002-9349-6337"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Jiang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5718,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90027284,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"2","first_page":"268","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9783999919891357,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9783999919891357,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9768999814987183,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6499332189559937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6423492431640625},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6371831297874451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.543570339679718},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5380297303199768},{"id":"https://openalex.org/keywords/correspondence-problem","display_name":"Correspondence problem","score":0.5286515355110168},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49316877126693726},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4479571580886841},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.41135865449905396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3861972391605377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3792257308959961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2526050806045532},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1922464370727539}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499332189559937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6423492431640625},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6371831297874451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.543570339679718},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5380297303199768},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.5286515355110168},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49316877126693726},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4479571580886841},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.41135865449905396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3861972391605377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3792257308959961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2526050806045532},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1922464370727539},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059925","descriptor_name":"Anatomic Landmarks","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D059925","descriptor_name":"Anatomic Landmarks","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D059925","descriptor_name":"Anatomic Landmarks","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2012.2223710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2012.2223710","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:23070298","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23070298","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:CiteSeerX.psu:10.1.1.408.3814","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.3814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.med.unc.edu/bric/ideagroup/Publications/articles/TMI2013_Guo_Robustfinal.pdf","raw_type":"text"},{"id":"pmh:oai:europepmc.org:2759101","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3767391","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G138053896","display_name":null,"funder_award_id":"R01 CA140413","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G1520354424","display_name":null,"funder_award_id":"R01 AG041721","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G1529334509","display_name":null,"funder_award_id":"R01 EB008374","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G1761222865","display_name":null,"funder_award_id":"MH088520","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G2686953907","display_name":null,"funder_award_id":"EB006733","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G3258782064","display_name":null,"funder_award_id":"EB009634","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G4798393751","display_name":null,"funder_award_id":"EB008374","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G4843804559","display_name":null,"funder_award_id":"CA140413","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G6623160951","display_name":null,"funder_award_id":"R01 EB006733","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7662282662","display_name":null,"funder_award_id":"R01 EB009634","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8341723830","display_name":null,"funder_award_id":"RC1 MH088520","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G93323634","display_name":null,"funder_award_id":"AG041721","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W174992198","https://openalex.org/W1744214816","https://openalex.org/W1986289030","https://openalex.org/W1999499612","https://openalex.org/W2009295325","https://openalex.org/W2019085623","https://openalex.org/W2045789939","https://openalex.org/W2045841884","https://openalex.org/W2046316885","https://openalex.org/W2061800045","https://openalex.org/W2075559423","https://openalex.org/W2105996029","https://openalex.org/W2107855892","https://openalex.org/W2111100989","https://openalex.org/W2122502232","https://openalex.org/W2124465992","https://openalex.org/W2129812935","https://openalex.org/W2135046866","https://openalex.org/W2138910149","https://openalex.org/W2147310661","https://openalex.org/W2150760714","https://openalex.org/W2151103935","https://openalex.org/W2152953631","https://openalex.org/W2158256890","https://openalex.org/W2166820607","https://openalex.org/W2171490473","https://openalex.org/W2467020497","https://openalex.org/W2476974423","https://openalex.org/W4301014524","https://openalex.org/W6607103126","https://openalex.org/W6637760914","https://openalex.org/W6676075050","https://openalex.org/W6682759379"],"related_works":["https://openalex.org/W2010725720","https://openalex.org/W4310066305","https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2107893065","https://openalex.org/W2372581239","https://openalex.org/W2617958085","https://openalex.org/W1973922169","https://openalex.org/W1509862229","https://openalex.org/W1519745258"],"abstract_inverted_index":{"Robust":[0],"anatomical":[1,83,174],"correspondence":[2,35,119,160,180,216],"detection":[3],"is":[4,141],"a":[5,31,62,109,158],"key":[6],"step":[7],"in":[8,81,93,118,219],"many":[9],"medical":[10,94],"image":[11,15],"applications":[12],"such":[13],"as":[14,30,41],"registration":[16],"and":[17,176,189,199,224],"motion":[18],"correction.":[19],"In":[20,57],"the":[21,51,74,87,102,116,124,129,135,146,171,179,184,190,206,214],"computer":[22],"vision":[23],"field,":[24],"graph":[25,42,44,65,78,154,210,231],"matching":[26,66,79,155,161,181,211,217,232],"techniques":[27],"have":[28],"emerged":[29],"powerful":[32],"approach":[33],"for":[34,86,144],"detection.":[36],"By":[37],"considering":[38],"potential":[39,106],"correspondences":[40,107,132],"nodes,":[43],"edges":[45],"can":[46],"be":[47],"used":[48],"to":[49,71,100,133,168],"measure":[50,101],"pairwise":[52,103],"agreement":[53,104],"between":[54,105,183],"possible":[55],"correspondences.":[56,149],"this":[58],"paper,":[59],"we":[60,97,151,164],"present":[61],"novel,":[63],"hierarchical":[64,159,208],"method":[67,156,212],"with":[68,170,228],"sparsity":[69,127],"constraint":[70],"further":[72],"augment":[73],"power":[75],"of":[76,89,111,126,131,221],"conventional":[77,230],"methods":[80],"establishing":[82],"correspondences,":[84],"especially":[85],"cases":[88],"large":[90,172],"inter-subject":[91,173],"variations":[92,175],"applications.":[95],"Specifically,":[96],"first":[98],"propose":[99],"along":[108],"sequence":[110],"intensity":[112],"profiles":[113],"which":[114,140],"reduces":[115],"ambiguity":[117],"matching.":[120],"We":[121],"next":[122],"introduce":[123],"concept":[125],"on":[128,195],"fuzziness":[130],"suppress":[134],"distraction":[136],"from":[137],"misleading":[138],"matches,":[139],"very":[142],"important":[143],"achieving":[145],"accurate,":[147],"one-to-one":[148],"Finally,":[150],"integrate":[152],"our":[153],"into":[157],"framework,":[162],"where":[163],"use":[165],"multiple":[166],"models":[167],"deal":[169],"gradually":[177],"refine":[178],"results":[182],"tentatively":[185],"deformed":[186],"model":[187],"images":[188,203],"underlying":[191],"subject":[192],"image.":[193],"Evaluations":[194],"both":[196,222],"synthetic":[197],"data":[198],"public":[200],"hand":[201],"X-ray":[202],"indicate":[204],"that":[205],"proposed":[207],"sparse":[209],"yields":[213],"best":[215],"performance":[218],"terms":[220],"accuracy":[223],"robustness":[225],"when":[226],"compared":[227],"several":[229],"methods.":[233]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}