{"id":"https://openalex.org/W2203972843","doi":"https://doi.org/10.1007/978-3-319-24888-2_12","title":"Supervoxel Classification Forests for Estimating Pairwise Image Correspondences","display_name":"Supervoxel Classification Forests for Estimating Pairwise Image Correspondences","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2203972843","doi":"https://doi.org/10.1007/978-3-319-24888-2_12","mag":"2203972843"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24888-2_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24888-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-24888-2_12","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028053690","display_name":"Fahdi Kanavati","orcid":"https://orcid.org/0000-0002-8638-568X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I4210154413","display_name":"Institute of Group Analysis","ror":"https://ror.org/05bnh6b29","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210154413"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fahdi Kanavati","raw_affiliation_strings":["Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]},{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745677","display_name":"Tong Tong","orcid":"https://orcid.org/0000-0003-0636-7359"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I4210154413","display_name":"Institute of Group Analysis","ror":"https://ror.org/05bnh6b29","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210154413"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Tong","raw_affiliation_strings":["Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]},{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005597709","display_name":"Kazunari Misawa","orcid":"https://orcid.org/0000-0002-2047-3919"},"institutions":[{"id":"https://openalex.org/I4210133851","display_name":"Aichi Cancer Center","ror":"https://ror.org/03kfmm080","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210133851"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunari Misawa","raw_affiliation_strings":["Aichi Cancer Center, Nagoya, 464-8681, Japan"],"affiliations":[{"raw_affiliation_string":"Aichi Cancer Center, Nagoya, 464-8681, Japan","institution_ids":["https://openalex.org/I4210133851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087008478","display_name":"Michitaka Fujiwara","orcid":"https://orcid.org/0000-0002-7189-5580"},"institutions":[{"id":"https://openalex.org/I4210090647","display_name":"Nagoya University Hospital","ror":"https://ror.org/008zz8m46","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210090647"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michitaka Fujiwara","raw_affiliation_strings":["Nagoya University Hospital, Nagoya, 466-0065, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University Hospital, Nagoya, 466-0065, Japan","institution_ids":["https://openalex.org/I4210090647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032527419","display_name":"Kensaku Mori","orcid":"https://orcid.org/0000-0002-0100-4797"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kensaku Mori","raw_affiliation_strings":["Information and Communications, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan"],"affiliations":[{"raw_affiliation_string":"Information and Communications, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006461848","display_name":"Daniel Rueckert","orcid":"https://orcid.org/0000-0002-5683-5889"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I4210154413","display_name":"Institute of Group Analysis","ror":"https://ror.org/05bnh6b29","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210154413"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Rueckert","raw_affiliation_strings":["Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]},{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007222325","display_name":"Ben Glocker","orcid":"https://orcid.org/0000-0002-4897-9356"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I4210154413","display_name":"Institute of Group Analysis","ror":"https://ror.org/05bnh6b29","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210154413"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ben Glocker","raw_affiliation_strings":["Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]},{"raw_affiliation_string":"Biomedical Image Analysis Group, Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5028053690"],"corresponding_institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":3.6597,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95209386,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"94","last_page":"101"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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/T10862","display_name":"AI in cancer detection","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.82938152551651},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7814162969589233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7812540531158447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6432616710662842},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5688707828521729},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.567924439907074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43239152431488037}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.82938152551651},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7814162969589233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812540531158447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6432616710662842},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5688707828521729},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.567924439907074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43239152431488037}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-24888-2_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24888-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/26577","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/26577","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Workshop on Machine Learning in Medical Imaging (MLMI)","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-24888-2_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24888-2_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W118753260","https://openalex.org/W196093984","https://openalex.org/W278712781","https://openalex.org/W1544547617","https://openalex.org/W1568207135","https://openalex.org/W1573412753","https://openalex.org/W1594031697","https://openalex.org/W1993120651","https://openalex.org/W2000585255","https://openalex.org/W2010587020","https://openalex.org/W2018662705","https://openalex.org/W2021833436","https://openalex.org/W2035188186","https://openalex.org/W2053802831","https://openalex.org/W2058224795","https://openalex.org/W2085261163","https://openalex.org/W2093723730","https://openalex.org/W2122006243","https://openalex.org/W2147555557","https://openalex.org/W2285925437","https://openalex.org/W2911964244","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2562400057","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2049864679"],"abstract_inverted_index":{"This":[0,77],"paper":[1],"proposes":[2],"a":[3,12,23,60,82,108,134,162],"general":[4,109],"method":[5,19],"for":[6,112,149,178],"establishing":[7],"pairwise":[8],"correspondences,":[9,120],"which":[10,63],"is":[11,32,64,94,131,159],"fundamental":[13],"problem":[14],"in":[15,81,161],"image":[16,180],"analysis.":[17],"The":[18,89],"consists":[20],"of":[21,25,37,73,91,136,156,174],"over-segmenting":[22],"pair":[24],"images":[26],"into":[27],"supervoxels.":[28,76],"A":[29],"forest":[30,52],"classifier":[31],"then":[33,65],"trained":[34],"on":[35,53,133],"one":[36],"the":[38,40,51,54,57,71,74,154,157,172],"images,":[39],"source,":[41],"by":[42],"using":[43,67],"supervoxel":[44,61,175],"indices":[45],"as":[46,107],"voxelwise":[47],"class":[48],"labels.":[49],"Applying":[50],"other":[55,168],"image,":[56],"target,":[58],"yields":[59,78],"labelling":[62],"regularized":[66],"majority":[68],"voting":[69],"within":[70],"boundaries":[72],"target\u2019s":[75],"semi-dense":[79],"correspondences":[80,158],"fully":[83],"automatic,":[84],"efficient":[85],"and":[86,126],"robust":[87],"manner.":[88],"advantage":[90],"our":[92],"approach":[93,130],"that":[95,117],"no":[96],"prior":[97],"information":[98],"or":[99],"manual":[100,146],"annotations":[101],"are":[102],"required,":[103],"making":[104],"it":[105],"suitable":[106],"initialisation":[110],"component":[111],"various":[113],"medical":[114],"imaging":[115],"tasks":[116],"require":[118],"coarse":[119],"such":[121],"as,":[122],"atlas/patch-based":[123],"segmentation,":[124],"registration,":[125],"atlas":[127],"construction.":[128],"Our":[129],"evaluated":[132],"set":[135],"150":[137],"abdominal":[138],"CT":[139],"images.":[140],"In":[141,152],"this":[142],"dataset":[143],"we":[144],"use":[145],"organ":[147],"segmentations":[148],"quantitative":[150],"evaluation.":[151],"particular,":[153],"quality":[155],"determined":[160],"label":[163],"propagation":[164],"setting.":[165],"Comparison":[166],"to":[167],"state-of-the-art":[169],"methods":[170],"demonstrate":[171],"potential":[173],"classification":[176],"forests":[177],"estimating":[179],"correspondences.":[181]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
