{"id":"https://openalex.org/W2763024487","doi":"https://doi.org/10.1109/access.2017.2762901","title":"Joint-Saliency Structure Adaptive Kernel Regression with Adaptive-Scale Kernels for Deformable Registration of Challenging Images","display_name":"Joint-Saliency Structure Adaptive Kernel Regression with Adaptive-Scale Kernels for Deformable Registration of Challenging Images","publication_year":2017,"publication_date":"2017-10-13","ids":{"openalex":"https://openalex.org/W2763024487","doi":"https://doi.org/10.1109/access.2017.2762901","mag":"2763024487"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2762901","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2762901","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2762901","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033716596","display_name":"Binjie Qin","orcid":"https://orcid.org/0000-0001-7445-1582"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Binjie Qin","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7445-1582","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053913047","display_name":"Zhuangming Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuangming Shen","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007264545","display_name":"Zeshan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeshan Fu","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005500583","display_name":"Zien Zhou","orcid":"https://orcid.org/0000-0001-6543-7113"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zien Zhou","raw_affiliation_strings":["Department of Radiology, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036641266","display_name":"Yisong Lv","orcid":"https://orcid.org/0000-0001-7091-2062"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisong Lv","raw_affiliation_strings":["School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061529100","display_name":"Jinsong Bao","orcid":"https://orcid.org/0000-0003-1999-1003"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Bao","raw_affiliation_strings":["College of Mechanical Engineering, Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033716596"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.462,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73509582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"330","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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/kernel","display_name":"Kernel (algebra)","score":0.712736189365387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.654737114906311},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6276770830154419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5710084438323975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5699113011360168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.511639416217804},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49834299087524414},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4980766773223877},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4353465437889099},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.426516592502594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4002149701118469},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09057208895683289}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.712736189365387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654737114906311},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6276770830154419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5710084438323975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5699113011360168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.511639416217804},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49834299087524414},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4980766773223877},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4353465437889099},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.426516592502594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4002149701118469},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09057208895683289},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2762901","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2762901","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cecd6edd33b84e19bea370d95eb99b8e","is_oa":true,"landing_page_url":"https://doaj.org/article/cecd6edd33b84e19bea370d95eb99b8e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 330-343 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2762901","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2762901","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1002707278","display_name":null,"funder_award_id":"61271320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6857586842","display_name":null,"funder_award_id":"YG2014MS29","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G7696471586","display_name":null,"funder_award_id":"51475301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W318364127","https://openalex.org/W1497467118","https://openalex.org/W1569058154","https://openalex.org/W1721368222","https://openalex.org/W1762798876","https://openalex.org/W1938156704","https://openalex.org/W1951289974","https://openalex.org/W1963841606","https://openalex.org/W1973207753","https://openalex.org/W1977003762","https://openalex.org/W1977706060","https://openalex.org/W1980114101","https://openalex.org/W1984657950","https://openalex.org/W1987069725","https://openalex.org/W2000305870","https://openalex.org/W2005595608","https://openalex.org/W2008240038","https://openalex.org/W2022735534","https://openalex.org/W2042068476","https://openalex.org/W2042243448","https://openalex.org/W2044221450","https://openalex.org/W2054658115","https://openalex.org/W2059612594","https://openalex.org/W2062297757","https://openalex.org/W2065319605","https://openalex.org/W2065967476","https://openalex.org/W2067178115","https://openalex.org/W2071989139","https://openalex.org/W2077014395","https://openalex.org/W2082030398","https://openalex.org/W2085123263","https://openalex.org/W2096104495","https://openalex.org/W2097384311","https://openalex.org/W2103504761","https://openalex.org/W2104564430","https://openalex.org/W2110952843","https://openalex.org/W2115167851","https://openalex.org/W2115304588","https://openalex.org/W2118246710","https://openalex.org/W2121236251","https://openalex.org/W2124861766","https://openalex.org/W2125736029","https://openalex.org/W2126393454","https://openalex.org/W2131337587","https://openalex.org/W2131747574","https://openalex.org/W2132765599","https://openalex.org/W2133155955","https://openalex.org/W2136145485","https://openalex.org/W2138626541","https://openalex.org/W2140760626","https://openalex.org/W2142658473","https://openalex.org/W2145023731","https://openalex.org/W2150134853","https://openalex.org/W2157243105","https://openalex.org/W2159971808","https://openalex.org/W2160208260","https://openalex.org/W2161856360","https://openalex.org/W2170167891","https://openalex.org/W2170541517","https://openalex.org/W2189317234","https://openalex.org/W2191021609","https://openalex.org/W2261238424","https://openalex.org/W2298071216","https://openalex.org/W2310141728","https://openalex.org/W2342719188","https://openalex.org/W2491696289","https://openalex.org/W2516530047","https://openalex.org/W2530305738","https://openalex.org/W2604920239","https://openalex.org/W2623243247","https://openalex.org/W2729562325","https://openalex.org/W2914320392","https://openalex.org/W3099545475","https://openalex.org/W3138193373","https://openalex.org/W6650443596","https://openalex.org/W6678669067","https://openalex.org/W6679681355"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W3006513224","https://openalex.org/W4285230481","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W4385769873","https://openalex.org/W4210897550","https://openalex.org/W1987537206"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,45],"locally":[4,28,130],"adaptive":[5,25,131],"kernel":[6,26,48,132],"regression":[7,27,133],"with":[8,15,110,141],"adaptive-scale":[9,126],"kernels":[10,127],"for":[11,128,138,156,166],"deformable":[12,139,170],"image":[13,171],"registration":[14,140],"outliers":[16],"(i.e.,":[17],"missing":[18],"correspondences":[19],"and":[20],"large":[21],"local":[22],"deformations).":[23],"The":[24,143],"constructs":[29],"dense":[30],"deformation":[31],"fields":[32,43],"from":[33],"the":[34,51,55,60,75,91,95,102,106,111,116,129,147,162],"weighted":[35],"contributions":[36],"of":[37,54,79,94,115],"each":[38,80],"pixel's":[39],"surrounding":[40],"discrete":[41],"displacement":[42],"in":[44,59,101,169],"moving":[46],"anisotropic":[47],"by":[49],"exploiting":[50],"contextual":[52],"deformations":[53,137],"corresponding":[56,158],"saliency":[57,118],"structures":[58,97,119,159,168],"two":[61],"images.":[62,103],"Specifically,":[63],"we":[64,123],"first":[65],"propose":[66,85],"an":[67,86],"effective":[68],"superpixel-based":[69],"structure":[70,77,108],"scale":[71,78,89,109,114],"estimator":[72],"to":[73,98,120,134],"estimate":[74],"boundary-aware":[76,107],"reference":[81],"structure.":[82],"We":[83],"further":[84],"edge-aware":[87,112,125],"mismatch":[88,92,113],"measuring":[90],"degree":[93],"edge":[96],"be":[99,121],"matched":[100],"By":[104],"combining":[105],"underlying":[117],"matched,":[122],"define":[124],"efficiently":[135],"construct":[136],"outliers.":[142],"experiments":[144],"show":[145],"that":[146],"proposed":[148],"method":[149],"achieves":[150],"not":[151],"only":[152],"state-of-the-art":[153],"matching":[154,164],"accuracy":[155],"normal":[157],"but":[160],"also":[161],"best":[163],"efficiency":[165],"outlier":[167],"registration.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}