{"id":"https://openalex.org/W4229079397","doi":"https://doi.org/10.1109/tip.2022.3171081","title":"Multi-Manifold Deep Discriminative Cross-Modal Hashing for Medical Image Retrieval","display_name":"Multi-Manifold Deep Discriminative Cross-Modal Hashing for Medical Image Retrieval","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4229079397","doi":"https://doi.org/10.1109/tip.2022.3171081","pmid":"https://pubmed.ncbi.nlm.nih.gov/35507618"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3171081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3171081","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5078693770","display_name":"Liming Xu","orcid":"https://orcid.org/0000-0002-0671-8182"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liming Xu","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656785","display_name":"Xianhua Zeng","orcid":"https://orcid.org/0000-0001-5892-2372"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianhua Zeng","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622993","display_name":"Bochuan Zheng","orcid":"https://orcid.org/0000-0003-4495-8299"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bochuan Zheng","raw_affiliation_strings":["School of Computer Science, China West Normal University, Nanchong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058194445","display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078693770"],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":null,"apc_paid":null,"fwci":3.4224,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.93881735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"3371","last_page":"3385"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9941999912261963,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9860000014305115,"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/hash-function","display_name":"Hash function","score":0.7922973036766052},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6952642798423767},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6614115238189697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6464852690696716},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6287097930908203},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.6026751399040222},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5578634142875671},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5340715050697327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46792057156562805},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4463042914867401},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.44366657733917236},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36657339334487915},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.34674155712127686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.240707665681839},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.2219991683959961}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7922973036766052},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6952642798423767},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6614115238189697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6464852690696716},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6287097930908203},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6026751399040222},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5578634142875671},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5340715050697327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46792057156562805},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4463042914867401},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.44366657733917236},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36657339334487915},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.34674155712127686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.240707665681839},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2219991683959961},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3171081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3171081","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:35507618","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35507618","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3286485302","display_name":null,"funder_award_id":"62076044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3439715140","display_name":null,"funder_award_id":"KCXTD2022-3","funder_id":"https://openalex.org/F4320324420","funder_display_name":"China West Normal University"},{"id":"https://openalex.org/G469903007","display_name":null,"funder_award_id":"cstc2019jcyj-zdxmX0011","funder_id":"https://openalex.org/F4320327865","funder_display_name":"Chongqing Research Program of Basic Research and Frontier Technology"},{"id":"https://openalex.org/G6153046176","display_name":null,"funder_award_id":"62176217","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/F4320324420","display_name":"China West Normal University","ror":"https://ror.org/04s99y476"},{"id":"https://openalex.org/F4320327865","display_name":"Chongqing Research Program of Basic Research and Frontier Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1922199343","https://openalex.org/W2053186076","https://openalex.org/W2099471712","https://openalex.org/W2136922672","https://openalex.org/W2157857559","https://openalex.org/W2194775991","https://openalex.org/W2266728343","https://openalex.org/W2388114291","https://openalex.org/W2560982456","https://openalex.org/W2586573945","https://openalex.org/W2604880013","https://openalex.org/W2606965845","https://openalex.org/W2613789569","https://openalex.org/W2747853580","https://openalex.org/W2751486419","https://openalex.org/W2791083848","https://openalex.org/W2795832645","https://openalex.org/W2799150641","https://openalex.org/W2807944281","https://openalex.org/W2808282156","https://openalex.org/W2889024947","https://openalex.org/W2905040928","https://openalex.org/W2916798096","https://openalex.org/W2948171447","https://openalex.org/W2953037339","https://openalex.org/W2963001870","https://openalex.org/W2963187862","https://openalex.org/W2963288100","https://openalex.org/W2963446712","https://openalex.org/W2963855133","https://openalex.org/W2967957126","https://openalex.org/W2981210451","https://openalex.org/W2982392870","https://openalex.org/W2999606372","https://openalex.org/W3003460937","https://openalex.org/W3003608386","https://openalex.org/W3022072054","https://openalex.org/W3049577264","https://openalex.org/W3092003602","https://openalex.org/W3148981562","https://openalex.org/W4246193833","https://openalex.org/W6606244218","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6685527872","https://openalex.org/W6686207219","https://openalex.org/W6785838799"],"related_works":["https://openalex.org/W2023326318","https://openalex.org/W2783286101","https://openalex.org/W2921167217","https://openalex.org/W4301184875","https://openalex.org/W2000284985","https://openalex.org/W2964752363","https://openalex.org/W2802864907","https://openalex.org/W4212830455","https://openalex.org/W2088296667","https://openalex.org/W2415956510"],"abstract_inverted_index":{"Benefitting":[0],"from":[1,214],"the":[2,25,220,225,231],"low":[3],"storage":[4],"cost":[5],"and":[6,54,72,138,196,228],"high":[7],"retrieval":[8,17],"efficiency,":[9],"hash":[10,58,92,157,161,170,182],"learning":[11],"has":[12,29],"become":[13],"a":[14,102],"widely":[15],"used":[16],"technology":[18],"to":[19,133,154,179,206],"approximate":[20],"nearest":[21],"neighbors.":[22],"Within":[23],"it,":[24],"cross-modal":[26,62,110],"medical":[27,115,222],"hashing":[28,63,104,111,209],"attracted":[30],"an":[31],"increasing":[32],"attention":[33],"in":[34,46],"facilitating":[35],"efficiently":[36],"clinical":[37],"decision.":[38],"However,":[39],"there":[40,82],"are":[41],"still":[42],"two":[43,70],"main":[44],"challenges":[45],"weak":[47,55],"multi-manifold":[48,75,107],"structure":[49],"perseveration":[50],"across":[51,77],"multiple":[52,127],"modalities":[53],"discriminability":[56],"of":[57,91,169],"code.":[59,171],"Specifically,":[60],"existing":[61],"methods":[64],"focus":[65],"on":[66,130,146,190],"pairwise":[67],"relations":[68],"within":[69],"modalities,":[71],"ignore":[73],"underlying":[74],"structures":[76],"over":[78],"2":[79],"modalities.":[80],"Then,":[81,149],"is":[83,121],"little":[84],"consideration":[85],"about":[86],"discriminability,":[87],"i.e.,":[88],"any":[89,186],"pair":[90],"codes":[93,183],"should":[94],"be":[95,141,163],"different.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100,150,173],"propose":[101,151],"novel":[103],"method":[105],"named":[106],"deep":[108],"discriminative":[109,152,167],"(MDDCH)":[112],"for":[113],"large-scale":[114],"image":[116],"retrieval.":[117],"The":[118],"key":[119],"point":[120],"multi-modal":[122],"manifold":[123],"similarity":[124],"which":[125,165],"integrates":[126],"sub-manifolds":[128],"defined":[129],"heterogeneous":[131],"data":[132],"preserve":[134],"correlation":[135],"among":[136],"instances,":[137],"it":[139],"can":[140],"measured":[142],"by":[143,160],"three-step":[144],"connection":[145],"corresponding":[147],"hetero-manifold.":[148],"item":[153],"make":[155],"each":[156],"code":[158],"encoded":[159],"functions":[162],"different,":[164],"improves":[166],"performance":[168,205],"Besides,":[172],"introduce":[174],"Gaussian-binary":[175],"Restricted":[176],"Boltzmann":[177],"Machine":[178],"directly":[180],"output":[181],"without":[184],"using":[185],"continuous":[187],"relaxation.":[188],"Experiments":[189],"three":[191],"benchmark":[192],"datasets":[193],"(AIBL,":[194],"Brain":[195],"SPLP)":[197],"show":[198],"that":[199,218],"our":[200],"proposed":[201],"MDDCH":[202],"achieves":[203],"comparative":[204],"recent":[207],"state-of-the-art":[208],"methods.":[210],"Additionally,":[211],"diagnostic":[212],"evaluation":[213],"professional":[215],"physicians":[216],"shows":[217],"all":[219],"retrieved":[221],"images":[223],"describe":[224],"same":[226],"object":[227],"illness":[229],"as":[230],"queried":[232],"image.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}