{"id":"https://openalex.org/W2963691855","doi":"https://doi.org/10.1109/ijcnn.2016.7727562","title":"Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform","display_name":"Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2963691855","doi":"https://doi.org/10.1109/ijcnn.2016.7727562","mag":"2963691855"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100782683","display_name":"Xinran Liu","orcid":"https://orcid.org/0009-0003-1245-9273"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xinran Liu","raw_affiliation_strings":["Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038566332","display_name":"Hamid R. Tizhoosh","orcid":"https://orcid.org/0000-0001-5488-601X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H.R. Tizhoosh","raw_affiliation_strings":["Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004248846","display_name":"Jonathan Kofman","orcid":"https://orcid.org/0000-0002-5060-967X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J. Kofman","raw_affiliation_strings":["Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100782683"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":3.8411,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.95948781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2872","last_page":"2878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8034807443618774},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7827708721160889},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7604666948318481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6396384239196777},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.593305766582489},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5759075880050659},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5626010894775391},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48136740922927856},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.44895920157432556},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44362515211105347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44224104285240173},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.4280480146408081},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4191695749759674},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3820666968822479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09457850456237793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8034807443618774},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7827708721160889},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7604666948318481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6396384239196777},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.593305766582489},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5759075880050659},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5626010894775391},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48136740922927856},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.44895920157432556},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44362515211105347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44224104285240173},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4280480146408081},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4191695749759674},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3820666968822479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09457850456237793},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1544903785","https://openalex.org/W1686810756","https://openalex.org/W1762722454","https://openalex.org/W1968319872","https://openalex.org/W1995744101","https://openalex.org/W2052271957","https://openalex.org/W2086962047","https://openalex.org/W2095705004","https://openalex.org/W2100495367","https://openalex.org/W2101711932","https://openalex.org/W2114581665","https://openalex.org/W2117228865","https://openalex.org/W2122369784","https://openalex.org/W2123096872","https://openalex.org/W2130660124","https://openalex.org/W2134044542","https://openalex.org/W2141584146","https://openalex.org/W2151619249","https://openalex.org/W2156387975","https://openalex.org/W2163605009","https://openalex.org/W2166289851","https://openalex.org/W2172177969","https://openalex.org/W2202393049","https://openalex.org/W2259336176","https://openalex.org/W2268345094","https://openalex.org/W2964155457","https://openalex.org/W3105428393","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6682488304","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6991965754"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W2031096531","https://openalex.org/W2905186525","https://openalex.org/W2042500714","https://openalex.org/W826460979","https://openalex.org/W2141292664","https://openalex.org/W3197447665","https://openalex.org/W2602624304","https://openalex.org/W4327774125","https://openalex.org/W2590792214"],"abstract_inverted_index":{"Content-based":[0],"image":[1,7,30,51,86,96],"retrieval":[2,52],"(CBIR)":[3],"in":[4],"large":[5],"medical":[6,55],"archives":[8],"is":[9,107,122],"a":[10,49,59],"challenging":[11],"and":[12,25],"necessary":[13],"task.":[14],"Generally,":[15],"different":[16],"feature":[17,41],"extraction":[18],"methods":[19],"are":[20],"used":[21,108],"to":[22,28,40,109,124],"assign":[23],"expressive":[24],"invariant":[26],"features":[27],"each":[29],"such":[31],"that":[32,57,119],"the":[33,80,111],"search":[34,87],"for":[35,54,73,79],"similar":[36],"images":[37,106],"comes":[38],"down":[39],"classification":[42,75],"and/or":[43],"matching.":[44],"The":[45,98],"present":[46],"work":[47],"introduces":[48],"new":[50],"method":[53],"applications":[56],"employs":[58],"convolutional":[60],"neural":[61,71],"network":[62],"(CNN)":[63],"with":[64,76,101],"recently":[65],"introduced":[66],"Radon":[67,77],"barcodes.":[68],"We":[69,83],"combine":[70],"codes":[72],"global":[74],"barcodes":[78],"final":[81],"retrieval.":[82,97],"also":[84],"examine":[85],"based":[88],"on":[89],"regions":[90],"of":[91,113],"interest":[92],"(ROI)":[93],"matching":[94],"after":[95],"IRMA":[99],"dataset":[100],"more":[102],"than":[103],"14,000":[104],"x-rays":[105],"evaluate":[110],"performance":[112],"our":[114,120],"method.":[115],"Experimental":[116],"results":[117],"show":[118],"approach":[121],"superior":[123],"many":[125],"published":[126],"works.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
