{"id":"https://openalex.org/W4285322018","doi":"https://doi.org/10.1145/3510513.3510524","title":"Brain MR image registration based on an Improved CNN Model","display_name":"Brain MR image registration based on an Improved CNN Model","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W4285322018","doi":"https://doi.org/10.1145/3510513.3510524"},"language":"en","primary_location":{"id":"doi:10.1145/3510513.3510524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510513.3510524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 10th International Conference on Networks, Communication and Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100709541","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0001-5632-4408"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Software College, Zhengzhou University of Light Industry, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software College, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0002-1442-1207"},"institutions":[{"id":"https://openalex.org/I860388503","display_name":"Sias University","ror":"https://ror.org/02z8rzb71","country_code":"CN","type":"education","lineage":["https://openalex.org/I860388503"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Sias University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Sias University, China","institution_ids":["https://openalex.org/I860388503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087129640","display_name":"Xiao Juan Ba","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Juan Ba","raw_affiliation_strings":["Software College, Zhengzhou University of Light Industry, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software College, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032061647","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0003-2169-0007"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Software College, Zhengzhou University of Light Industry, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software College, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7465940713882446},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6844272017478943},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6799595355987549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6622958183288574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6165904998779297},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6104910969734192},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5680652856826782},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5372433662414551},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.510097324848175},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.47022318840026855},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4694231152534485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44791728258132935},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4405973553657532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2561712861061096}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7465940713882446},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6844272017478943},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6799595355987549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6622958183288574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6165904998779297},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6104910969734192},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5680652856826782},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5372433662414551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.510097324848175},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.47022318840026855},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4694231152534485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44791728258132935},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4405973553657532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2561712861061096},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3510513.3510524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510513.3510524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 10th International Conference on Networks, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2126635242","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2413431392","https://openalex.org/W2743780012","https://openalex.org/W2765996133","https://openalex.org/W2808034017","https://openalex.org/W2847088336","https://openalex.org/W3099933016","https://openalex.org/W3110854230","https://openalex.org/W4200084300"],"related_works":["https://openalex.org/W2426195296","https://openalex.org/W1970834875","https://openalex.org/W2367847708","https://openalex.org/W2135643201","https://openalex.org/W2370810807","https://openalex.org/W2368895820","https://openalex.org/W2156531368","https://openalex.org/W2387425358","https://openalex.org/W2542788974","https://openalex.org/W2548524143"],"abstract_inverted_index":{"Brain":[0],"image":[1,9,16,28,76],"registration":[2,17,29,71],"is":[3,43,58,77],"a":[4,25],"key":[5],"part":[6],"of":[7,14,73,131,165],"brain":[8,15,26,52,75],"processing,":[10],"so":[11],"the":[12,40,47,51,55,62,66,70,74,81,85,92,97,102,110,115,118,132,155,159],"research":[13],"technology":[18],"has":[19],"important":[20],"value.":[21],"This":[22],"paper":[23],"proposes":[24],"MR":[27],"algorithm":[30,105,156],"based":[31,157],"on":[32,158],"an":[33],"improved":[34,41,93,133,136,160],"convolutional":[35],"neural":[36],"network":[37],"(CNN).":[38],"Firstly,":[39],"CNN":[42,94,116,134,161],"used":[44],"to":[45],"extract":[46],"feature":[48,56,67],"points":[49],"in":[50,65],"image.":[53],"Thereafter,":[54],"pre-matching":[57],"performed":[59],"by":[60,79,137,149],"finding":[61],"nearest":[63],"neighbors":[64],"space.":[68],"Finally,":[69],"result":[72],"obtained":[78],"combining":[80],"space":[82],"transformation":[83],"and":[84,106,126,140],"interpolation":[86],"function.":[87],"The":[88,151],"extensive":[89],"experiments":[90],"show":[91,153],"method":[95],"obtains":[96],"better":[98],"results":[99,152],"compared":[100,113],"with":[101,114],"classic":[103],"SIFT":[104],"SURF":[107],"algorithm.":[108],"At":[109],"same":[111],"time,":[112],"algorithm,":[117],"mutual":[119,128],"information":[120,129],"(MI),":[121],"normalized":[122,127],"cross-correlation":[123],"coefficient":[124],"(NCC)":[125],"(NMI)":[130],"are":[135],"10.55%,":[138],"0.62%":[139],"1.84%,":[141],"respectively,":[142],"while":[143],"mean":[144],"square":[145],"difference":[146],"(MSD)":[147],"decreasing":[148],"0.65%.":[150],"that":[154],"achieves":[162],"higher":[163],"quality":[164],"registration.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}