{"id":"https://openalex.org/W3033471811","doi":"https://doi.org/10.1109/access.2020.2998901","title":"Volumetric Segmentation of Brain Regions From MRI Scans Using 3D Convolutional Neural Networks","display_name":"Volumetric Segmentation of Brain Regions From MRI Scans Using 3D Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3033471811","doi":"https://doi.org/10.1109/access.2020.2998901","mag":"3033471811"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2998901","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998901","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09104657.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09104657.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052230564","display_name":"Farheen Ramzan","orcid":"https://orcid.org/0000-0002-1051-6188"},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Farheen Ramzan","raw_affiliation_strings":["Intelligent Criminology Research Laboratory, National Center of Artificial Intelligence, Al-Khawarizmi Institute of Computer Science (KICS), University of Engineering and Technology (UET) Lahore, Lahore, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Criminology Research Laboratory, National Center of Artificial Intelligence, Al-Khawarizmi Institute of Computer Science (KICS), University of Engineering and Technology (UET) Lahore, Lahore, Pakistan","institution_ids":["https://openalex.org/I142732210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007976764","display_name":"Muhammad Usman Ghani Khan","orcid":"https://orcid.org/0000-0001-6733-2569"},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Usman Ghani Khan","raw_affiliation_strings":["Intelligent Criminology Research Laboratory, National Center of Artificial Intelligence, Al-Khawarizmi Institute of Computer Science (KICS), University of Engineering and Technology (UET) Lahore, Lahore, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Criminology Research Laboratory, National Center of Artificial Intelligence, Al-Khawarizmi Institute of Computer Science (KICS), University of Engineering and Technology (UET) Lahore, Lahore, Pakistan","institution_ids":["https://openalex.org/I142732210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072097752","display_name":"Sajid Iqbal","orcid":"https://orcid.org/0000-0002-8464-2275"},"institutions":[{"id":"https://openalex.org/I127670440","display_name":"Bahauddin Zakariya University","ror":"https://ror.org/05x817c41","country_code":"PK","type":"education","lineage":["https://openalex.org/I127670440"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sajid Iqbal","raw_affiliation_strings":["Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-8464-2275","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan","institution_ids":["https://openalex.org/I127670440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018549351","display_name":"Tanzila Saba","orcid":"https://orcid.org/0000-0003-3138-3801"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Tanzila Saba","raw_affiliation_strings":["Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062125413","display_name":"Amjad Rehman","orcid":"https://orcid.org/0000-0002-3817-2655"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Amjad Rehman","raw_affiliation_strings":["Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-3817-2655","affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052230564"],"corresponding_institution_ids":["https://openalex.org/I142732210"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.2177,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.95357078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"103697","last_page":"103709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8056225776672363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7652443647384644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.755554735660553},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6712220311164856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6295264363288879},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6281528472900391},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5698533654212952},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5454003810882568},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.49457070231437683},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41819214820861816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0805726945400238}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8056225776672363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7652443647384644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.755554735660553},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6712220311164856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6295264363288879},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6281528472900391},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5698533654212952},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5454003810882568},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.49457070231437683},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41819214820861816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0805726945400238},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2998901","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998901","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09104657.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8bf222f9f1c647e3a2da5a56a00487b2","is_oa":true,"landing_page_url":"https://doaj.org/article/8bf222f9f1c647e3a2da5a56a00487b2","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 8, Pp 103697-103709 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2998901","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998901","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09104657.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","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/G1336222015","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2189010064","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G29951154","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"},{"id":"https://openalex.org/G3216574877","display_name":null,"funder_award_id":"W81XWH-12-2-","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"},{"id":"https://openalex.org/G3890809913","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"},{"id":"https://openalex.org/G4119534169","display_name":null,"funder_award_id":"W81XWH","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G4475667458","display_name":null,"funder_award_id":"W81XWH-12-2-","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G5850682332","display_name":null,"funder_award_id":"W81XWH","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6812249457","display_name":null,"funder_award_id":"Grant U01 AG024904","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G764699806","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7854119329","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G8895907669","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G8940068167","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320309697","display_name":"Alzheimer's Disease Neuroimaging Initiative","ror":"https://ror.org/01j20wc74"},{"id":"https://openalex.org/F4320310020","display_name":"Bahauddin Zakariya University","ror":"https://ror.org/05x817c41"},{"id":"https://openalex.org/F4320327702","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033471811.pdf","grobid_xml":"https://content.openalex.org/works/W3033471811.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W607316917","https://openalex.org/W1794121648","https://openalex.org/W1836465849","https://openalex.org/W1910109443","https://openalex.org/W1969094805","https://openalex.org/W1999240723","https://openalex.org/W2046142779","https://openalex.org/W2046985712","https://openalex.org/W2048700485","https://openalex.org/W2049571912","https://openalex.org/W2054183703","https://openalex.org/W2055190078","https://openalex.org/W2059911466","https://openalex.org/W2067065405","https://openalex.org/W2071881327","https://openalex.org/W2073272031","https://openalex.org/W2078524519","https://openalex.org/W2082526668","https://openalex.org/W2086978209","https://openalex.org/W2116895317","https://openalex.org/W2136573752","https://openalex.org/W2138716135","https://openalex.org/W2144803285","https://openalex.org/W2150534249","https://openalex.org/W2167896953","https://openalex.org/W2194775991","https://openalex.org/W2215493432","https://openalex.org/W2292862470","https://openalex.org/W2302255633","https://openalex.org/W2332066482","https://openalex.org/W2412782625","https://openalex.org/W2441649867","https://openalex.org/W2464708700","https://openalex.org/W2518214538","https://openalex.org/W2525606708","https://openalex.org/W2533800772","https://openalex.org/W2589647984","https://openalex.org/W2592929672","https://openalex.org/W2607941059","https://openalex.org/W2612342472","https://openalex.org/W2613456556","https://openalex.org/W2621028221","https://openalex.org/W2736107213","https://openalex.org/W2750016300","https://openalex.org/W2755930428","https://openalex.org/W2760516000","https://openalex.org/W2761545065","https://openalex.org/W2763471831","https://openalex.org/W2773219472","https://openalex.org/W2791575870","https://openalex.org/W2791680898","https://openalex.org/W2891155035","https://openalex.org/W2899121787","https://openalex.org/W2900489637","https://openalex.org/W2900954917","https://openalex.org/W2912004054","https://openalex.org/W2916213758","https://openalex.org/W2942752384","https://openalex.org/W2943507717","https://openalex.org/W2944590104","https://openalex.org/W2944879639","https://openalex.org/W2957257033","https://openalex.org/W2962914239","https://openalex.org/W2963730812","https://openalex.org/W2963840672","https://openalex.org/W2964290592","https://openalex.org/W2964302138","https://openalex.org/W2970989993","https://openalex.org/W2974878728","https://openalex.org/W2977883299","https://openalex.org/W2979305613","https://openalex.org/W2979439050","https://openalex.org/W2988053426","https://openalex.org/W2989698510","https://openalex.org/W2995089442","https://openalex.org/W2995864059","https://openalex.org/W3005437975","https://openalex.org/W3160693705","https://openalex.org/W4241074797","https://openalex.org/W6638667902","https://openalex.org/W6696085341","https://openalex.org/W6726636076","https://openalex.org/W6763198387","https://openalex.org/W6794825017"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W4254054209","https://openalex.org/W4200334192","https://openalex.org/W4391935352","https://openalex.org/W2952835238"],"abstract_inverted_index":{"Automated":[0],"brain":[1,47,77,102,135,148,177,202,216],"segmentation":[2,75,99,143,218],"is":[3,108,139,222],"an":[4],"active":[5],"research":[6,138],"domain":[7],"due":[8],"to":[9,22,39,83,123,132,146],"the":[10,20,40,85,89,98,126,133,142,182,201,207,230],"association":[11],"of":[12,19,42,76,80,88,100,144,166,200,211],"various":[13,43],"neurological":[14],"disorders":[15],"with":[16,219],"different":[17,186],"regions":[18,78,103,149,203,217],"brain,":[21],"help":[23],"medical":[24],"professionals":[25],"in":[26,229],"prognostics":[27],"and":[28,34,58,115,119,155,168,175],"diagnostics.":[29],"Traditional":[30],"techniques":[31,52],"like":[32],"atlas-based":[33],"pattern":[35],"recognition-based":[36],"methods":[37,57],"led":[38],"development":[41],"tools":[44],"for":[45,73,97,173,198,214],"automated":[46],"segmentation.":[48],"Recently,":[49],"deep":[50,64],"learning":[51,65,118],"are":[53],"outperforming":[54],"classical":[55],"state-of-the-art":[56],"gradually":[59],"becoming":[60],"more":[61],"mature.":[62],"Consequently,":[63],"has":[66,104],"been":[67,105,171],"extensively":[68],"employed":[69],"as":[70,158,160],"a":[71,95],"tool":[72],"precise":[74],"because":[79],"its":[81],"capability":[82],"learn":[84,125],"intricate":[86],"features":[87],"high-dimensional":[90],"data.":[91],"In":[92],"this":[93],"work,":[94],"network":[96,193],"multiple":[101],"proposed":[106],"that":[107,191],"based":[109],"on":[110,141],"3D":[111],"convolutional":[112],"neural":[113],"networks":[114],"utilizes":[116],"residual":[117],"dilated":[120],"convolution":[121],"operations":[122],"efficiently":[124],"end-to-end":[127],"mapping":[128],"from":[129,184],"MRI":[130],"volumes":[131],"voxel-level":[134],"segments.":[136],"This":[137],"focused":[140],"up":[145],"nine":[147,176],"including":[150],"cerebrospinal":[151],"fluid,":[152],"white":[153],"matter":[154,157],"gray":[156],"well":[159],"their":[161],"sub-regions.":[162],"Mean":[163],"dice":[164,196,209],"scores":[165,197],"0.879":[167],"0.914":[169],"have":[170],"achieved":[172,228],"three":[174,185],"regions,":[178],"respectively":[179],"by":[180],"using":[181],"data":[183],"sources.":[187],"Comparative":[188],"analysis":[189],"shows":[190],"our":[192],"gives":[194],"better":[195,223],"most":[199],"than":[204,224],"state-of-the-artwork.":[205],"Moreover,":[206],"mean":[208],"score":[210],"0.903,":[212],"obtained":[213],"eight":[215],"MRBrains18":[220],"dataset,":[221],"0.876":[225],"which":[226],"was":[227],"previous":[231],"work.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}