{"id":"https://openalex.org/W4285804143","doi":"https://doi.org/10.3390/s22145288","title":"Depth Estimation for Integral Imaging Microscopy Using a 3D\u20132D CNN with a Weighted Median Filter","display_name":"Depth Estimation for Integral Imaging Microscopy Using a 3D\u20132D CNN with a Weighted Median Filter","publication_year":2022,"publication_date":"2022-07-15","ids":{"openalex":"https://openalex.org/W4285804143","doi":"https://doi.org/10.3390/s22145288","pmid":"https://pubmed.ncbi.nlm.nih.gov/35890968"},"language":"en","primary_location":{"id":"doi:10.3390/s22145288","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145288","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5288/pdf?version=1657869405","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/14/5288/pdf?version=1657869405","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086912404","display_name":"Shariar Md Imtiaz","orcid":"https://orcid.org/0000-0002-7001-1667"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shariar Md Imtiaz","raw_affiliation_strings":["School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea"],"raw_orcid":"https://orcid.org/0000-0002-7001-1667","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003572893","display_name":"Ki\u2010Chul Kwon","orcid":"https://orcid.org/0000-0003-0334-504X"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ki-Chul Kwon","raw_affiliation_strings":["School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea"],"raw_orcid":"https://orcid.org/0000-0003-0334-504X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040687550","display_name":"Md. Biddut Hossain","orcid":"https://orcid.org/0000-0001-6000-9128"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md. Biddut Hossain","raw_affiliation_strings":["School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea"],"raw_orcid":"https://orcid.org/0000-0001-6000-9128","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049915833","display_name":"Md. Shahinur Alam","orcid":"https://orcid.org/0000-0001-8413-5428"},"institutions":[{"id":"https://openalex.org/I66108857","display_name":"Gallaudet University","ror":"https://ror.org/02b9aym09","country_code":"US","type":"education","lineage":["https://openalex.org/I66108857"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Shahinur Alam","raw_affiliation_strings":["VL2 Center, Gallaudet University, 800 Florida Avenue NE, Washington, DC 20002, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VL2 Center, Gallaudet University, 800 Florida Avenue NE, Washington, DC 20002, USA","institution_ids":["https://openalex.org/I66108857"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Seok-Hee Jeon","orcid":null},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seok-Hee Jeon","raw_affiliation_strings":["Department of Electronics Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon-si 22012, Gyeonggi-do, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon-si 22012, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I146429904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083210688","display_name":"Nam Kim","orcid":"https://orcid.org/0000-0001-8109-2055"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nam Kim","raw_affiliation_strings":["School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Chungbuk National University, Cheongju-si 28644, Chungcheongbuk-do, Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083210688"],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1305,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80172297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"14","first_page":"5288","last_page":"5288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.8187851905822754},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7960976362228394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7915903329849243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002698183059692},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6811491847038269},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.577925980091095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5763030648231506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5141306519508362},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4374639391899109},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42702195048332214},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.41993436217308044},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28755736351013184},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2842937707901001}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.8187851905822754},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7960976362228394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7915903329849243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002698183059692},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6811491847038269},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.577925980091095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5763030648231506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5141306519508362},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4374639391899109},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42702195048332214},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.41993436217308044},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28755736351013184},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2842937707901001},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22145288","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145288","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5288/pdf?version=1657869405","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35890968","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35890968","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:0bd05dd68286450ebf46757a9144a3a4","is_oa":true,"landing_page_url":"https://doaj.org/article/0bd05dd68286450ebf46757a9144a3a4","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":"Sensors, Vol 22, Iss 14, p 5288 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/14/5288/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22145288","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 14; Pages: 5288","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9316143","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9316143","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22145288","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145288","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5288/pdf?version=1657869405","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2865583224","display_name":null,"funder_award_id":"NRF-2020R1A2C1101258","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5567961701","display_name":null,"funder_award_id":"NRF-2018R1D1A3B07044041","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G6927130708","display_name":null,"funder_award_id":"NRF-2018R1D1A3B07044041","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8602222919","display_name":null,"funder_award_id":"2018R1D1A3B07044041","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285804143.pdf","grobid_xml":"https://content.openalex.org/works/W4285804143.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W15043550","https://openalex.org/W2003649052","https://openalex.org/W2015582795","https://openalex.org/W2021900250","https://openalex.org/W2022132914","https://openalex.org/W2037635623","https://openalex.org/W2080298447","https://openalex.org/W2081636623","https://openalex.org/W2084853746","https://openalex.org/W2106403211","https://openalex.org/W2133665775","https://openalex.org/W2144279996","https://openalex.org/W2168230916","https://openalex.org/W2264740003","https://openalex.org/W2560474170","https://openalex.org/W2591697814","https://openalex.org/W2707730095","https://openalex.org/W2743062272","https://openalex.org/W2744570394","https://openalex.org/W2766499215","https://openalex.org/W2770418743","https://openalex.org/W2778641202","https://openalex.org/W2789544120","https://openalex.org/W2811151593","https://openalex.org/W2949362021","https://openalex.org/W2963227409","https://openalex.org/W2964178790","https://openalex.org/W2973562217","https://openalex.org/W2998781196","https://openalex.org/W3003617278","https://openalex.org/W3003695281","https://openalex.org/W3014494363","https://openalex.org/W3037034211","https://openalex.org/W3045337602","https://openalex.org/W3093442972","https://openalex.org/W3097263996","https://openalex.org/W3106030537","https://openalex.org/W3121749515","https://openalex.org/W3136503401","https://openalex.org/W3199908327","https://openalex.org/W3201495010","https://openalex.org/W4211065609"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W4251504644","https://openalex.org/W1574414179","https://openalex.org/W132764016","https://openalex.org/W3099765033","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,10],"robust":[4],"depth":[5,80,151],"map":[6],"framework":[7],"based":[8],"on":[9],"convolutional":[11,49,84],"neural":[12],"network":[13,143],"(CNN)":[14],"to":[15,38,54,67,77,99,119,131],"calculate":[16],"disparities":[17],"using":[18],"multi-direction":[19],"epipolar":[20,61],"plane":[21],"images":[22],"(EPIs).":[23],"A":[24,82,112],"combination":[25],"of":[26,57,60,93,109,128,150],"three-dimensional":[27],"(3D)":[28],"and":[29,63,95,124],"two-dimensional":[30],"(2D)":[31],"CNN-based":[32],"deep":[33,141],"learning":[34,142],"networks":[35,74],"is":[36,86,96,103,117],"used":[37,118],"extract":[39],"the":[40,55,72,79,107,110,121,126,129,139],"features":[41],"from":[42],"each":[43],"input":[44,94],"stream":[45],"separately.":[46],"The":[47],"3D":[48],"blocks":[50],"are":[51,65,75],"adapted":[52],"according":[53],"disparity":[56],"different":[58],"directions":[59],"images,":[62],"2D-CNNs":[64],"employed":[66],"minimize":[68],"data":[69],"loss.":[70],"Finally,":[71],"multi-stream":[73],"merged":[76],"restore":[78],"information.":[81],"fully":[83],"approach":[85],"scalable,":[87],"which":[88],"can":[89],"handle":[90],"any":[91],"size":[92],"less":[97],"prone":[98],"overfitting.":[100],"However,":[101],"there":[102],"some":[104],"noise":[105],"in":[106,148],"direction":[108],"edge.":[111],"weighted":[113],"median":[114],"filtering":[115],"(WMF)":[116],"acquire":[120],"boundary":[122],"information":[123],"improve":[125],"accuracy":[127],"results":[130,136],"overcome":[132],"this":[133],"issue.":[134],"Experimental":[135],"indicate":[137],"that":[138],"suggested":[140],"architecture":[144],"outperforms":[145],"other":[146],"architectures":[147],"terms":[149],"estimation":[152],"accuracy.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}