{"id":"https://openalex.org/W4291653333","doi":"https://doi.org/10.1109/tmi.2022.3199155","title":"Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths","display_name":"Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths","publication_year":2022,"publication_date":"2022-08-15","ids":{"openalex":"https://openalex.org/W4291653333","doi":"https://doi.org/10.1109/tmi.2022.3199155","pmid":"https://pubmed.ncbi.nlm.nih.gov/35969576"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3199155","doi":"https://doi.org/10.1109/tmi.2022.3199155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3199155","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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 Medical Imaging","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5076735410","display_name":"Mahmut Yurt","orcid":"https://orcid.org/0000-0003-3280-4217","observed_orcids":["https://orcid.org/0000-0003-3280-4217"]},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["TR","US"],"is_corresponding":false,"raw_author_name":"Mahmut Yurt","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","Department of Electrical Engineering, Stanford University, Palo Alto, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]},{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081344849","display_name":"Onat Dalmaz","orcid":"https://orcid.org/0000-0001-7978-5311","observed_orcids":["https://orcid.org/0000-0001-7978-5311"]},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Onat Dalmaz","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088175232","display_name":"Salman Ul Hassan Dar","orcid":"https://orcid.org/0000-0002-7603-4245","observed_orcids":["https://orcid.org/0000-0002-7603-4245"]},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Salman Dar","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071482097","display_name":"Muzaffer \u00d6zbey","orcid":"https://orcid.org/0000-0002-6262-8915","observed_orcids":["https://orcid.org/0000-0002-6262-8915"]},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Muzaffer Ozbey","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6262-8915","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023626233","display_name":"Berk T\u0131naz","orcid":"https://orcid.org/0000-0002-5498-5824","observed_orcids":["https://orcid.org/0000-0002-5498-5824"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Berk Tinaz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023607130","display_name":"Kader Karl\u0131 O\u011fuz","orcid":"https://orcid.org/0000-0002-3385-4665","observed_orcids":["https://orcid.org/0000-0002-3385-4665","https://orcid.org/0000-0002-6404-4403"]},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Kader Oguz","raw_affiliation_strings":["Department of Radiology, Hacettepe University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032375235","display_name":"Tolga \u00c7ukur","orcid":"https://orcid.org/0000-0002-2296-851X","observed_orcids":["https://orcid.org/0000-0002-2296-851X"]},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tolga Cukur","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-2296-851X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":4.006,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.95256312,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"41","issue":"12","first_page":"3895","last_page":"3906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.001500000013038516,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.0003000000142492354,"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/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9100000262260437},{"id":"https://openalex.org/keywords/k-space-undersampling","display_name":"k-space undersampling","score":0.9160000085830688},{"id":"https://openalex.org/keywords/self-supervised-reconstruction","display_name":"self-supervised reconstruction","score":0.6809999942779541},{"id":"https://openalex.org/keywords/adversarial-training","display_name":"adversarial training","score":0.5519999861717224},{"id":"https://openalex.org/keywords/brain-mri","display_name":"brain MRI","score":0.6269999742507935},{"id":"https://openalex.org/keywords/training-data-curation","display_name":"training data curation","score":0.5550000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511751651763916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7012503147125244},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6512909531593323},{"id":"https://openalex.org/C30403606","wikidata":"https://www.wikidata.org/wiki/Q2981904","display_name":"Electromagnetic coil","level":2,"score":0.6183351278305054},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5466225743293762},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4956885576248169},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4856678247451782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48309993743896484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42257562279701233},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41598737239837646},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41547542810440063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3616289496421814},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18771642446517944},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3199155","doi":"https://doi.org/10.1109/tmi.2022.3199155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3199155","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35969576","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35969576","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,"listed_in":[],"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 medical imaging","raw_type":"Journal Article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/111406","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/111406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4043000042438507}],"study_designs":[],"awards":[{"id":"https://openalex.org/G4978414697","display_name":"\u00c7oklu Kontrast Manyetik Rezonans G\u00f6r\u00fcnt\u00fclemedeGeri\u00e7at\u0131m ve Sentez i\u00e7in Derin \u00d6\u011frenme Teknikleri","funder_award_id":"118E256","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"},{"id":"https://openalex.org/F4320322628","display_name":"T\u00fcrkiye Bilimler Akademisi","ror":"https://ror.org/00aqt9352"},{"id":"https://openalex.org/F4320325520","display_name":"Bilim Akademisi","ror":"https://ror.org/01q6mhb56"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1605218991","https://openalex.org/W1983060851","https://openalex.org/W2003271614","https://openalex.org/W2006096283","https://openalex.org/W2047544187","https://openalex.org/W2067018983","https://openalex.org/W2101675075","https://openalex.org/W2117649283","https://openalex.org/W2230773113","https://openalex.org/W2253429366","https://openalex.org/W2322516934","https://openalex.org/W2521443754","https://openalex.org/W2523213734","https://openalex.org/W2552465644","https://openalex.org/W2593414223","https://openalex.org/W2594014149","https://openalex.org/W2745006834","https://openalex.org/W2751069891","https://openalex.org/W2751669091","https://openalex.org/W2751812122","https://openalex.org/W2767044624","https://openalex.org/W2768626898","https://openalex.org/W2786051876","https://openalex.org/W2789713147","https://openalex.org/W2791621240","https://openalex.org/W2797534222","https://openalex.org/W2800433434","https://openalex.org/W2802508689","https://openalex.org/W2807246925","https://openalex.org/W2807888536","https://openalex.org/W2889995282","https://openalex.org/W2908880179","https://openalex.org/W2914057844","https://openalex.org/W2914424171","https://openalex.org/W2917568709","https://openalex.org/W2921322750","https://openalex.org/W2941736865","https://openalex.org/W2945147429","https://openalex.org/W2957024036","https://openalex.org/W2961602927","https://openalex.org/W2962440832","https://openalex.org/W2962793481","https://openalex.org/W2962891897","https://openalex.org/W2963105382","https://openalex.org/W2963682501","https://openalex.org/W2963981733","https://openalex.org/W2966737464","https://openalex.org/W2968009374","https://openalex.org/W2975745778","https://openalex.org/W2978997284","https://openalex.org/W2979387929","https://openalex.org/W2979700648","https://openalex.org/W2980058654","https://openalex.org/W2998376473","https://openalex.org/W3000179685","https://openalex.org/W3007486523","https://openalex.org/W3015340265","https://openalex.org/W3035596626","https://openalex.org/W3039236647","https://openalex.org/W3101204238","https://openalex.org/W3137168178","https://openalex.org/W3161035636","https://openalex.org/W3166695664","https://openalex.org/W3176466780","https://openalex.org/W3210952288","https://openalex.org/W4235964766","https://openalex.org/W4308637617","https://openalex.org/W6766132365","https://openalex.org/W6884972479"],"related_works":["https://openalex.org/W3163813349","https://openalex.org/W3107842321","https://openalex.org/W7137937237","https://openalex.org/W4386728195","https://openalex.org/W4293868299","https://openalex.org/W2980058654","https://openalex.org/W3185623763","https://openalex.org/W4401572012","https://openalex.org/W4367173824","https://openalex.org/W2944484568"],"abstract_inverted_index":{"Learning-based":[0],"translation":[1,49],"between":[2],"MRI":[3,47,102,159],"contrasts":[4],"involves":[5],"supervised":[6,117,136],"deep":[7],"models":[8,122,133],"trained":[9,54,123,140],"using":[10,56],"high-quality":[11],"source-":[12],"and":[13,75],"target-contrast":[14],"images":[15],"derived":[16],"from":[17],"fully-sampled":[18],"acquisitions,":[19],"which":[20],"might":[21],"be":[22,53],"difficult":[23],"to":[24,115,152],"collect":[25],"under":[26],"limitations":[27],"on":[28,64,84,97,112,124],"scan":[29],"costs":[30],"or":[31],"time.":[32],"To":[33,60],"facilitate":[34],"curation":[35],"of":[36,144,156],"training":[37],"sets,":[38],"here":[39],"we":[40],"introduce":[41],"the":[42,154],"first":[43],"semi-supervised":[44,62],"model":[45,138],"for":[46],"contrast":[48],"(ssGAN)":[50],"that":[51,109],"can":[52],"directly":[55],"undersampled":[57,65,99,145],"k-space":[58,86],"data.":[59,146],"enable":[61],"learning":[63],"data,":[66],"ssGAN":[67,110,148],"introduces":[68],"novel":[69],"multi-coil":[70,79],"losses":[71,80,90],"in":[72,91],"image,":[73],"k-space,":[74],"adversarial":[76],"domains.":[77],"The":[78],"are":[81,104],"selectively":[82],"enforced":[83],"acquired":[85],"samples":[87],"unlike":[88],"traditional":[89],"single-coil":[92,121],"synthesis":[93,137],"models.":[94],"Comprehensive":[95],"experiments":[96],"retrospectively":[98],"multi-contrast":[100,158],"brain":[101],"datasets":[103],"provided.":[105],"Our":[106],"results":[107],"demonstrate":[108],"yields":[111],"par":[113],"performance":[114],"a":[116,135],"model,":[118],"while":[119],"outperforming":[120],"coil-combined":[125],"magnitude":[126],"images.":[127],"It":[128],"also":[129],"outperforms":[130],"cascaded":[131],"reconstruction-synthesis":[132],"where":[134],"is":[139],"following":[141],"self-supervised":[142],"reconstruction":[143],"Thus,":[147],"holds":[149],"great":[150],"promise":[151],"improve":[153],"feasibility":[155],"learning-based":[157],"synthesis.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-08-15T00:00:00"}
