{"id":"https://openalex.org/W3119554868","doi":"https://doi.org/10.3390/s21020591","title":"Ant Colony-Based Hyperparameter Optimisation in Total Variation Reconstruction in X-ray Computed Tomography","display_name":"Ant Colony-Based Hyperparameter Optimisation in Total Variation Reconstruction in X-ray Computed Tomography","publication_year":2021,"publication_date":"2021-01-15","ids":{"openalex":"https://openalex.org/W3119554868","doi":"https://doi.org/10.3390/s21020591","mag":"3119554868","pmid":"https://pubmed.ncbi.nlm.nih.gov/33467627"},"language":"en","primary_location":{"id":"doi:10.3390/s21020591","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020591","pdf_url":"https://www.mdpi.com/1424-8220/21/2/591/pdf?version=1610715981","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/1424-8220/21/2/591/pdf?version=1610715981","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086261618","display_name":"Manasavee Lohvithee","orcid":"https://orcid.org/0000-0002-7299-6826"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Manasavee Lohvithee","raw_affiliation_strings":["Department of Nuclear Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090698114","display_name":"Wenjuan Sun","orcid":"https://orcid.org/0000-0001-5888-111X"},"institutions":[{"id":"https://openalex.org/I134421475","display_name":"National Physical Laboratory","ror":"https://ror.org/015w2mp89","country_code":"GB","type":"facility","lineage":["https://openalex.org/I134421475"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenjuan Sun","raw_affiliation_strings":["National Physical Laboratory (NPL), Teddington, Middlesex TW11 0LW, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Physical Laboratory (NPL), Teddington, Middlesex TW11 0LW, UK","institution_ids":["https://openalex.org/I134421475"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059835438","display_name":"St\u00e9phane Chr\u00e9tien","orcid":"https://orcid.org/0000-0002-4544-1315"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I134421475","display_name":"National Physical Laboratory","ror":"https://ror.org/015w2mp89","country_code":"GB","type":"facility","lineage":["https://openalex.org/I134421475"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"Stephane Chretien","raw_affiliation_strings":["Laboratoire ERIC, Universit\u00e9 Lyon 2, 69500 Bron, France","National Physical Laboratory (NPL), Teddington, Middlesex TW11 0LW, UK"],"raw_orcid":"https://orcid.org/0000-0002-4544-1315","affiliations":[{"raw_affiliation_string":"Laboratoire ERIC, Universit\u00e9 Lyon 2, 69500 Bron, France","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"National Physical Laboratory (NPL), Teddington, Middlesex TW11 0LW, UK","institution_ids":["https://openalex.org/I134421475"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085895836","display_name":"Manuchehr Soleimani","orcid":"https://orcid.org/0000-0002-6341-9592"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Manuchehr Soleimani","raw_affiliation_strings":["Engineering Tomography Laboratory (ETL), University of Bath, Bath BA2 7AY, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Tomography Laboratory (ETL), University of Bath, Bath BA2 7AY, UK","institution_ids":["https://openalex.org/I51601045"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085895836"],"corresponding_institution_ids":["https://openalex.org/I51601045"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.5466,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82024681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"2","first_page":"591","last_page":"591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10844","display_name":"Radiation Dose and Imaging","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.9349409937858582},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.6679138541221619},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.5814564824104309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46585091948509216},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45231714844703674},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4345707297325134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4225604832172394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42111656069755554},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.41087794303894043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3936435878276825},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1676749587059021},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08253246545791626}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9349409937858582},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.6679138541221619},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.5814564824104309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46585091948509216},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45231714844703674},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4345707297325134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4225604832172394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42111656069755554},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.41087794303894043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3936435878276825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1676749587059021},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08253246545791626},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21020591","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020591","pdf_url":"https://www.mdpi.com/1424-8220/21/2/591/pdf?version=1610715981","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:33467627","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33467627","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:2869511b1d094f5e8c5a32beffc5ec01","is_oa":true,"landing_page_url":"https://doaj.org/article/2869511b1d094f5e8c5a32beffc5ec01","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 21, Iss 2, p 591 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/2/591/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21020591","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 21; Issue 2; Pages: 591","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7830391","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7830391","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/s21020591","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020591","pdf_url":"https://www.mdpi.com/1424-8220/21/2/591/pdf?version=1610715981","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/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320314707","display_name":"Government of the United Kingdom","ror":"https://ror.org/05wnh3t63"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338394","display_name":"European Metrology Programme for Innovation and Research","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3119554868.pdf","grobid_xml":"https://content.openalex.org/works/W3119554868.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1676212501","https://openalex.org/W1680392829","https://openalex.org/W1972150100","https://openalex.org/W1978709834","https://openalex.org/W1983281817","https://openalex.org/W1993253771","https://openalex.org/W2007522854","https://openalex.org/W2024575266","https://openalex.org/W2034233362","https://openalex.org/W2048369828","https://openalex.org/W2054218460","https://openalex.org/W2084052726","https://openalex.org/W2086208546","https://openalex.org/W2107941094","https://openalex.org/W2118051273","https://openalex.org/W2119259145","https://openalex.org/W2146583368","https://openalex.org/W2150134853","https://openalex.org/W2154741779","https://openalex.org/W2163068975","https://openalex.org/W2501312908","https://openalex.org/W2765812634","https://openalex.org/W2951629090","https://openalex.org/W2964327615","https://openalex.org/W3011150544","https://openalex.org/W3106045672","https://openalex.org/W4240518936","https://openalex.org/W4302564868","https://openalex.org/W6637147058","https://openalex.org/W6637386731","https://openalex.org/W6658981922"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4281646320","https://openalex.org/W4205712847","https://openalex.org/W3169687406","https://openalex.org/W1974336862","https://openalex.org/W4388119537","https://openalex.org/W3014750173","https://openalex.org/W3114025147","https://openalex.org/W4287818966","https://openalex.org/W3192751261"],"abstract_inverted_index":{"In":[0,149],"this":[1,317],"paper,":[2],"a":[3,45,56,70,104,111,295,299,302,321,328],"computer-aided":[4],"training":[5],"method":[6,22,161,197,231,256,285,315],"for":[7,35,75,88,294],"hyperparameter":[8,33,135],"selection":[9,34],"of":[10,58,72,98,113,131,147,182,202,213,219,228,251,263,292,310,323,334],"limited":[11,308],"data":[12,267],"X-ray":[13],"computed":[14],"tomography":[15],"(XCT)":[16],"reconstruction":[17,79,155,337],"was":[18,55,86,141,162,241,257,286],"proposed.":[19],"The":[20,248,279,313],"proposed":[21,160,196,255,284,314],"employed":[23],"the":[24,36,52,64,81,93,125,129,132,134,138,150,154,159,170,176,180,186,192,195,203,207,211,217,220,229,235,238,254,266,283],"ant":[25,68],"colony":[26,57,97],"optimisation":[27],"(ACO)":[28],"approach":[29,281],"to":[30,92,120,200,226,272,288],"assist":[31],"in":[32,100,124,265,282,316,331],"adaptive-weighted":[37],"projection-controlled":[38],"steepest":[39],"descent":[40],"(AwPCSD)":[41],"algorithm,":[42],"which":[43,326],"is":[44,327],"total-variation":[46],"(TV)":[47],"based":[48,336],"regularisation":[49],"algorithm.":[50,66],"During":[51],"implementation,":[53,133],"there":[54],"artificial":[59],"ants":[60,99,123],"that":[61,191],"swarm":[62],"through":[63,106],"AwPCSD":[65,177,208],"Each":[67],"chose":[69],"set":[71,146,181,212,250],"hyperparameters":[73,157,184,252,293,324],"required":[74],"its":[76,107],"iterative":[77],"CT":[78],"and":[80,185,206,268],"correlation":[82],"coefficient":[83],"(CC)":[84],"score":[85,116,140],"given":[87],"reconstructed":[89,305],"images":[90],"compared":[91,163],"reference":[94],"image.":[95],"A":[96],"one":[101],"generation":[102],"left":[103],"pheromone":[105],"chosen":[108,142],"path":[109],"representing":[110],"choice":[112],"hyperparameters.":[114,148,215],"Higher":[115],"means":[117],"stronger":[118],"pheromones/probabilities":[119],"attract":[121],"more":[122],"next":[126],"generations.":[127],"At":[128],"end":[130],"configuration":[136],"with":[137,164,276],"highest":[139],"as":[143,232,298],"an":[144,261,332],"optimal":[145,249,290],"experimental":[151],"results":[152,165,193,218],"section,":[153],"using":[156,179,210],"from":[158,166,194,253,307],"three":[167],"other":[168],"cases:":[169],"conjugate":[171],"gradient":[172],"least":[173],"square":[174],"(CGLS),":[175],"algorithm":[178,205,209,222,240],"arbitrary":[183,214],"cross-validation":[187,230],"method.The":[188],"experiments":[189],"showed":[190],"were":[198,223],"superior":[199],"those":[201,227],"CGLS":[204],"Although":[216],"ACO":[221,239,280],"slightly":[224],"inferior":[225],"measured":[233],"by":[234],"quantitative":[236],"metrics,":[237],"over":[242],"10":[243],"times":[244],"faster":[245],"than":[246],"cross-Validation.":[247],"also":[258],"robust":[259],"against":[260],"increase":[262],"noise":[264],"can":[269],"be":[270],"applicable":[271],"different":[273],"imaging":[274],"samples":[275],"similar":[277],"context.":[278],"able":[287],"identify":[289],"values":[291],"dataset":[296],"and,":[297],"result,":[300],"produced":[301],"good":[303],"quality":[304],"image":[306],"number":[309],"projection":[311],"data.":[312],"work":[318],"successfully":[319],"solves":[320],"problem":[322],"selection,":[325],"major":[329],"challenge":[330],"implementation":[333],"TV":[335],"algorithms.":[338]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-08T08:33:18.762332","created_date":"2025-10-10T00:00:00"}