{"id":"https://openalex.org/W3188883246","doi":"https://doi.org/10.3390/e23081005","title":"Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures","display_name":"Noise-Robust Image Reconstruction Based on Minimizing Extended Class of Power-Divergence Measures","publication_year":2021,"publication_date":"2021-07-31","ids":{"openalex":"https://openalex.org/W3188883246","doi":"https://doi.org/10.3390/e23081005","mag":"3188883246","pmid":"https://pubmed.ncbi.nlm.nih.gov/34441145"},"language":"en","primary_location":{"id":"doi:10.3390/e23081005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23081005","pdf_url":"https://www.mdpi.com/1099-4300/23/8/1005/pdf?version=1627884370","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","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/1099-4300/23/8/1005/pdf?version=1627884370","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037020813","display_name":"Ryosuke Kasai","orcid":"https://orcid.org/0000-0002-4699-1642"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Kasai","raw_affiliation_strings":["Graduate School of Health Sciences, Tokushima University, 3-18-15 Kuramoto, Tokushima 770-8509, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4699-1642","affiliations":[{"raw_affiliation_string":"Graduate School of Health Sciences, Tokushima University, 3-18-15 Kuramoto, Tokushima 770-8509, Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007568553","display_name":"Yusaku Yamaguchi","orcid":"https://orcid.org/0000-0001-8303-828X"},"institutions":[{"id":"https://openalex.org/I4210137409","display_name":"National Hospital Organization","ror":"https://ror.org/03ntccx93","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210137409"]},{"id":"https://openalex.org/I4210160710","display_name":"Shikoku Medical Center for Children and Adults","ror":"https://ror.org/05jreb977","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210137409","https://openalex.org/I4210160710"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusaku Yamaguchi","raw_affiliation_strings":["Shikoku Medical Center for Children and Adults, National Hospital Organization, 2-1-1 Senyu, Zentsuji 765-8507, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8303-828X","affiliations":[{"raw_affiliation_string":"Shikoku Medical Center for Children and Adults, National Hospital Organization, 2-1-1 Senyu, Zentsuji 765-8507, Japan","institution_ids":["https://openalex.org/I4210160710","https://openalex.org/I4210137409"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086574292","display_name":"Takeshi Kojima","orcid":"https://orcid.org/0000-0001-8612-5362"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Kojima","raw_affiliation_strings":["Institute of Biomedical Sciences, Tokushima University, 3-18-15 Kuramoto, Tokushima 770-8509, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8612-5362","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Sciences, Tokushima University, 3-18-15 Kuramoto, Tokushima 770-8509, Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038288572","display_name":"Omar M. Abou Al-Ola","orcid":"https://orcid.org/0000-0002-7883-676X"},"institutions":[{"id":"https://openalex.org/I21376657","display_name":"Tanta University","ror":"https://ror.org/016jp5b92","country_code":"EG","type":"education","lineage":["https://openalex.org/I21376657"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Omar M. Abou Al-Ola","raw_affiliation_strings":["Faculty of Science, Tanta University, El-Giesh Street, Tanta 31527, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-7883-676X","affiliations":[{"raw_affiliation_string":"Faculty of Science, Tanta University, El-Giesh Street, Tanta 31527, Egypt","institution_ids":["https://openalex.org/I21376657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007113848","display_name":"Tetsuya Yoshinaga","orcid":"https://orcid.org/0000-0003-4994-0522"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuya Yoshinaga","raw_affiliation_strings":["Institute of Biomedical Sciences, Tokushima University, 3-18-15 Kuramoto, Tokushima 770-8509, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4994-0522","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Sciences, Tokushima University, 3-18-15 Kuramoto, Tokushima 770-8509, Japan","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007113848"],"corresponding_institution_ids":["https://openalex.org/I922474255"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.1469,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78128896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":"8","first_page":"1005","last_page":"1005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.600710928440094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5826510787010193},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5295563340187073},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5154100656509399},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.505765438079834},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.49141013622283936},{"id":"https://openalex.org/keywords/entropy-maximization","display_name":"Entropy maximization","score":0.43619608879089355},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.428035169839859},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.42479363083839417},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4242563843727112},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4155277609825134},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41301488876342773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3288130760192871},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.3226318657398224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22216475009918213}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.600710928440094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5826510787010193},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5295563340187073},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5154100656509399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.505765438079834},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.49141013622283936},{"id":"https://openalex.org/C127233936","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Entropy maximization","level":3,"score":0.43619608879089355},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.428035169839859},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.42479363083839417},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4242563843727112},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4155277609825134},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41301488876342773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3288130760192871},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.3226318657398224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22216475009918213},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e23081005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23081005","pdf_url":"https://www.mdpi.com/1099-4300/23/8/1005/pdf?version=1627884370","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:34441145","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34441145","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:5941a80eec7d41a19d25549b5ea0395b","is_oa":true,"landing_page_url":"https://doaj.org/article/5941a80eec7d41a19d25549b5ea0395b","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":"Entropy, Vol 23, Iss 8, p 1005 (2021)","raw_type":"article"},{"id":"pmh:oai:irdb.nii.ac.jp:00906:0006780995","is_oa":true,"landing_page_url":"https://tokushima-u.repo.nii.ac.jp/records/2009081","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"doctoral thesis"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/8/1005/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23081005","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":"Entropy; Volume 23; Issue 8; Pages: 1005","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8394634","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8394634","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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23081005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23081005","pdf_url":"https://www.mdpi.com/1099-4300/23/8/1005/pdf?version=1627884370","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G704683161","display_name":"Development of a Dynamic Intensity-Modulated Radiation Therapy Planning Method Based on Multi-Objective Dose-Volume Constraints","funder_award_id":"21K04080","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3188883246.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W79147804","https://openalex.org/W156278655","https://openalex.org/W1625216228","https://openalex.org/W1665595036","https://openalex.org/W1751784691","https://openalex.org/W1965555277","https://openalex.org/W1976833053","https://openalex.org/W1977926691","https://openalex.org/W1978037192","https://openalex.org/W1990919278","https://openalex.org/W1992951464","https://openalex.org/W1993474563","https://openalex.org/W1999320095","https://openalex.org/W2003515126","https://openalex.org/W2011436546","https://openalex.org/W2019714296","https://openalex.org/W2020926303","https://openalex.org/W2028022249","https://openalex.org/W2029030476","https://openalex.org/W2037521346","https://openalex.org/W2039472483","https://openalex.org/W2050937983","https://openalex.org/W2069629287","https://openalex.org/W2070102111","https://openalex.org/W2079352884","https://openalex.org/W2081985429","https://openalex.org/W2084238990","https://openalex.org/W2104076795","https://openalex.org/W2105406072","https://openalex.org/W2110271626","https://openalex.org/W2117890631","https://openalex.org/W2131940723","https://openalex.org/W2133665775","https://openalex.org/W2134306264","https://openalex.org/W2143129785","https://openalex.org/W2154679219","https://openalex.org/W2154744699","https://openalex.org/W2269625376","https://openalex.org/W2338328059","https://openalex.org/W2343816309","https://openalex.org/W2487292604","https://openalex.org/W2743120499","https://openalex.org/W2939132431","https://openalex.org/W2995021784","https://openalex.org/W3100636728","https://openalex.org/W4234086697","https://openalex.org/W4294841944","https://openalex.org/W6772201882"],"related_works":["https://openalex.org/W2614538623","https://openalex.org/W2107386309","https://openalex.org/W2951493954","https://openalex.org/W2545869789","https://openalex.org/W2073182819","https://openalex.org/W2141090006","https://openalex.org/W2165173554","https://openalex.org/W2251843845","https://openalex.org/W1573157486","https://openalex.org/W1964555484"],"abstract_inverted_index":{"The":[0],"problem":[1,12],"of":[2,13,50,59,92,113,134],"tomographic":[3],"image":[4,30,142],"reconstruction":[5,31,69,143],"can":[6],"be":[7],"reduced":[8],"to":[9,19,101,165],"an":[10,47,67,78,107],"optimization":[11,83],"finding":[14],"unknown":[15],"pixel":[16],"values":[17],"subject":[18],"minimizing":[20],"the":[21,24,73,82,102,114,118,123,126,135,152],"difference":[22],"between":[23],"measured":[25,166],"and":[26,61,65,149,157],"forward":[27],"projections.":[28],"Iterative":[29],"algorithms":[32],"provide":[33],"significant":[34],"improvements":[35],"over":[36],"transform":[37],"methods":[38],"in":[39],"computed":[40],"tomography.":[41],"In":[42],"this":[43,86],"paper,":[44],"we":[45,88,105],"present":[46],"extended":[48,74],"class":[49],"power-divergence":[51],"measures":[52],"(PDMs),":[53],"which":[54],"includes":[55,122],"a":[56,90,131],"large":[57],"set":[58],"distance":[60],"relative":[62],"entropy":[63],"measures,":[64],"propose":[66],"iterative":[68,108,128],"algorithm":[70,129,154],"based":[71],"on":[72],"PDM":[75],"(EPDM)":[76],"as":[77],"objective":[79],"function":[80,98],"for":[81],"strategy.":[84],"For":[85],"purpose,":[87],"introduce":[89],"system":[91],"nonlinear":[93],"differential":[94],"equations":[95],"whose":[96],"Lyapunov":[97],"is":[99,130],"equivalent":[100],"EPDM.":[103],"Then,":[104],"derive":[106],"formula":[109],"by":[110,168],"multiplicative":[111],"discretization":[112],"continuous-time":[115],"system.":[116],"Since":[117],"parameterized":[119],"EPDM":[120],"family":[121],"Kullback-Leibler":[124],"divergence,":[125],"resulting":[127],"natural":[132],"extension":[133],"maximum-likelihood":[136],"expectation-maximization":[137],"(MLEM)":[138],"method.":[139],"We":[140],"conducted":[141],"experiments":[144],"using":[145],"noisy":[146],"projection":[147],"data":[148],"found":[150],"that":[151,162],"proposed":[153],"outperformed":[155],"MLEM":[156],"could":[158],"reconstruct":[159],"high-quality":[160],"images":[161],"were":[163],"robust":[164],"noise":[167],"properly":[169],"selecting":[170],"parameters.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}