{"id":"https://openalex.org/W2994412849","doi":"https://doi.org/10.1109/idaacs.2019.8924353","title":"Using Clustering Analysis for Determination of Scattering Kernels in X-ray Imaging","display_name":"Using Clustering Analysis for Determination of Scattering Kernels in X-ray Imaging","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2994412849","doi":"https://doi.org/10.1109/idaacs.2019.8924353","mag":"2994412849"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs.2019.8924353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2019.8924353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5016788393","display_name":"A. Y. Danyk","orcid":"https://orcid.org/0000-0002-9201-0067"},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Anton Danyk","raw_affiliation_strings":["Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038381349","display_name":"Serhii Radchenko","orcid":null},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Serhii Radchenko","raw_affiliation_strings":["Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110617748","display_name":"Andrii Netreba","orcid":null},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Andrii Netreba","raw_affiliation_strings":["Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071770383","display_name":"Oleksandr Sudakov","orcid":"https://orcid.org/0000-0002-6588-1801"},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oleksandr Sudakov","raw_affiliation_strings":["Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Faculty of Radiophysics, Electronics and Computer Systems, National Taras Shevchenko University of Kyiv, Kyiv, Ukraine","institution_ids":["https://openalex.org/I189238007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016788393"],"corresponding_institution_ids":["https://openalex.org/I189238007"],"apc_list":null,"apc_paid":null,"fwci":0.6773,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72916972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"215"},"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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/kernel","display_name":"Kernel (algebra)","score":0.7302049398422241},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7060208320617676},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.643295168876648},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6390805840492249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5705341696739197},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5630126595497131},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5021936893463135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49817442893981934},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.47701048851013184},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4227394461631775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3809055685997009},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2915419340133667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28753018379211426},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2333475649356842},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09082275629043579},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08809784054756165},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07268005609512329},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07152026891708374}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7302049398422241},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7060208320617676},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.643295168876648},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6390805840492249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5705341696739197},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5630126595497131},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5021936893463135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49817442893981934},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.47701048851013184},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4227394461631775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3809055685997009},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2915419340133667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28753018379211426},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2333475649356842},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09082275629043579},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08809784054756165},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07268005609512329},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07152026891708374},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs.2019.8924353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2019.8924353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1523669306","https://openalex.org/W1578986447","https://openalex.org/W1604761457","https://openalex.org/W1913193083","https://openalex.org/W1964091913","https://openalex.org/W2002849978","https://openalex.org/W2027095034","https://openalex.org/W2073585401","https://openalex.org/W2076911964","https://openalex.org/W2077324702","https://openalex.org/W2077699569","https://openalex.org/W2309067198","https://openalex.org/W2314011793","https://openalex.org/W2414011583","https://openalex.org/W2619077856","https://openalex.org/W2625163899","https://openalex.org/W2767545616","https://openalex.org/W2793826529","https://openalex.org/W3105613014"],"related_works":["https://openalex.org/W2170853726","https://openalex.org/W1486810997","https://openalex.org/W4205536354","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Method":[0],"for":[1,14],"obtaining":[2],"the":[3,43,74,82,85],"optimal":[4],"number":[5],"of":[6,42,56,65,84],"convolution":[7],"(superposition)":[8],"kernels":[9],"in":[10,59],"algorithmic":[11],"scatter":[12],"correction":[13],"X-ray":[15,60],"imaging":[16,61],"has":[17],"been":[18],"tested":[19],"using":[20,53],"different":[21],"mathematical":[22],"phantoms.":[23],"This":[24],"method":[25],"was":[26],"previously":[27],"proposed":[28],"by":[29],"authors":[30],"and":[31,37],"is":[32,78],"based":[33],"on":[34],"clustering":[35],"analysis":[36],"realistic":[38,54],"Monte-Carlo":[39],"simulation.":[40],"Results":[41],"algorithm":[44],"application":[45,51],"were":[46],"compared":[47],"to":[48,73],"anti-scatter":[49,86],"grid":[50,87],"results":[52,83],"simulation":[55],"physical":[57],"processes":[58],"system.":[62],"Optimal":[63],"determination":[64],"kernel":[66],"function":[67],"provides":[68],"15-20%":[69],"contrast":[70],"increase":[71],"relative":[72],"uncorrected":[75],"image":[76],"that":[77],"10%":[79],"better":[80],"than":[81],"application.":[88]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
