iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1016/J.ASOC.2021.107608
{"id":"https://openalex.org/W3168220422","doi":"https://doi.org/10.1016/j.asoc.2021.107608","title":"Graph convolutional networks for enhanced resolution 3D Electrical Capacitance Tomography image reconstruction","display_name":"Graph convolutional networks for enhanced resolution 3D Electrical Capacitance Tomography image reconstruction","publication_year":2021,"publication_date":"2021-06-17","ids":{"openalex":"https://openalex.org/W3168220422","doi":"https://doi.org/10.1016/j.asoc.2021.107608","mag":"3168220422"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.asoc.2021.107608","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5039149575","display_name":"Anna Fabija\u0144ska","orcid":"https://orcid.org/0000-0002-0249-7247"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Anna Fabija\u0144ska","raw_affiliation_strings":["Lodz University of Technology, Institute of Applied Computer Science, 18/22 Stefanowskiego Str. 90-924 Lodz, Poland"],"affiliations":[{"raw_affiliation_string":"Lodz University of Technology, Institute of Applied Computer Science, 18/22 Stefanowskiego Str. 90-924 Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004077113","display_name":"Robert Banasiak","orcid":"https://orcid.org/0000-0002-1234-4949"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Robert Banasiak","raw_affiliation_strings":["Lodz University of Technology, Institute of Applied Computer Science, 18/22 Stefanowskiego Str. 90-924 Lodz, Poland"],"affiliations":[{"raw_affiliation_string":"Lodz University of Technology, Institute of Applied Computer Science, 18/22 Stefanowskiego Str. 90-924 Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039149575"],"corresponding_institution_ids":["https://openalex.org/I188884621"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350,"provenance":"doaj"},"apc_paid":null,"fwci":1.743,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.999983,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":"110","issue":null,"first_page":"107608","last_page":"107608"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical Tomography Techniques","score":0.9997,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11778","display_name":"Electrical Tomography Techniques","score":0.9997,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10378","display_name":"Magnetic Resonance Imaging Applications in Medicine","score":0.9531,"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/T10977","display_name":"Biomedical Optical Imaging and Spectroscopy","score":0.9409,"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/conductivity-imaging","display_name":"Conductivity Imaging","score":0.582669},{"id":"https://openalex.org/keywords/capacitance-tomography","display_name":"Capacitance Tomography","score":0.555912},{"id":"https://openalex.org/keywords/electrical-impedance-tomography","display_name":"Electrical Impedance Tomography","score":0.542038},{"id":"https://openalex.org/keywords/neural-network-reconstruction","display_name":"Neural Network Reconstruction","score":0.539048},{"id":"https://openalex.org/keywords/image-reconstruction-algorithms","display_name":"Image Reconstruction Algorithms","score":0.538711},{"id":"https://openalex.org/keywords/electrical-capacitance-tomography","display_name":"Electrical capacitance tomography","score":0.47345752}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6606684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492425},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.63409865},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.60654896},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6056412},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.48211813},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.47648925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4740607},{"id":"https://openalex.org/C2777418626","wikidata":"https://www.wikidata.org/wiki/Q2584887","display_name":"Electrical capacitance tomography","level":4,"score":0.47345752},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.43177277},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.42840645},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4187206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36201894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34950846},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34693706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22464311},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22382855},{"id":"https://openalex.org/C30066665","wikidata":"https://www.wikidata.org/wiki/Q164399","display_name":"Capacitance","level":3,"score":0.21619508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14646152},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10060033},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.090118736},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.075146735},{"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/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"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":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.asoc.2021.107608","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.58,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"grants":[{"funder":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","award_id":"POIR.04.01.02-00-0089/17-00"}],"datasets":[],"versions":[],"referenced_works_count":68,"referenced_works":["https://openalex.org/W1490135688","https://openalex.org/W1506723017","https://openalex.org/W1534054583","https://openalex.org/W1662382123","https://openalex.org/W1839118408","https://openalex.org/W1885185971","https://openalex.org/W1966555793","https://openalex.org/W1974580613","https://openalex.org/W1982240355","https://openalex.org/W1982343038","https://openalex.org/W1983393449","https://openalex.org/W1995676843","https://openalex.org/W2000241688","https://openalex.org/W2022002298","https://openalex.org/W2041717489","https://openalex.org/W2049772201","https://openalex.org/W2050967852","https://openalex.org/W2055625615","https://openalex.org/W2056129580","https://openalex.org/W2065237622","https://openalex.org/W2084497670","https://openalex.org/W2124113709","https://openalex.org/W2133922432","https://openalex.org/W2144035975","https://openalex.org/W2173027866","https://openalex.org/W2290847742","https://openalex.org/W2352619162","https://openalex.org/W2380255871","https://openalex.org/W2406128552","https://openalex.org/W2468907370","https://openalex.org/W2519887557","https://openalex.org/W2530307286","https://openalex.org/W2558460151","https://openalex.org/W2573214313","https://openalex.org/W2577829094","https://openalex.org/W2594727217","https://openalex.org/W2624431344","https://openalex.org/W2755642197","https://openalex.org/W2756143996","https://openalex.org/W2766453196","https://openalex.org/W2768308213","https://openalex.org/W2772724270","https://openalex.org/W2791092480","https://openalex.org/W2794183899","https://openalex.org/W2804478515","https://openalex.org/W2898375653","https://openalex.org/W2912269676","https://openalex.org/W2914584698","https://openalex.org/W2949755136","https://openalex.org/W2951269536","https://openalex.org/W2952254971","https://openalex.org/W2952667294","https://openalex.org/W2963470893","https://openalex.org/W2963984147","https://openalex.org/W2964015378","https://openalex.org/W2964113829","https://openalex.org/W2995348281","https://openalex.org/W2999052578","https://openalex.org/W3000049806","https://openalex.org/W3010268473","https://openalex.org/W3085246644","https://openalex.org/W3100157108","https://openalex.org/W3177525997","https://openalex.org/W4210257598","https://openalex.org/W4285774390","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W637153065"],"related_works":["https://openalex.org/W2170544729","https://openalex.org/W2157674401","https://openalex.org/W2097442821","https://openalex.org/W2090093661","https://openalex.org/W2061980133","https://openalex.org/W2058033086","https://openalex.org/W2031832834","https://openalex.org/W2021076685","https://openalex.org/W1974104633","https://openalex.org/W1519688086"],"abstract_inverted_index":{"Three":[0],"dimensional":[1],"Electrical":[2],"Capacitance":[3],"Tomography":[4],"(3D":[5],"ECT)":[6],"is":[7,42,63,136],"an":[8,128],"inexpensive":[9],"tool":[10],"for":[11],"diagnosing":[12],"non-conductive":[13],"components":[14],"of":[15,31,96,145],"industrial":[16],"processes.":[17],"Although":[18],"relatively":[19],"mature,":[20],"it":[21,93],"still":[22],"requires":[23],"much":[24],"work":[25,78],"to":[26,67,85,99,114],"improve":[27],"its":[28,176],"inverse":[29],"nature":[30],"imaging":[32],"capability.":[33],"In":[34],"particular,":[35],"high":[36],"resolution":[37,171,185],"3D":[38,51,88,116,172],"ECT":[39,52,89,117,129,173],"image":[40,53,90,150,174,182],"reconstruction":[41,54,151],"very":[43],"time-consuming":[44],"and":[45,48,155,178,184,194,202],"computationally":[46],"heavy,":[47],"the":[49,87,107],"best-known":[50],"techniques":[55],"have":[56],"already":[57],"reached":[58],"their":[59],"limits.":[60],"Thus,":[61],"there":[62],"a":[64,69,125,140,156,162,164],"strong":[65],"need":[66],"change":[68],"direction":[70],"towards":[71],"modern":[72],"computational":[73],"intelligence":[74],"solutions.":[75],"Therefore,":[76],"this":[77],"proposes":[79],"using":[80,189],"graph":[81,126],"convolutional":[82],"networks":[83],"(GCN)":[84],"raise":[86],"quality.":[91],"Mainly,":[92],"takes":[94],"advantage":[95],"GCN's":[97],"ability":[98],"effectively":[100],"use":[101],"specific":[102],"geometrical":[103],"relationships":[104,120],"hidden":[105],"in":[106,139],"finite":[108,131],"modeling":[109],"unstructured":[110],"grids":[111],"commonly":[112],"used":[113],"build":[115],"images.":[118],"These":[119],"are":[121],"first":[122],"encoded":[123],"by":[124,200],"representing":[127,147],"volumetric":[130],"element":[132],"grid.":[133],"A":[134],"GCN":[135,166],"next":[137],"trained":[138,165],"graph-to-graph":[141],"framework":[142],"with":[143,169],"pairs":[144],"graphs":[146],"high-quality":[148],"nonlinear":[149],"results":[152],"as":[153,159],"input":[154],"simulated":[157],"phantom":[158],"output.":[160],"As":[161],"result,":[163],"model":[167],"fed":[168],"lower":[170],"enhances":[175],"quality":[177,183],"spatial":[179],"resolution.":[180],"Tomographic":[181],"enhancement":[186],"was":[187],"evaluated":[188],"normalized":[190],"mean":[191],"square":[192],"error":[193],"Pearson":[195],"correlation":[196],"coefficient,":[197],"which":[198],"improved":[199],"35.5%":[201],"3.74%,":[203],"respectively.":[204]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3168220422","counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1}],"updated_date":"2024-10-24T18:07:43.171888","created_date":"2021-06-22"}