{"id":"https://openalex.org/W4366386389","doi":"https://doi.org/10.1109/tim.2023.3268444","title":"Simultaneous Conductivity and Permeability Reconstructions for Electromagnetic Tomography Using Deep Learning","display_name":"Simultaneous Conductivity and Permeability Reconstructions for Electromagnetic Tomography Using Deep Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366386389","doi":"https://doi.org/10.1109/tim.2023.3268444"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3268444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3268444","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Instrumentation and Measurement","raw_type":"journal-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/A5005798301","display_name":"Wenbiao Zhang","orcid":"https://orcid.org/0000-0001-6358-3109"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbiao Zhang","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6358-3109","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049611803","display_name":"Zexin Zhu","orcid":"https://orcid.org/0000-0002-3592-5236"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexin Zhu","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3592-5236","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024232432","display_name":"Yijian Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijian Geng","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9846-6401","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":2.683,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90944224,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":1.0,"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 and Bioimpedance Tomography","score":1.0,"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/tomography","display_name":"Tomography","score":0.6240145564079285},{"id":"https://openalex.org/keywords/conductivity","display_name":"Conductivity","score":0.600204586982727},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5749870538711548},{"id":"https://openalex.org/keywords/permeability","display_name":"Permeability (electromagnetism)","score":0.5158218741416931},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.50166916847229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4715198278427124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.444638729095459},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4422537386417389},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4099613428115845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35495084524154663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3239995539188385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28493088483810425},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2567409873008728},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24947333335876465},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14157485961914062}],"concepts":[{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.6240145564079285},{"id":"https://openalex.org/C131540310","wikidata":"https://www.wikidata.org/wiki/Q907564","display_name":"Conductivity","level":2,"score":0.600204586982727},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5749870538711548},{"id":"https://openalex.org/C120882062","wikidata":"https://www.wikidata.org/wiki/Q28352","display_name":"Permeability (electromagnetism)","level":3,"score":0.5158218741416931},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.50166916847229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4715198278427124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.444638729095459},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4422537386417389},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4099613428115845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35495084524154663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3239995539188385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28493088483810425},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2567409873008728},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24947333335876465},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14157485961914062},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41625074","wikidata":"https://www.wikidata.org/wiki/Q176088","display_name":"Membrane","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3268444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3268444","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1606756000","display_name":null,"funder_award_id":"62073135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6551067671","display_name":null,"funder_award_id":"3202028","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1488490038","https://openalex.org/W1970341134","https://openalex.org/W1972798646","https://openalex.org/W1975474632","https://openalex.org/W1990919278","https://openalex.org/W1996126948","https://openalex.org/W2036686238","https://openalex.org/W2059825949","https://openalex.org/W2061980133","https://openalex.org/W2066043610","https://openalex.org/W2116818806","https://openalex.org/W2141002303","https://openalex.org/W2152042914","https://openalex.org/W2412782625","https://openalex.org/W2611915393","https://openalex.org/W2735039185","https://openalex.org/W2752782242","https://openalex.org/W2793623685","https://openalex.org/W2804478515","https://openalex.org/W2887017790","https://openalex.org/W2896344704","https://openalex.org/W2990050904","https://openalex.org/W2998812258","https://openalex.org/W3006265495","https://openalex.org/W3046520725","https://openalex.org/W3096947210","https://openalex.org/W3099564553","https://openalex.org/W3102052605","https://openalex.org/W3105636206","https://openalex.org/W3117833210","https://openalex.org/W3204805281","https://openalex.org/W4226206947","https://openalex.org/W4235663875","https://openalex.org/W4285307414","https://openalex.org/W4293242669"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W1544970605","https://openalex.org/W1624163887","https://openalex.org/W4385074335","https://openalex.org/W2026083044","https://openalex.org/W2157415871","https://openalex.org/W2994818057","https://openalex.org/W2626189183","https://openalex.org/W2323264192"],"abstract_inverted_index":{"Electromagnetic":[0],"tomography":[1],"(EMT)":[2],"is":[3,61,81,88,220],"a":[4,54],"research":[5],"hotspot":[6],"in":[7,42,63],"electrical":[8],"tomography,":[9],"which":[10],"has":[11],"wide":[12],"application":[13],"prospect":[14],"for":[15,112,178,195],"multiphase":[16],"flow":[17],"measurement.":[18],"The":[19,133,158],"existing":[20],"EMT":[21,59],"usually":[22],"visualizes":[23],"the":[24,35,43,48,51,67,70,78,85,92,102,108,116,137,154,203,209],"distributions":[25,122,213],"of":[26,38,50,77,118,167,170,174,184,187,191],"conductivity":[27,94,119,196,210],"or":[28],"permeability":[29,96,121,179,212],"separately.":[30],"In":[31],"order":[32],"to":[33,90],"realize":[34],"simultaneous":[36],"imaging":[37,79],"different":[39],"electromagnetic":[40],"characteristics":[41],"measurement":[44],"area":[45,80],"and":[46,73,95,115,120,126,129,150,156,172,182,189,211],"improve":[47],"quality":[49],"reconstructed":[52,135,216],"images,":[53],"deep":[55],"learning":[56],"based":[57],"multi-parameter":[58],"method":[60,164,205],"proposed":[62,204],"this":[64],"paper.":[65],"Firstly,":[66],"information":[68],"from":[69,145],"mutual":[71],"inductance":[72],"magnetic":[74],"induction":[75],"intensity":[76],"measured":[82],"respectively.":[83],"Then,":[84],"Landweber":[86],"algorithm":[87],"used":[89],"reconstruct":[91],"initial":[93,103],"images":[97,104,117,134],"using":[98],"above":[99],"measurements.":[100],"Finally,":[101],"are":[105,131,141],"input":[106],"into":[107],"improved":[109,138],"DeepLabv3":[110,139],"network":[111,140],"image":[113],"segmentation":[114],"with":[123,143,214],"clear":[124],"boundary":[125],"accurate":[127],"size":[128],"position":[130],"output.":[132],"by":[136],"compared":[142],"those":[144],"traditional":[146],"methods,":[147],"UNet++,":[148],"LinkNet":[149],"PAN":[151],"networks":[152],"through":[153],"simulation":[155],"experiment.":[157],"experimental":[159],"results":[160,200],"show":[161],"that":[162,202],"our":[163],"achieves":[165],"RMSE":[166,183],"0.1667,":[168],"CC":[169,186],"0.6984":[171],"SSIM":[173,190],"0.6542":[175],"on":[176,193],"average":[177,194],"distribution":[180,197],"reconstruction,":[181],"0.1907,":[185],"0.7791":[188],"0.7538":[192],"reconstruction.":[198],"These":[199],"prove":[201],"can":[206],"simultaneously":[207],"obtain":[208],"high-quality":[215],"images.":[217],"Our":[218],"code":[219],"publicly":[221],"available":[222],"at":[223],"https://github.com/Tougerr/Landweber-DLv3.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
