{"id":"https://openalex.org/W4401693117","doi":"https://doi.org/10.1109/iwssip62407.2024.10634018","title":"A generative approach to Electrical Impedance Tomography image reconstruction using prior information","display_name":"A generative approach to Electrical Impedance Tomography image reconstruction using prior information","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4401693117","doi":"https://doi.org/10.1109/iwssip62407.2024.10634018"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip62407.2024.10634018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip62407.2024.10634018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 31st International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101065089","display_name":"Hongxi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxi Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083103834","display_name":"Dhiya Al\u2010Jumeily","orcid":"https://orcid.org/0000-0002-9170-0568"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dhiya Al-Jumeily","raw_affiliation_strings":["Liverpool John Moores University,School of Computer Science and Mathematics,Liverpool,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liverpool John Moores University,School of Computer Science and Mathematics,Liverpool,United Kingdom","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083852325","display_name":"Panos Liatsis","orcid":"https://orcid.org/0000-0002-5490-6030"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Panos Liatsis","raw_affiliation_strings":["Khalifa University,Department of Computer Science,Abu Dhabi,United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khalifa University,Department of Computer Science,Abu Dhabi,United Arab Emirates","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9868999719619751,"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":0.9868999719619751,"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":0.9811000227928162,"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/T10320","display_name":"Neural Networks and Applications","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electrical-impedance-tomography","display_name":"Electrical impedance tomography","score":0.8629156947135925},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7207348346710205},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.5869788527488708},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5852483510971069},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5723194479942322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682581067085266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5189499855041504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4968006908893585},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49258118867874146},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.18428722023963928},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16145765781402588},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15086975693702698},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11752423644065857}],"concepts":[{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.8629156947135925},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7207348346710205},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.5869788527488708},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5852483510971069},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5723194479942322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682581067085266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5189499855041504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4968006908893585},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49258118867874146},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.18428722023963928},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16145765781402588},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15086975693702698},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11752423644065857}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip62407.2024.10634018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip62407.2024.10634018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 31st International Conference on Systems, Signals and Image Processing (IWSSIP)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W3211685995","https://openalex.org/W2532315310","https://openalex.org/W2902419700","https://openalex.org/W3160616384","https://openalex.org/W2905540725","https://openalex.org/W4376629886","https://openalex.org/W2000128178","https://openalex.org/W2101428392","https://openalex.org/W2537891456","https://openalex.org/W2215273690"],"abstract_inverted_index":{"A":[0],"core":[1],"challenge":[2],"in":[3,69],"Electrical":[4],"Impedance":[5],"Tomography":[6],"(EIT)":[7],"is":[8,32,40,94],"the":[9,12,23,44,48,65,104,111,119,124,128],"solution":[10],"of":[11,19,36,47,67,110,115,148,155],"inverse":[13],"problem.":[14],"This":[15,61],"relates":[16],"to":[17,43,51,57,83,96],"reconstruction":[18,38,105,112],"conductivity":[20],"images":[21],"from":[22,127],"associated":[24],"voltage":[25],"measurements,":[26],"when":[27,54],"a":[28,74,98,144,151],"current":[29],"injection":[30],"pattern":[31],"applied.":[33],"The":[34,91,107],"success":[35],"traditional":[37],"approaches":[39],"limited":[41],"due":[42],"ill-posed":[45],"nature":[46],"problem,":[49],"leading":[50],"poor":[52],"performance,":[53],"it":[55],"comes":[56],"fine":[58],"image":[59,89],"details.":[60],"research":[62],"focuses":[63],"on":[64],"use":[66],"EIT":[68],"tactile":[70],"sensing.":[71],"It":[72],"proposes":[73],"generative":[75],"adversarial":[76],"network":[77,113],"(GAN),":[78],"trained":[79],"using":[80],"geometric":[81],"shapes,":[82],"leverage":[84],"prior":[85,99,125],"information":[86],"for":[87,102],"improved":[88],"reconstruction.":[90],"GAN":[92,129],"discriminator":[93],"used":[95],"provide":[97],"loss":[100,108,126],"term":[101],"training":[103],"network.":[106],"function":[109],"consists":[114],"two":[116],"terms,":[117],"i.e.,":[118],"mean":[120,145],"squared":[121,146],"error":[122,147],"and":[123,150],"Discriminator,":[130],"respectively.":[131],"Experimental":[132],"results":[133],"demonstrate":[134],"that":[135],"our":[136],"approach":[137],"outperforms":[138],"state-of-the-art":[139],"deep":[140],"learning":[141],"methods,":[142],"achieving":[143],"0.0574":[149],"structural":[152],"similarity":[153],"index":[154],"0.2177.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
