{"id":"https://openalex.org/W3025051614","doi":"https://doi.org/10.1109/i2mtc43012.2020.9128764","title":"Deep Learning Based Cell Imaging with Electrical Impedance Tomography","display_name":"Deep Learning Based Cell Imaging with Electrical Impedance Tomography","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3025051614","doi":"https://doi.org/10.1109/i2mtc43012.2020.9128764","mag":"3025051614"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc43012.2020.9128764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9128764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/files/237686059/DL2I2MTC.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072365791","display_name":"Chen Zhou","orcid":"https://orcid.org/0000-0003-0191-1386"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhou Chen","raw_affiliation_strings":["Agile Tomography Group, School of Engineering, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Agile Tomography Group, School of Engineering, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044092715","display_name":"Yunjie Yang","orcid":"https://orcid.org/0000-0002-5797-9753"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yunjie Yang","raw_affiliation_strings":["Agile Tomography Group, School of Engineering, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Agile Tomography Group, School of Engineering, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058004272","display_name":"Jiabin Jia","orcid":"https://orcid.org/0000-0001-5073-5126"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiabin Jia","raw_affiliation_strings":["Agile Tomography Group, School of Engineering, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Agile Tomography Group, School of Engineering, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000415690","display_name":"Pierre Bagnaninchi","orcid":"https://orcid.org/0000-0001-5433-9630"},"institutions":[{"id":"https://openalex.org/I4210108209","display_name":"MRC Centre for Regenerative Medicine","ror":"https://ror.org/01x802g65","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210087105","https://openalex.org/I4210108209","https://openalex.org/I90344618","https://openalex.org/I98677209"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pierre Bagnaninchi","raw_affiliation_strings":["MRC Centre for Regenerative Medicine, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"MRC Centre for Regenerative Medicine, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I4210108209","https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072365791"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":2.1847,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.8790925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11255","display_name":"Microfluidic and Bio-sensing Technologies","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9854000210762024,"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/electrical-impedance-tomography","display_name":"Electrical impedance tomography","score":0.8743401765823364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7454356551170349},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7406579256057739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6833912134170532},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6587562561035156},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.514204740524292},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5094020962715149},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.485725462436676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43998560309410095},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.431820273399353},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3733828067779541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37125149369239807},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.32086828351020813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08600452542304993}],"concepts":[{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.8743401765823364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7454356551170349},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7406579256057739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6833912134170532},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6587562561035156},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.514204740524292},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5094020962715149},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.485725462436676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43998560309410095},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.431820273399353},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3733828067779541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37125149369239807},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.32086828351020813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08600452542304993},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/i2mtc43012.2020.9128764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9128764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/1633242a-da19-4f19-87ff-b489743fbcd9","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/1633242a-da19-4f19-87ff-b489743fbcd9","pdf_url":"https://www.research.ed.ac.uk/files/237686059/DL2I2MTC.pdf","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, Z, Yang, Y, Jia, J & Bagnaninchi, P 2020, Deep Learning Based Cell Imaging with Electrical Impedance Tomography. in 2020 IEEE Instrumentation and Measurement Technology Conference (I2MTC). Institute of Electrical and Electronics Engineers, 2020 IEEE International Instrumentation and Measurement Technology Conference, Dubrovnik, Croatia, 25/05/20. https://doi.org/10.1109/I2MTC43012.2020.9128764","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/1633242a-da19-4f19-87ff-b489743fbcd9","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/1633242a-da19-4f19-87ff-b489743fbcd9","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/1633242a-da19-4f19-87ff-b489743fbcd9","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/1633242a-da19-4f19-87ff-b489743fbcd9","pdf_url":"https://www.research.ed.ac.uk/files/237686059/DL2I2MTC.pdf","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, Z, Yang, Y, Jia, J & Bagnaninchi, P 2020, Deep Learning Based Cell Imaging with Electrical Impedance Tomography. in 2020 IEEE Instrumentation and Measurement Technology Conference (I2MTC). Institute of Electrical and Electronics Engineers, 2020 IEEE International Instrumentation and Measurement Technology Conference, Dubrovnik, Croatia, 25/05/20. https://doi.org/10.1109/I2MTC43012.2020.9128764","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G745719754","display_name":null,"funder_award_id":"EP/P001661/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G780682132","display_name":null,"funder_award_id":"EP/P006833/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3025051614.pdf","grobid_xml":"https://content.openalex.org/works/W3025051614.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W68876179","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1970341134","https://openalex.org/W1992312940","https://openalex.org/W1998025986","https://openalex.org/W2131100802","https://openalex.org/W2138838870","https://openalex.org/W2553287852","https://openalex.org/W2608090923","https://openalex.org/W2782482412","https://openalex.org/W2783469501","https://openalex.org/W2803224943","https://openalex.org/W2804478515","https://openalex.org/W2896344704","https://openalex.org/W2943579642","https://openalex.org/W2964121744","https://openalex.org/W3009250710","https://openalex.org/W3122482465","https://openalex.org/W4255421341","https://openalex.org/W6631190155","https://openalex.org/W6761651708"],"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/W2752613076"],"abstract_inverted_index":{"Monitoring":[0],"the":[1,51,59,112,120,141,154,158],"3-D":[2],"cell":[3,40,175],"culture":[4],"process":[5],"or":[6],"drug":[7],"responses":[8],"non-destructively":[9],"using":[10],"Electrical":[11],"Impedance":[12],"Tomography":[13],"(EIT)":[14],"is":[15,90,128,143],"an":[16,108],"emerging":[17],"topic":[18],"in":[19,33],"biomedical":[20],"imaging.":[21,41],"Significant":[22],"efforts":[23],"have":[24],"been":[25],"spent":[26],"on":[27,75],"developing":[28],"EIT":[29,160],"image":[30,48,78],"reconstruction":[31],"algorithms":[32,161],"order":[34],"to":[35,71,119,131,166],"achieve":[36],"robust":[37],"and":[38,46,80,115,147,162],"high-quality":[39],"The":[42,138,150],"considerable":[43],"computation":[44],"time":[45],"imperfect":[47],"quality":[49],"are":[50],"main":[52],"issues":[53],"of":[54,61,111,140,171],"these":[55],"conventional":[56],"methods":[57],"whereas":[58],"emergence":[60],"deep":[62,87],"learning":[63,88],"techniques":[64],"point":[65],"out":[66],"a":[67,85,94,99],"new":[68,103],"direction":[69],"due":[70],"its":[72],"fast":[73],"inferences":[74],"object":[76],"detection,":[77],"segmentation":[79],"classification.":[81],"In":[82],"this":[83,135],"paper,":[84],"novel":[86,125],"architecture":[89,104],"proposed":[91,130,155],"by":[92,145],"adding":[93],"fully":[95],"connected":[96],"layer":[97],"before":[98],"U-Net":[100],"structure.":[101],"This":[102],"will":[105],"first":[106],"generate":[107],"initial":[109,136],"guess":[110],"conductivity":[113],"distribution":[114],"then":[116],"feed":[117],"it":[118],"following":[121],"denoising":[122],"model.":[123],"A":[124],"initialization":[126],"strategy":[127],"also":[129],"further":[132],"help":[133],"obtain":[134],"guess.":[137],"performance":[139],"method":[142],"verified":[144],"simulation":[146],"experimental":[148],"data.":[149],"results":[151],"show":[152],"that":[153],"model":[156],"outperforms":[157],"state-of-the-art":[159],"can":[163],"generalize":[164],"well":[165],"reconstruct":[167],"unseen":[168],"cases":[169],"consisting":[170],"human":[172],"breast":[173],"cancer":[174],"pellet.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}