{"id":"https://openalex.org/W4391853670","doi":"https://doi.org/10.1109/tci.2024.3365371","title":"Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography","display_name":"Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391853670","doi":"https://doi.org/10.1109/tci.2024.3365371"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2024.3365371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3365371","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","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/A5018989901","display_name":"Jing Lei","orcid":"https://orcid.org/0000-0002-3976-2817"},"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":"Jing Lei","raw_affiliation_strings":["School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3976-2817","affiliations":[{"raw_affiliation_string":"School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630128","display_name":"Qibin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120320","display_name":"Institute of Engineering Thermophysics","ror":"https://ror.org/031zj0q48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120320"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qibin Liu","raw_affiliation_strings":["Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9390-4903","affiliations":[{"raw_affiliation_string":"Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210120320"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5057,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5587582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"304","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9997000098228455,"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":0.9997000098228455,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9375,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.917900025844574,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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-capacitance-tomography","display_name":"Electrical capacitance tomography","score":0.7871871590614319},{"id":"https://openalex.org/keywords/capacitance","display_name":"Capacitance","score":0.5820075869560242},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5478132367134094},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44867798686027527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3833565413951874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3203003704547882},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.258428692817688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21827727556228638},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16471275687217712},{"id":"https://openalex.org/keywords/electrode","display_name":"Electrode","score":0.09842711687088013}],"concepts":[{"id":"https://openalex.org/C2777418626","wikidata":"https://www.wikidata.org/wiki/Q2584887","display_name":"Electrical capacitance tomography","level":4,"score":0.7871871590614319},{"id":"https://openalex.org/C30066665","wikidata":"https://www.wikidata.org/wiki/Q164399","display_name":"Capacitance","level":3,"score":0.5820075869560242},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5478132367134094},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44867798686027527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3833565413951874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3203003704547882},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.258428692817688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21827727556228638},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16471275687217712},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.09842711687088013},{"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":[{"id":"doi:10.1109/tci.2024.3365371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3365371","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1967956032","https://openalex.org/W1979651953","https://openalex.org/W1979812822","https://openalex.org/W1984011536","https://openalex.org/W1985453570","https://openalex.org/W2004586020","https://openalex.org/W2042597321","https://openalex.org/W2066020965","https://openalex.org/W2069558524","https://openalex.org/W2087416986","https://openalex.org/W2100556411","https://openalex.org/W2106030748","https://openalex.org/W2142058898","https://openalex.org/W2168246956","https://openalex.org/W2515844138","https://openalex.org/W2531859882","https://openalex.org/W2535605529","https://openalex.org/W2573726823","https://openalex.org/W2582639297","https://openalex.org/W2585514839","https://openalex.org/W2599942545","https://openalex.org/W2605715020","https://openalex.org/W2738226240","https://openalex.org/W2746167419","https://openalex.org/W2776616597","https://openalex.org/W2785942661","https://openalex.org/W2788350651","https://openalex.org/W2804478515","https://openalex.org/W2885425652","https://openalex.org/W2895901585","https://openalex.org/W2899313272","https://openalex.org/W2901101316","https://openalex.org/W2904054353","https://openalex.org/W2906428335","https://openalex.org/W2911290743","https://openalex.org/W2919115771","https://openalex.org/W2935926757","https://openalex.org/W2962689221","https://openalex.org/W2963550745","https://openalex.org/W2964088520","https://openalex.org/W2996569757","https://openalex.org/W2998812258","https://openalex.org/W2999268094","https://openalex.org/W2999708269","https://openalex.org/W2999762823","https://openalex.org/W2999823538","https://openalex.org/W3003134479","https://openalex.org/W3006192224","https://openalex.org/W3011223015","https://openalex.org/W3011771465","https://openalex.org/W3033811744","https://openalex.org/W3040793855","https://openalex.org/W3043913145","https://openalex.org/W3047358577","https://openalex.org/W3083021344","https://openalex.org/W3085273913","https://openalex.org/W3097099410","https://openalex.org/W3097646105","https://openalex.org/W3106800919","https://openalex.org/W3107293651","https://openalex.org/W3112965401","https://openalex.org/W3119535973","https://openalex.org/W3120364773","https://openalex.org/W3121412752","https://openalex.org/W3126158429","https://openalex.org/W3133902371","https://openalex.org/W3134880927","https://openalex.org/W3161729901","https://openalex.org/W3171448409","https://openalex.org/W3173974481","https://openalex.org/W3176176313","https://openalex.org/W3179870710","https://openalex.org/W3190023976","https://openalex.org/W3199625109","https://openalex.org/W3212408567","https://openalex.org/W3213617035","https://openalex.org/W4200162047","https://openalex.org/W4205852334","https://openalex.org/W4206295199","https://openalex.org/W4206376991","https://openalex.org/W4206708161","https://openalex.org/W4210535087","https://openalex.org/W4283464038","https://openalex.org/W4293229790","https://openalex.org/W4294691181","https://openalex.org/W4312704643","https://openalex.org/W4312827193","https://openalex.org/W4313483476","https://openalex.org/W4319068678","https://openalex.org/W4361867455","https://openalex.org/W6848925088"],"related_works":["https://openalex.org/W2065013354","https://openalex.org/W1974831921","https://openalex.org/W2362942457","https://openalex.org/W2056641994","https://openalex.org/W2364971604","https://openalex.org/W2009640073","https://openalex.org/W1971900134","https://openalex.org/W1973400749","https://openalex.org/W2393881606","https://openalex.org/W2159232384"],"abstract_inverted_index":{"Despite":[0],"the":[1,10,32,41,56,66,77,81,98,112,128,158,167,171],"impressive":[2],"potential":[3,78,169],"of":[4,44,101,138,154,174],"electrical":[5],"capacitance":[6,124],"tomography":[7],"technology":[8],"in":[9,136],"process":[11],"industry,":[12],"its":[13,22],"application":[14],"is":[15,52,89],"hampered":[16],"by":[17,91],"low-quality":[18],"images.":[19],"To":[20],"unleash":[21],"potential,":[23],"we":[24,68],"propose":[25,69],"a":[26,70,92,104],"new":[27],"fractional":[28,58,93,147],"optimization":[29,59,94,148],"model":[30,95],"with":[31,46,76,84,162],"semi-supervised":[33,47,72,177],"learning":[34,74,178],"prior":[35],"(SSLP)":[36],"for":[37],"imaging,":[38],"which":[39],"synergizes":[40],"physical":[42,99,114,172],"mechanism":[43,100],"measurement":[45,102,175],"learning.":[48],"An":[49],"efficient":[50],"optimizer":[51],"developed":[53],"to":[54,64,79,106,111,160,179],"solve":[55],"proposed":[57,129],"imaging":[60,130,134,149],"model.":[61],"In":[62],"order":[63],"infer":[65],"SSLP,":[67],"physics-constrained":[71],"broad":[73],"system":[75],"reduce":[80],"challenges":[82],"associated":[83],"sample":[85],"collection.":[86],"The":[87,116,146],"training":[88],"formulated":[90],"that":[96,108,127],"integrates":[97],"as":[103],"constraint":[105],"ensure":[107],"predictions":[109],"adhere":[110],"underlying":[113],"significance.":[115],"evaluation":[117],"results":[118],"using":[119],"both":[120],"noisy":[121],"and":[122,143,165,176],"noiseless":[123],"data":[125],"validate":[126],"method":[131,150],"outperforms":[132],"popular":[133],"algorithms":[135],"terms":[137],"noise":[139],"immunity,":[140],"detail":[141],"recovery":[142],"artifact":[144],"removal.":[145],"makes":[151],"effective":[152],"use":[153],"available":[155],"data,":[156],"improves":[157],"ability":[159],"cope":[161],"reconstruction":[163,181],"tasks,":[164],"unlocks":[166],"synergistic":[168],"between":[170],"laws":[173],"improve":[180],"fidelity.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
