乐胖代购免代理版

{"id":"https://openalex.org/W4293243599","doi":"https://doi.org/10.1109/tci.2022.3197939","title":"An Adversarial Learning Based Approach for 2D Unknown View Tomography","display_name":"An Adversarial Learning Based Approach for 2D Unknown View Tomography","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293243599","doi":"https://doi.org/10.1109/tci.2022.3197939"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/tci.2022.3197939","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tci.2022.3197939","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014657145","display_name":"Mona Zehni","orcid":"https://orcid.org/0000-0002-0958-356X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mona Zehni","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048820768","display_name":"Zhizhen Zhao","orcid":"https://orcid.org/0000-0003-3594-5840"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhizhen Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.572,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.707371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":90},"biblio":{"volume":"8","issue":null,"first_page":"705","last_page":"720"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9966,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9966,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9885,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9864,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/viewing-angle","display_name":"Viewing angle","score":0.43150795}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6410871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.54484135},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5147},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.49979925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49787736},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48874378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4808034},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.46813545},{"id":"https://openalex.org/C2776694159","wikidata":"https://www.wikidata.org/wiki/Q351676","display_name":"Viewing angle","level":3,"score":0.43150795},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4233712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41450787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40505016},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15074691},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C128019096","wikidata":"https://www.wikidata.org/wiki/Q83341","display_name":"Liquid-crystal display","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/tci.2022.3197939","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/tci.2022.3197939","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306151","funder_display_name":"Alfred P. Sloan Foundation","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":52,"referenced_works":["https://openalex.org/W1492556495","https://openalex.org/W1617956525","https://openalex.org/W1921523184","https://openalex.org/W1972150100","https://openalex.org/W1972312752","https://openalex.org/W1979887666","https://openalex.org/W1985933080","https://openalex.org/W1986304086","https://openalex.org/W2012300893","https://openalex.org/W2023085305","https://openalex.org/W2053860607","https://openalex.org/W2054393756","https://openalex.org/W2092709807","https://openalex.org/W2097469960","https://openalex.org/W2098841537","https://openalex.org/W2104234755","https://openalex.org/W2112308043","https://openalex.org/W2124709258","https://openalex.org/W2132629607","https://openalex.org/W2471490820","https://openalex.org/W2533020866","https://openalex.org/W2553406166","https://openalex.org/W2558974459","https://openalex.org/W2559655401","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2611467245","https://openalex.org/W2743780012","https://openalex.org/W2795777276","https://openalex.org/W2885095822","https://openalex.org/W2887128430","https://openalex.org/W2901019889","https://openalex.org/W2953673612","https://openalex.org/W2962734859","https://openalex.org/W2963099215","https://openalex.org/W2963392702","https://openalex.org/W2970296650","https://openalex.org/W3003776066","https://openalex.org/W3006764191","https://openalex.org/W3015903204","https://openalex.org/W3098281398","https://openalex.org/W3101765447","https://openalex.org/W3103586216","https://openalex.org/W3103645830","https://openalex.org/W3104967842","https://openalex.org/W3161717669","https://openalex.org/W3164179903","https://openalex.org/W3190979825","https://openalex.org/W4212774754","https://openalex.org/W4292363360","https://openalex.org/W4297741916","https://openalex.org/W4298264214"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W3142333283","https://openalex.org/W3123087812","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2968424575","https://openalex.org/W2580650124","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W2004988775"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,56,84,118,135,147,169],"2D":[3],"tomography":[4],"is":[5,17,94],"to":[6,49,70,155,172],"recover":[7,71,174],"an":[8,65],"image":[9,52,73,149,176],"given":[10],"its":[11],"projections":[12,26,58],"from":[13,53,137],"various":[14],"views.":[15],"It":[16,45],"often":[18],"presumed":[19],"that":[20],"viewing":[21,61,76,120,179],"angles":[22,36],"associated":[23],"with":[24,59,87],"the":[25,51,72,75,81,85,88,92,116,119,129,132,144,148,151,167,175,178],"are":[27,37,42],"known":[28,38],"in":[29],"advance.":[30],"Under":[31],"certain":[32],"situations,":[33],"however,":[34],"these":[35],"only":[39],"approximately":[40],"or":[41],"completely":[43],"unknown.":[44],"becomes":[46],"more":[47],"challenging":[48],"reconstruct":[50],"a":[54,98,102,105,156],"collection":[55],"random":[57],"unknown":[60],"directions.":[62],"We":[63],"propose":[64],"adversarial":[66,111],"learning":[67],"based":[68,107],"approach":[69],"and":[74,104,150,158,177],"angle":[77,121,180],"distribution":[78,83,122,153,181],"by":[79],"matching":[80],"empirical":[82],"measurements":[86],"generated":[89],"data.":[90],"Fitting":[91],"distributions":[93],"achieved":[95],"through":[96,123],"solving":[97],"min-max":[99],"game":[100],"between":[101],"generator":[103],"critic":[106],"on":[108],"Wasserstein":[109],"generative":[110],"network":[112],"structure.":[113],"To":[114],"accommodate":[115],"update":[117],"gradient":[124],"back":[125],"propagation,":[126],"we":[127],"approximate":[128],"loss":[130],"using":[131],"Gumbel-Softmax":[133],"reparameterization":[134],"samples":[136],"discrete":[138],"distributions.":[139],"Our":[140,162],"theoretical":[141],"analysis":[142],"verifies":[143],"unique":[145],"recovery":[146],"projection":[152],"up":[154],"rotation":[157],"reflection":[159],"upon":[160],"convergence.":[161],"extensive":[163],"numerical":[164],"experiments":[165],"showcase":[166],"potential":[168],"our":[170],"method":[171],"accurately":[173],"under":[182],"noise":[183],"contamination.":[184]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4293243599","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-01-03T01:31:49.291606","created_date":"2022-08-27"}