{"id":"https://openalex.org/W4392684080","doi":"https://doi.org/10.1117/12.3000686","title":"Neural network uncertainty quantification in inverse imaging problems based on cycle consistency","display_name":"Neural network uncertainty quantification in inverse imaging problems based on cycle consistency","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4392684080","doi":"https://doi.org/10.1117/12.3000686"},"language":"en","primary_location":{"id":"doi:10.1117/12.3000686","doi":"https://doi.org/10.1117/12.3000686","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.3000686","pdf_url":null,"source":{"id":"https://openalex.org/S7407104741","display_name":"AI and Optical Data Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI and Optical Data Sciences V","raw_type":"proceedings-article"},"volume":null,"type":"conference-abstract","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/A5047909906","display_name":"Luzhe Huang","orcid":"https://orcid.org/0000-0003-3505-0617","observed_orcids":["https://orcid.org/0000-0003-3505-0617"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luzhe Huang","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402797","display_name":"Jianing Li","orcid":"https://orcid.org/0000-0001-9552-2247","observed_orcids":["https://orcid.org/0000-0001-9552-2247"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianing Li","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043445627","display_name":"Xiaofu Ding","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofu Ding","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610201","display_name":"Yijie Zhang","orcid":"https://orcid.org/0009-0000-2376-9267","observed_orcids":["https://orcid.org/0009-0000-2376-9267"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijie Zhang","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743714","display_name":"Hanlong Chen","orcid":"https://orcid.org/0000-0002-3020-3357","observed_orcids":["https://orcid.org/0000-0002-3020-3357"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanlong Chen","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016207990","display_name":"Aydogan \u00d6zcan","orcid":"https://orcid.org/0000-0002-0717-683X","observed_orcids":["https://orcid.org/0000-0002-0717-683X"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aydogan Ozcan","raw_affiliation_strings":["UCLA Samueli School of Engineering (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA Samueli School of Engineering (United States)","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8407999873161316,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8407999873161316,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0272000003606081,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.021700000390410423,"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/uncertainty-quantification","display_name":"uncertainty quantification","score":0.9409999847412109},{"id":"https://openalex.org/keywords/inverse-problems-in-imaging","display_name":"imaging inverse problems","score":0.8230000138282776},{"id":"https://openalex.org/keywords/cycle-consistency","display_name":"cycle consistency","score":0.9359999895095825},{"id":"https://openalex.org/keywords/neural-network-robustness","display_name":"neural network robustness","score":0.7059999704360962},{"id":"https://openalex.org/keywords/out-of-distribution-detection","display_name":"out-of-distribution detection","score":0.9520000219345093},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8149999976158142},{"id":"https://openalex.org/keywords/image-deblurring","display_name":"image deblurring","score":0.859000027179718},{"id":"https://openalex.org/keywords/image-super-resolution","display_name":"image super-resolution","score":0.9620000123977661},{"id":"https://openalex.org/keywords/distribution-shift","display_name":"distribution shift","score":0.6650000214576721}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6536732912063599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5909193754196167},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5379233360290527},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5322166681289673},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5187123417854309},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45207974314689636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3777599036693573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2605316638946533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2240934669971466},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.3000686","doi":"https://doi.org/10.1117/12.3000686","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.3000686","pdf_url":null,"source":{"id":"https://openalex.org/S7407104741","display_name":"AI and Optical Data Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI and Optical Data Sciences V","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4402270501","https://openalex.org/W4389299135","https://openalex.org/W3198619676","https://openalex.org/W6963220191","https://openalex.org/W3050342786","https://openalex.org/W2786712888","https://openalex.org/W4312754966","https://openalex.org/W3193911977","https://openalex.org/W4307073455","https://openalex.org/W4416611590"],"abstract_inverted_index":{"We":[0,17],"demonstrate":[1],"a":[2],"simple":[3],"yet":[4],"highly":[5],"effective":[6],"uncertainty":[7,41,49,60],"quantification":[8],"method":[9,81],"for":[10,64],"neural":[11,97],"networks":[12],"solving":[13],"inverse":[14],"imaging":[15],"problems.":[16],"built":[18],"forward-backward":[19],"cycles":[20],"utilizing":[21],"the":[22,27,31,39,59],"physical":[23],"forward":[24],"model":[25],"and":[26,42,47,71,90],"trained":[28,63],"network,":[29],"derived":[30],"relationship":[32],"of":[33,44],"cycle":[34],"consistency":[35],"with":[36],"respect":[37],"to":[38,75],"robustness,":[40],"bias":[43],"network":[45],"inference,":[46],"obtained":[48],"estimators":[50,61],"through":[51],"regression":[52],"analysis.":[53],"An":[54],"XGBoost":[55],"classifier":[56],"based":[57],"on":[58,84],"was":[62,82],"out-of-distribution":[65,85],"detection":[66,86],"using":[67],"artificial":[68],"noise-injected":[69],"images,":[70],"it":[72],"successfully":[73],"generalized":[74],"unseen":[76],"real-world":[77],"distribution":[78],"shifts.":[79],"Our":[80],"validated":[83],"in":[87],"image":[88,91],"deblurring":[89],"super-resolution":[92],"tasks,":[93],"outperforming":[94],"other":[95],"deep":[96],"network-based":[98],"models.":[99]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2024-03-13T00:00:00"}
