{"id":"https://openalex.org/W3208321974","doi":"https://doi.org/10.3390/jimaging7110243","title":"Conditional Invertible Neural Networks for Medical Imaging","display_name":"Conditional Invertible Neural Networks for Medical Imaging","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W3208321974","doi":"https://doi.org/10.3390/jimaging7110243","mag":"3208321974","pmid":"https://pubmed.ncbi.nlm.nih.gov/34821874"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging7110243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7110243","pdf_url":"https://www.mdpi.com/2313-433X/7/11/243/pdf?version=1637146773","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/7/11/243/pdf?version=1637146773","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026709984","display_name":"Alexander Denker","orcid":"https://orcid.org/0000-0002-7265-261X"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]},{"id":"https://openalex.org/I4210141311","display_name":"Staats- und Universit\u00e4tsbibliothek Bremen","ror":"https://ror.org/04cwb1p56","country_code":"DE","type":"archive","lineage":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Denker","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany","University of Bremen > >"],"raw_orcid":"https://orcid.org/0000-0002-7265-261X","affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany","institution_ids":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]},{"raw_affiliation_string":"University of Bremen > >","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029163831","display_name":"Maximilian Schmidt","orcid":"https://orcid.org/0000-0001-8710-1389"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]},{"id":"https://openalex.org/I4210141311","display_name":"Staats- und Universit\u00e4tsbibliothek Bremen","ror":"https://ror.org/04cwb1p56","country_code":"DE","type":"archive","lineage":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Schmidt","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8710-1389","affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany","institution_ids":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086994165","display_name":"Johannes Leuschner","orcid":"https://orcid.org/0000-0001-7361-9523"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]},{"id":"https://openalex.org/I4210141311","display_name":"Staats- und Universit\u00e4tsbibliothek Bremen","ror":"https://ror.org/04cwb1p56","country_code":"DE","type":"archive","lineage":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Leuschner","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7361-9523","affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany","institution_ids":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018483872","display_name":"Peter Maa\u00df","orcid":"https://orcid.org/0000-0003-1448-8345"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]},{"id":"https://openalex.org/I4210141311","display_name":"Staats- und Universit\u00e4tsbibliothek Bremen","ror":"https://ror.org/04cwb1p56","country_code":"DE","type":"archive","lineage":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Maass","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1448-8345","affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bibliothekstr. 5, 28359 Bremen, Germany","institution_ids":["https://openalex.org/I180437899","https://openalex.org/I4210141311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13024813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"11","first_page":"243","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.992900013923645,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.6856808662414551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.639252781867981},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6037424802780151},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5507019758224487},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5422983169555664},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5355859398841858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304856896400452},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5055723190307617},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4917328655719757},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4385872483253479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37535199522972107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36229604482650757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24449387192726135}],"concepts":[{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.6856808662414551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.639252781867981},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6037424802780151},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5507019758224487},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5422983169555664},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5355859398841858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304856896400452},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5055723190307617},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4917328655719757},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4385872483253479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37535199522972107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36229604482650757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24449387192726135},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/jimaging7110243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7110243","pdf_url":"https://www.mdpi.com/2313-433X/7/11/243/pdf?version=1637146773","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:34821874","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34821874","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2110.14520","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.14520","pdf_url":"https://arxiv.org/pdf/2110.14520","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3208321974","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2110.14520.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:doaj.org/article:0a745086f3d24cb58d64562b47d9acde","is_oa":true,"landing_page_url":"https://doaj.org/article/0a745086f3d24cb58d64562b47d9acde","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 7, Iss 11, p 243 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8624162","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8624162","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2110.14520","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2110.14520","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.3390/jimaging7110243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7110243","pdf_url":"https://www.mdpi.com/2313-433X/7/11/243/pdf?version=1637146773","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5217314738","display_name":null,"funder_award_id":"GRK 2224/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7057618848","display_name":null,"funder_award_id":"00.010.2019","funder_id":"https://openalex.org/F4320324316","funder_display_name":"Klaus Tschira Stiftung"},{"id":"https://openalex.org/G829255712","display_name":null,"funder_award_id":"05M20LBB","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320324316","display_name":"Klaus Tschira Stiftung","ror":"https://ror.org/052jep661"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3208321974.pdf"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W299440670","https://openalex.org/W1531455566","https://openalex.org/W1574224119","https://openalex.org/W1583912456","https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W1972150100","https://openalex.org/W1990919278","https://openalex.org/W1998331485","https://openalex.org/W2032616735","https://openalex.org/W2058583833","https://openalex.org/W2082261407","https://openalex.org/W2089441731","https://openalex.org/W2099471712","https://openalex.org/W2104067967","https://openalex.org/W2133027741","https://openalex.org/W2133665775","https://openalex.org/W2140574335","https://openalex.org/W2267126114","https://openalex.org/W2423557781","https://openalex.org/W2574952845","https://openalex.org/W2607406448","https://openalex.org/W2611467245","https://openalex.org/W2737740651","https://openalex.org/W2738743584","https://openalex.org/W2791004381","https://openalex.org/W2887540873","https://openalex.org/W2893749619","https://openalex.org/W2900756484","https://openalex.org/W2901093491","https://openalex.org/W2947708079","https://openalex.org/W2948571844","https://openalex.org/W2948700496","https://openalex.org/W2952020389","https://openalex.org/W2954340342","https://openalex.org/W2962695743","https://openalex.org/W2962897886","https://openalex.org/W2963090522","https://openalex.org/W2963139417","https://openalex.org/W2963226480","https://openalex.org/W2963540976","https://openalex.org/W2963546708","https://openalex.org/W2963636093","https://openalex.org/W2963684275","https://openalex.org/W2964020555","https://openalex.org/W2964121744","https://openalex.org/W2970578216","https://openalex.org/W2970641149","https://openalex.org/W2978079668","https://openalex.org/W2991001610","https://openalex.org/W2992005611","https://openalex.org/W2992035660","https://openalex.org/W2998746225","https://openalex.org/W3003650457","https://openalex.org/W3034279703","https://openalex.org/W3034691513","https://openalex.org/W3035315132","https://openalex.org/W3037238545","https://openalex.org/W3046462119","https://openalex.org/W3094546693","https://openalex.org/W3098020164","https://openalex.org/W3101765447","https://openalex.org/W3103586216","https://openalex.org/W3110257065","https://openalex.org/W3121345697","https://openalex.org/W3129907242","https://openalex.org/W3134238839","https://openalex.org/W3155140410","https://openalex.org/W3157843833","https://openalex.org/W3158639914","https://openalex.org/W3159590975","https://openalex.org/W3162339870","https://openalex.org/W3172949370","https://openalex.org/W3199585919","https://openalex.org/W4242259929","https://openalex.org/W4249470275","https://openalex.org/W4298264214","https://openalex.org/W4301802631","https://openalex.org/W6631190155","https://openalex.org/W6634249487","https://openalex.org/W6640963894","https://openalex.org/W6714644935","https://openalex.org/W6752308509","https://openalex.org/W6752910514","https://openalex.org/W6767156836","https://openalex.org/W6769760422","https://openalex.org/W6774072245","https://openalex.org/W7038361350"],"related_works":["https://openalex.org/W3213139598","https://openalex.org/W3118294324","https://openalex.org/W2788766568","https://openalex.org/W3179592584","https://openalex.org/W2982056970","https://openalex.org/W3098020164","https://openalex.org/W2964850033","https://openalex.org/W3036373797","https://openalex.org/W3122499440","https://openalex.org/W3102025760","https://openalex.org/W3033523551","https://openalex.org/W2898371090","https://openalex.org/W2789980315","https://openalex.org/W3085756901","https://openalex.org/W2950788731","https://openalex.org/W2997320962","https://openalex.org/W2995639611","https://openalex.org/W3108553220","https://openalex.org/W3173681845","https://openalex.org/W2890771407"],"abstract_inverted_index":{"Over":[0],"recent":[1],"years,":[2],"deep":[3],"learning":[4],"methods":[5,26],"have":[6,27],"become":[7],"an":[8],"increasingly":[9],"popular":[10],"choice":[11,117],"for":[12,37,108],"solving":[13],"tasks":[14],"from":[15],"the":[16,38,43,49,105,116,124],"field":[17],"of":[18,22,45,51,87,118,126],"inverse":[19,47],"problems.":[20],"Many":[21],"these":[23],"new":[24],"data-driven":[25],"produced":[28],"impressive":[29],"results,":[30],"although":[31],"most":[32,97],"only":[33],"give":[34],"point":[35],"estimates":[36],"reconstruction.":[39],"However,":[40],"especially":[41],"in":[42],"analysis":[44],"ill-posed":[46],"problems,":[48],"study":[50],"uncertainties":[52],"is":[53,102],"essential.":[54],"In":[55,96],"our":[56],"work,":[57],"we":[58],"apply":[59],"generative":[60],"flow-based":[61,110],"models":[62],"based":[63],"on":[64],"invertible":[65,88],"neural":[66,89],"networks":[67,90],"to":[68],"two":[69],"challenging":[70],"medical":[71,80],"imaging":[72],"tasks,":[73],"i.e.,":[74],"low-dose":[75],"computed":[76],"tomography":[77],"and":[78,91],"accelerated":[79],"resonance":[81],"imaging.":[82],"We":[83],"test":[84],"different":[85],"architectures":[86],"provide":[92],"extensive":[93],"ablation":[94],"studies.":[95],"applications,":[98],"a":[99,109,119],"standard":[100],"Gaussian":[101],"used":[103],"as":[104],"base":[106],"distribution":[107,121],"model.":[111],"Our":[112],"results":[113],"show":[114],"that":[115],"radial":[120],"can":[122],"improve":[123],"quality":[125],"reconstructions.":[127]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
