{"id":"https://openalex.org/W4389146134","doi":"https://doi.org/10.1137/23m1552486","title":"Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling","display_name":"Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389146134","doi":"https://doi.org/10.1137/23m1552486"},"language":"en","primary_location":{"id":"doi:10.1137/23m1552486","is_oa":false,"landing_page_url":"https://doi.org/10.1137/23m1552486","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/94663/2/Papafitsoros%20Learning%20Regularization%20Parameter%202023%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010913753","display_name":"Andreas Kofler","orcid":"https://orcid.org/0000-0001-9169-2572"},"institutions":[{"id":"https://openalex.org/I1285933455","display_name":"Physikalisch-Technische Bundesanstalt","ror":"https://ror.org/05r3f7h03","country_code":"DE","type":"government","lineage":["https://openalex.org/I1285933455","https://openalex.org/I4210136623"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Kofler","raw_affiliation_strings":["Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9169-2572","affiliations":[{"raw_affiliation_string":"Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany","institution_ids":["https://openalex.org/I1285933455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022817670","display_name":"Fabian Altekr\u00fcger","orcid":null},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Altekr\u00fcger","raw_affiliation_strings":["Humboldt-Universit\u00e4t zu Berlin, Department of Mathematics, Berlin, Germany","Technische Universit\u00e4t Berlin, Institute of Mathematics, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Humboldt-Universit\u00e4t zu Berlin, Department of Mathematics, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Institute of Mathematics, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020275776","display_name":"Fatima Antarou Ba","orcid":"https://orcid.org/0000-0002-9710-9744"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fatima Antarou Ba","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Institute of Mathematics, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Institute of Mathematics, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046209820","display_name":"Christoph Kolbitsch","orcid":"https://orcid.org/0000-0002-4355-8368"},"institutions":[{"id":"https://openalex.org/I1285933455","display_name":"Physikalisch-Technische Bundesanstalt","ror":"https://ror.org/05r3f7h03","country_code":"DE","type":"government","lineage":["https://openalex.org/I1285933455","https://openalex.org/I4210136623"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Kolbitsch","raw_affiliation_strings":["Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany","institution_ids":["https://openalex.org/I1285933455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003843075","display_name":"Evangelos Papoutsellis","orcid":"https://orcid.org/0000-0002-1820-9916"},"institutions":[{"id":"https://openalex.org/I162524378","display_name":"Science and Technology Facilities Council","ror":"https://ror.org/057g20z61","country_code":"GB","type":"government","lineage":["https://openalex.org/I162524378","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Evangelos Papoutsellis","raw_affiliation_strings":["Finden Ltd, Rutherford Appleton Laboratory, and Science and Technology Facilities Council, Harwell Campus, Didcot, OX11 0GD, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-1820-9916","affiliations":[{"raw_affiliation_string":"Finden Ltd, Rutherford Appleton Laboratory, and Science and Technology Facilities Council, Harwell Campus, Didcot, OX11 0GD, United Kingdom","institution_ids":["https://openalex.org/I162524378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078406958","display_name":"David Schote","orcid":"https://orcid.org/0000-0003-3468-0676"},"institutions":[{"id":"https://openalex.org/I1285933455","display_name":"Physikalisch-Technische Bundesanstalt","ror":"https://ror.org/05r3f7h03","country_code":"DE","type":"government","lineage":["https://openalex.org/I1285933455","https://openalex.org/I4210136623"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Schote","raw_affiliation_strings":["Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany","institution_ids":["https://openalex.org/I1285933455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009971494","display_name":"Clemens Sirotenko","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092021","display_name":"Weierstrass Institute for Applied Analysis and Stochastics","ror":"https://ror.org/00h1x4t21","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210092021"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Clemens Sirotenko","raw_affiliation_strings":["Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany","institution_ids":["https://openalex.org/I4210092021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012190939","display_name":"Felix Zimmermann","orcid":"https://orcid.org/0000-0002-0862-8973"},"institutions":[{"id":"https://openalex.org/I1285933455","display_name":"Physikalisch-Technische Bundesanstalt","ror":"https://ror.org/05r3f7h03","country_code":"DE","type":"government","lineage":["https://openalex.org/I1285933455","https://openalex.org/I4210136623"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Frederik Zimmermann","raw_affiliation_strings":["Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany","institution_ids":["https://openalex.org/I1285933455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033749693","display_name":"Kostas Papafitsoros","orcid":"https://orcid.org/0000-0001-9691-4576"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kostas Papafitsoros","raw_affiliation_strings":["School of Mathematical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-9691-4576","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5010913753"],"corresponding_institution_ids":["https://openalex.org/I1285933455"],"apc_list":null,"apc_paid":null,"fwci":2.4359,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91153811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"4","first_page":"2202","last_page":"2246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9980000257492065,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9970999956130981,"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/regularization","display_name":"Regularization (linguistics)","score":0.6854277849197388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5734724402427673},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5679270029067993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5171984434127808},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4964187741279602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.462932288646698},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4349733591079712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3826984465122223}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6854277849197388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5734724402427673},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5679270029067993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5171984434127808},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4964187741279602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.462932288646698},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4349733591079712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3826984465122223}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1137/23m1552486","is_oa":false,"landing_page_url":"https://doi.org/10.1137/23m1552486","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/94663","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/94663","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/94663/2/Papafitsoros%20Learning%20Regularization%20Parameter%202023%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/94663","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/94663","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/94663/2/Papafitsoros%20Learning%20Regularization%20Parameter%202023%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1094694140","display_name":null,"funder_award_id":"EP/P02226X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1372115314","display_name":null,"funder_award_id":"EXC-2046","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G1952997424","display_name":null,"funder_award_id":"EF3-7","funder_id":"https://openalex.org/F4320330291","funder_display_name":"Berlin Mathematics Research Center MATH+"},{"id":"https://openalex.org/G2766996816","display_name":"Tomographic Imaging: UK Collaborative Computational Projects","funder_award_id":"EP/T026677/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4487587668","display_name":"A Reconstruction Toolkit for Multichannel CT","funder_award_id":"EP/P02226X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5195942913","display_name":"CCP in Synergistic Reconstruction for Biomedical Imaging","funder_award_id":"EP/T026693/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6479250449","display_name":null,"funder_award_id":"EP/T026693/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7354608348","display_name":null,"funder_award_id":"EXC-2046/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7362566262","display_name":null,"funder_award_id":"EXC-2046/1","funder_id":"https://openalex.org/F4320330291","funder_display_name":"Berlin Mathematics Research Center MATH+"},{"id":"https://openalex.org/G73682759","display_name":null,"funder_award_id":"EP/M022498/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7422891701","display_name":null,"funder_award_id":"EP/T026677/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7725451807","display_name":null,"funder_award_id":"390685689","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7913825636","display_name":"Tomographic Imaging","funder_award_id":"EP/M022498/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8964763783","display_name":null,"funder_award_id":"390685689","funder_id":"https://openalex.org/F4320330291","funder_display_name":"Berlin Mathematics Research Center MATH+"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320323803","display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie","ror":"https://ror.org/02vgg2808"},{"id":"https://openalex.org/F4320330291","display_name":"Berlin Mathematics Research Center MATH+","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389146134.pdf","grobid_xml":"https://content.openalex.org/works/W4389146134.grobid-xml"},"referenced_works_count":93,"referenced_works":["https://openalex.org/W192531571","https://openalex.org/W1544177383","https://openalex.org/W1597059684","https://openalex.org/W1848983290","https://openalex.org/W1894197677","https://openalex.org/W1916477561","https://openalex.org/W1970163214","https://openalex.org/W1972150100","https://openalex.org/W1978333359","https://openalex.org/W1980461259","https://openalex.org/W1986649315","https://openalex.org/W1986850130","https://openalex.org/W1990381576","https://openalex.org/W2000594266","https://openalex.org/W2020461703","https://openalex.org/W2022655370","https://openalex.org/W2039939700","https://openalex.org/W2043778742","https://openalex.org/W2046331708","https://openalex.org/W2067736594","https://openalex.org/W2074567512","https://openalex.org/W2082675951","https://openalex.org/W2089441731","https://openalex.org/W2092663520","https://openalex.org/W2100533333","https://openalex.org/W2103559027","https://openalex.org/W2117649283","https://openalex.org/W2125527601","https://openalex.org/W2130872658","https://openalex.org/W2133665775","https://openalex.org/W2134495751","https://openalex.org/W2142058898","https://openalex.org/W2142211803","https://openalex.org/W2145020729","https://openalex.org/W2146420155","https://openalex.org/W2151354228","https://openalex.org/W2154625249","https://openalex.org/W2158940042","https://openalex.org/W2297755274","https://openalex.org/W2327387119","https://openalex.org/W2405803404","https://openalex.org/W2479702039","https://openalex.org/W2527769453","https://openalex.org/W2573726823","https://openalex.org/W2594014149","https://openalex.org/W2604388535","https://openalex.org/W2607406448","https://openalex.org/W2732710875","https://openalex.org/W2738743584","https://openalex.org/W2753305843","https://openalex.org/W2754417201","https://openalex.org/W2762685704","https://openalex.org/W2773850766","https://openalex.org/W2952020389","https://openalex.org/W2954862903","https://openalex.org/W2963496223","https://openalex.org/W2963683570","https://openalex.org/W2963912922","https://openalex.org/W2964185338","https://openalex.org/W2978079668","https://openalex.org/W2980686230","https://openalex.org/W3002289736","https://openalex.org/W3005590813","https://openalex.org/W3030204642","https://openalex.org/W3050528501","https://openalex.org/W3098015273","https://openalex.org/W3098900881","https://openalex.org/W3100730608","https://openalex.org/W3101765447","https://openalex.org/W3103586216","https://openalex.org/W3105403262","https://openalex.org/W3105668154","https://openalex.org/W3127154058","https://openalex.org/W3127769734","https://openalex.org/W3133650389","https://openalex.org/W3133689921","https://openalex.org/W3133902371","https://openalex.org/W3134238839","https://openalex.org/W3159136227","https://openalex.org/W3177704287","https://openalex.org/W3185562655","https://openalex.org/W3198331841","https://openalex.org/W3199051821","https://openalex.org/W3207225158","https://openalex.org/W3211148078","https://openalex.org/W4205293988","https://openalex.org/W4212774754","https://openalex.org/W4220974656","https://openalex.org/W4233371490","https://openalex.org/W4293127331","https://openalex.org/W4304014575","https://openalex.org/W4312095295","https://openalex.org/W4318586077"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4375867731","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2611989081","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378"],"abstract_inverted_index":{"We":[0,115],"introduce":[1],"a":[2,90,165,196,206,212,218],"method":[3,163,225,286],"for":[4,16,106,110,132,178],"the":[5,52,56,72,77,104,111,120,126,133,143,148,153,161,180,193,228,236,250,256,259,268,277,283,289],"fast":[6],"estimation":[7],"of":[8,65,96,119,152,167,183,252,258,282],"data-adapted,":[9],"spatially":[10],"and":[11,42,98,159,169,217,235,245,264],"temporally":[12],"dependent":[13],"regularization":[14,53,80,113,185,233,238,260],"parameter-maps":[15,239,261],"variational":[17],"image":[18,220],"reconstruction,":[19],"focusing":[20],"on":[21,44,164,266],"total":[22],"variation":[23],"(TV)":[24],"minimization.":[25],"The":[26,48,59,82,223],"proposed":[27,162,224],"approach":[28],"is":[29,85,262,272,291],"inspired":[30],"by":[31,123,247],"recent":[32],"developments":[33],"in":[34,89],"algorithm":[35,68,271],"unrolling":[36],"using":[37,94,192,231],"deep":[38],"neural":[39],"networks":[40],"(NNs)":[41],"relies":[43],"two":[45],"distinct":[46],"subnetworks.":[47],"first":[49,116],"subnetwork":[50,61],"estimates":[51],"parameter-map":[54],"from":[55,287],"input":[57],"data.":[58],"second":[60],"unrolls":[62],"&#13;\\n":[63,138],"iterations":[64],"an":[66],"iterative":[67,284],"which":[69,179,288],"approximately":[70],"solves":[71],"corresponding":[73,144],"TV-minimization":[74,154],"problem":[75],"incorporating":[76],"previously":[78],"estimated":[79],"parameter-map.":[81],"overall":[83],"network":[84,290],"then":[86],"trained":[87],"end-to-end":[88],"supervised":[91,134],"learning":[92,135],"fashion":[93],"pairs":[95],"clean":[97],"corrupted":[99],"data":[100,177,246],"but":[101],"crucially":[102],"without":[103],"need":[105],"access":[107],"to":[108,140,142,242,249],"labels":[109],"optimal":[112],"parameter-maps.":[114],"prove":[117],"consistency":[118],"unrolled":[121,127],"scheme":[122],"showing":[124],"that":[125,146],"minimizing":[128],"energy":[129],"functional":[130,145],"used":[131],"&#13;\\n-converges,":[136],"as":[137],"tends":[139],"infinity,":[141],"incorporates":[147],"exact":[149],"solution":[150],"map":[151],"problem.":[155,222],"Then,":[156],"we":[157],"apply":[158],"evaluate":[160],"variety":[166],"large-scale":[168],"dynamic":[170,198,219],"imaging":[171,202,243],"problems":[172,244],"with":[173],"retrospectively":[174],"simulated":[175],"measurement":[176],"automatic":[181],"computation":[182],"such":[184],"parameters":[186],"has":[187],"been":[188],"so":[189],"far":[190],"challenging":[191],"state-of-the-art":[194],"methods:":[195],"2D":[197],"cardiac":[199],"magnetic":[200],"resonance":[201],"(MRI)":[203],"reconstruction":[204,210,270,285],"problem,":[205,211,216],"quantitative":[207],"brain":[208],"MRI":[209],"low-dose":[213],"computed":[214],"tomography":[215],"denoising":[221],"consistently":[226],"improves":[227],"TV":[229],"reconstructions":[230],"scalar":[232],"parameters,":[234],"obtained":[237],"adapt":[240],"well":[241],"leading":[248],"preservation":[251],"detailed":[253],"features.":[254],"Although":[255],"choice":[257],"data-driven":[263],"based":[265],"NNs,":[267],"subsequent":[269],"interpretable":[273],"since":[274],"it":[275],"inherits":[276],"properties":[278],"(e.g.,":[279],"convergence":[280],"guarantees)":[281],"implicitly":[292],"defined.":[293]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
