{"id":"https://openalex.org/W4313316206","doi":"https://doi.org/10.1109/tci.2022.3233188","title":"An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction","display_name":"An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313316206","doi":"https://doi.org/10.1109/tci.2022.3233188"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2022.3233188","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tci.2022.3233188","pdf_url":"https://ieeexplore.ieee.org/ielx7/6745852/6960042/10003972.pdf","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":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6745852/6960042/10003972.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086620446","display_name":"Riccardo Barbano","orcid":"https://orcid.org/0000-0003-1863-2092"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Riccardo Barbano","raw_affiliation_strings":["Department of Computer Science, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1863-2092","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Leuschner","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bremen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7361-9523","affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bremen, Germany","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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Schmidt","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bremen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8710-1389","affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Denker","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052463438","display_name":"Andreas Hauptmann","orcid":"https://orcid.org/0000-0002-3756-8121"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI","GB"],"is_corresponding":false,"raw_author_name":"Andreas Hauptmann","raw_affiliation_strings":["Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland","Department of Computer Science, University College London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3756-8121","affiliations":[{"raw_affiliation_string":"Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Department of Computer Science, University College London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Maass","raw_affiliation_strings":["Center for Industrial Mathematics, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Industrial Mathematics, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039605463","display_name":"Bangti Jin","orcid":"https://orcid.org/0000-0002-3775-9155"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bangti Jin","raw_affiliation_strings":["Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","Department of Mathematics, The Chinese University of Hong Kong, N.T., Shatin, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3775-9155","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Mathematics, The Chinese University of Hong Kong, N.T., Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0828,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87114718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"1210","last_page":"1222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7661424875259399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7529931664466858},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6730194091796875},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6656977534294128},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6378713846206665},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6242396235466003},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6132338047027588},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5974264740943909},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5699445009231567},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5323026180267334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4463384449481964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3689548671245575},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06847548484802246}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7661424875259399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7529931664466858},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6730194091796875},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6656977534294128},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6378713846206665},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6242396235466003},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6132338047027588},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5974264740943909},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5699445009231567},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5323026180267334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4463384449481964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3689548671245575},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06847548484802246},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tci.2022.3233188","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tci.2022.3233188","pdf_url":"https://ieeexplore.ieee.org/ielx7/6745852/6960042/10003972.pdf","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"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2023021627505","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2023021627505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tci.2022.3233188","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tci.2022.3233188","pdf_url":"https://ieeexplore.ieee.org/ielx7/6745852/6960042/10003972.pdf","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"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2457018161","display_name":"Centre of Excellence of Inverse Modelling and Imaging","funder_award_id":"353093","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G2543385244","display_name":null,"funder_award_id":"EP/T000864/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4365404423","display_name":null,"funder_award_id":"334817","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G4798680950","display_name":null,"funder_award_id":"353093","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G5667206638","display_name":"Centre of Excellence of Inverse Modelling and Imaging","funder_award_id":"336796","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G6110630689","display_name":"Accurate imaging with sound and light (AI-SOL)","funder_award_id":"338408","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"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/G7551728272","display_name":null,"funder_award_id":"338408","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G7808035001","display_name":"Sawing Optimization via Deep Learning and Multi-instrument Imaging","funder_award_id":"334817","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G8235694465","display_name":null,"funder_award_id":"336796","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"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"},{"id":"https://openalex.org/G8597009950","display_name":null,"funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"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"},{"id":"https://openalex.org/F4320326177","display_name":"Chinesisch-Deutsche Zentrum f\u00fcr Wissenschaftsf\u00f6rderung","ror":"https://ror.org/03ny8r668"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W354722939","https://openalex.org/W639708223","https://openalex.org/W1544177383","https://openalex.org/W1570089119","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2039472483","https://openalex.org/W2071847032","https://openalex.org/W2111854888","https://openalex.org/W2117756735","https://openalex.org/W2118718620","https://openalex.org/W2133665775","https://openalex.org/W2157812230","https://openalex.org/W2464708700","https://openalex.org/W2574952845","https://openalex.org/W2751563926","https://openalex.org/W2904608878","https://openalex.org/W2906587342","https://openalex.org/W2911290743","https://openalex.org/W2952020389","https://openalex.org/W2963026768","https://openalex.org/W2963037989","https://openalex.org/W2963383962","https://openalex.org/W2963426457","https://openalex.org/W2963857521","https://openalex.org/W2964308363","https://openalex.org/W2970280802","https://openalex.org/W2991391304","https://openalex.org/W2996927594","https://openalex.org/W3011771465","https://openalex.org/W3021094251","https://openalex.org/W3040793855","https://openalex.org/W3101558399","https://openalex.org/W3120430728","https://openalex.org/W3122711257","https://openalex.org/W3133902371","https://openalex.org/W3134238839","https://openalex.org/W3176275097","https://openalex.org/W3179592584","https://openalex.org/W3188455524","https://openalex.org/W3205740172","https://openalex.org/W3207346509","https://openalex.org/W3211148078","https://openalex.org/W4214744659","https://openalex.org/W4226096164","https://openalex.org/W4285429105","https://openalex.org/W4292491255","https://openalex.org/W4293846201","https://openalex.org/W4296001753","https://openalex.org/W4393836771","https://openalex.org/W4394667527","https://openalex.org/W6631190155","https://openalex.org/W6640425456","https://openalex.org/W6677759377","https://openalex.org/W6682778277","https://openalex.org/W6727405823","https://openalex.org/W6736057607","https://openalex.org/W6746466744","https://openalex.org/W6755694737","https://openalex.org/W6760820039","https://openalex.org/W6763301180","https://openalex.org/W6768532476","https://openalex.org/W6776463122","https://openalex.org/W6782436372","https://openalex.org/W6797398724","https://openalex.org/W6803678448","https://openalex.org/W6810611376","https://openalex.org/W6810927368","https://openalex.org/W6839117638","https://openalex.org/W6988060980"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W4312518048","https://openalex.org/W2996769815"],"abstract_inverted_index":{"Deep":[0],"image":[1,13,19,119],"prior":[2],"(DIP)":[3],"was":[4],"recently":[5],"introduced":[6],"as":[7,23],"an":[8],"effective":[9],"unsupervised":[10],"approach":[11,52],"for":[12],"restoration":[14],"tasks.":[15],"DIP":[16,71],"represents":[17],"the":[18,24,34,39,43,51,66,83,91,97,111,116,130],"to":[20,57,94,96,107],"be":[21],"recovered":[22],"output":[25,41],"of":[26,82,113,118,143],"a":[27,73,79,86,103],"deep":[28],"convolutional":[29],"neural":[30],"network,":[31],"and":[32,128,137,148],"learns":[33],"network's":[35,92],"parameters":[36,93],"such":[37],"that":[38,123],"model":[40],"matches":[42],"corrupted":[44],"observation.":[45],"Despite":[46],"its":[47],"impressive":[48],"reconstructive":[49],"properties,":[50],"is":[53],"slow":[54],"when":[55],"compared":[56],"supervisedly":[58],"learned,":[59],"or":[60],"traditional":[61],"reconstruction":[62,99,132],"techniques.":[63],"To":[64],"address":[65],"computational":[67],"challenge,":[68],"we":[69],"bestow":[70],"with":[72],"two-stage":[74],"learning":[75],"paradigm:":[76],"(i)":[77],"perform":[78],"supervised":[80],"pretraining":[81,114,124],"network":[84],"on":[85],"simulated":[87],"dataset;":[88],"(ii)":[89],"fine-tune":[90],"adapt":[95],"target":[98],"task.":[100],"We":[101,121],"provide":[102],"thorough":[104],"empirical":[105],"analysis":[106],"shed":[108],"insights":[109],"into":[110],"impacts":[112],"in":[115],"context":[117],"reconstruction.":[120],"showcase":[122],"considerably":[125],"speeds":[126],"up":[127],"stabilizes":[129],"subsequent":[131],"task":[133],"from":[134],"real-measured":[135],"2D":[136],"3D":[138],"micro":[139],"computed":[140],"tomography":[141],"data":[142],"biological":[144],"specimens.":[145],"The":[146],"code":[147],"additional":[149],"experimental":[150],"materials":[151],"are":[152],"available":[153],"athttps://educateddip.github.io/docs.educated_deep_image_prior/educateddip.github.io/docs.educated_deep_image_prior/.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
