{"id":"https://openalex.org/W2902719825","doi":"https://doi.org/10.1109/tpami.2018.2883941","title":"ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing","display_name":"ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing","publication_year":2018,"publication_date":"2018-11-28","ids":{"openalex":"https://openalex.org/W2902719825","doi":"https://doi.org/10.1109/tpami.2018.2883941","mag":"2902719825","pmid":"https://pubmed.ncbi.nlm.nih.gov/30507495"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2883941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2883941","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101785878","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0001-6227-5235"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yang","raw_affiliation_strings":["Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6227-5235","affiliations":[{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037419606","display_name":"Jian Sun","orcid":"https://orcid.org/0000-0001-7206-0641"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Sun","raw_affiliation_strings":["Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7206-0641","affiliations":[{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003771","display_name":"Huibin Li","orcid":"https://orcid.org/0000-0001-9980-0152"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huibin Li","raw_affiliation_strings":["Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9980-0152","affiliations":[{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109280540","display_name":"Zongben Xu","orcid":"https://orcid.org/0000-0002-4066-2338"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongben Xu","raw_affiliation_strings":["Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi\u2018an Jiaotong University, Xi\u2018an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":39.1021,"has_fulltext":false,"cited_by_count":899,"citation_normalized_percentile":{"value":0.99972806,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"42","issue":"3","first_page":"521","last_page":"538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994999766349792,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889875173568726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7570003867149353},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7362617254257202},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6143608093261719},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6113842129707336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5657973885536194},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4927082359790802},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4613068401813507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43951523303985596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34944188594818115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889875173568726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7570003867149353},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7362617254257202},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6143608093261719},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6113842129707336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5657973885536194},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4927082359790802},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4613068401813507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43951523303985596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34944188594818115}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2018.2883941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2883941","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:30507495","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30507495","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2614431373","display_name":"\u56fe\u50cf\u7ec6\u7c92\u5ea6\u8bc6\u522b\u7684\u663e\u8457\u6027\u7279\u5f81\u5b66\u4e60\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61472313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4297193412","display_name":null,"funder_award_id":"11622106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5234250448","display_name":null,"funder_award_id":"11690011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6387986177","display_name":null,"funder_award_id":"61721002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W1132687469","https://openalex.org/W1677182931","https://openalex.org/W1895448103","https://openalex.org/W1900669773","https://openalex.org/W2000359198","https://openalex.org/W2016278923","https://openalex.org/W2018990310","https://openalex.org/W2031227834","https://openalex.org/W2045748842","https://openalex.org/W2049502219","https://openalex.org/W2077646121","https://openalex.org/W2086782272","https://openalex.org/W2092663520","https://openalex.org/W2093621384","https://openalex.org/W2100556411","https://openalex.org/W2101675075","https://openalex.org/W2114122776","https://openalex.org/W2115706991","https://openalex.org/W2118103795","https://openalex.org/W2119667497","https://openalex.org/W2122548617","https://openalex.org/W2129638195","https://openalex.org/W2130975789","https://openalex.org/W2136334171","https://openalex.org/W2141168890","https://openalex.org/W2151364185","https://openalex.org/W2154332973","https://openalex.org/W2155893237","https://openalex.org/W2159563318","https://openalex.org/W2163605009","https://openalex.org/W2163973643","https://openalex.org/W2164278908","https://openalex.org/W2164452299","https://openalex.org/W2168668658","https://openalex.org/W2191349405","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2304034118","https://openalex.org/W2346728112","https://openalex.org/W2442117232","https://openalex.org/W2474424652","https://openalex.org/W2508457857","https://openalex.org/W2522724166","https://openalex.org/W2536599074","https://openalex.org/W2552808051","https://openalex.org/W2569021273","https://openalex.org/W2574952845","https://openalex.org/W2578009003","https://openalex.org/W2584483805","https://openalex.org/W2604388535","https://openalex.org/W2606467549","https://openalex.org/W2617128058","https://openalex.org/W2625429595","https://openalex.org/W2631883531","https://openalex.org/W2738743584","https://openalex.org/W2751669091","https://openalex.org/W2761183928","https://openalex.org/W2778924750","https://openalex.org/W2883105305","https://openalex.org/W2950936580","https://openalex.org/W2951236102","https://openalex.org/W2962853966","https://openalex.org/W2963371269","https://openalex.org/W2963446712","https://openalex.org/W2963676935","https://openalex.org/W2963793388","https://openalex.org/W2963841451","https://openalex.org/W2964106058","https://openalex.org/W2964251511","https://openalex.org/W3102722370","https://openalex.org/W3103372211","https://openalex.org/W3103586216","https://openalex.org/W3104984874","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W4299851355","https://openalex.org/W4301699904","https://openalex.org/W6626875590","https://openalex.org/W6639581634","https://openalex.org/W6677645113","https://openalex.org/W6684191040","https://openalex.org/W6704980600","https://openalex.org/W6721078792","https://openalex.org/W6726214262","https://openalex.org/W6729455701","https://openalex.org/W6737002576","https://openalex.org/W6739495466"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W1976264255","https://openalex.org/W2896778670","https://openalex.org/W3024479225","https://openalex.org/W3171371563","https://openalex.org/W3003847115"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"(CS)":[2],"is":[3],"an":[4],"effective":[5],"technique":[6],"for":[7,58,72,95],"reconstructing":[8],"image":[9,27,59,73],"from":[10,61],"a":[11,38,68],"small":[12],"amount":[13],"of":[14,37,91,118,135,144],"sampled":[15,63],"data.":[16],"It":[17],"has":[18],"been":[19],"widely":[20],"applied":[21],"in":[22,78,114,155],"medical":[23],"imaging,":[24],"remote":[25],"sensing,":[26],"compression,":[28],"etc.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"propose":[34],"two":[35,84,111],"versions":[36],"novel":[39],"deep":[40,55,112,166],"learning":[41,56,167],"architecture,":[42],"dubbed":[43],"as":[44],"ADMM-CSNet,":[45],"by":[46,129],"combining":[47],"the":[48,97,106,119,123,148,161,164],"traditional":[49,162],"model-based":[50],"CS":[51,70,120,137,142],"method":[52,57],"and":[53,82,104,122,141,163],"data-driven":[54],"reconstruction":[60,74,153],"sparsely":[62],"measurements.":[64],"We":[65,101],"first":[66],"consider":[67],"generalized":[69],"model":[71,98,121],"with":[75,160],"undetermined":[76,79],"regularizations":[77],"transform":[80],"domains,":[81],"then":[83],"efficient":[85],"solvers":[86],"using":[87],"Alternating":[88],"Direction":[89],"Method":[90],"Multipliers":[92],"(ADMM)":[93],"algorithm":[94,108,125],"optimizing":[96],"are":[99,126],"proposed.":[100],"further":[102],"unroll":[103],"generalize":[105],"ADMM":[107,124],"to":[109],"be":[110],"architectures,":[113],"which":[115],"all":[116],"parameters":[117],"discriminatively":[127],"learned":[128],"end-to-end":[130],"training.":[131],"For":[132],"both":[133],"applications":[134],"fast":[136,156],"complex-valued":[138],"MR":[139],"imaging":[140,143],"real-valued":[145],"natural":[146],"images,":[147],"proposed":[149],"ADMM-CSNet":[150],"achieved":[151],"favorable":[152],"accuracy":[154],"computational":[157],"speed":[158],"compared":[159],"other":[165],"methods.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":53},{"year":2025,"cited_by_count":176},{"year":2024,"cited_by_count":163},{"year":2023,"cited_by_count":153},{"year":2022,"cited_by_count":133},{"year":2021,"cited_by_count":145},{"year":2020,"cited_by_count":58},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
