{"id":"https://openalex.org/W3175178093","doi":"https://doi.org/10.1109/tnnls.2021.3090303","title":"DONet: Dual-Octave Network for Fast MR Image Reconstruction","display_name":"DONet: Dual-Octave Network for Fast MR Image Reconstruction","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3175178093","doi":"https://doi.org/10.1109/tnnls.2021.3090303","mag":"3175178093","pmid":"https://pubmed.ncbi.nlm.nih.gov/34197326"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3090303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3090303","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5049444898","display_name":"Chun-Mei Feng","orcid":"https://orcid.org/0000-0002-3025-8964"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Chun-Mei Feng","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates. She is now with the Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"],"raw_orcid":"https://orcid.org/0000-0002-3025-8964","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]},{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates. She is now with the Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015638711","display_name":"Zhanyuan Yang","orcid":"https://orcid.org/0000-0002-5252-854X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanyuan Yang","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China"],"raw_orcid":"https://orcid.org/0000-0002-5252-854X","affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-9702-5524","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0530-2123","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China","PCA Laboratory, Nanjing University of Science and Technology, Nanjing 210094, China, also with the Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing 210094, China, and also with the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":"https://orcid.org/0000-0003-4800-832X","affiliations":[{"raw_affiliation_string":"PCA Laboratory, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"PCA Laboratory, Nanjing University of Science and Technology, Nanjing 210094, China, also with the Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing 210094, China, and also with the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-8264-6117","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3196,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.96454487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"3965","last_page":"3975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI 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/T10378","display_name":"Advanced MRI 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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991999864578247,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.7233081459999084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659029722213745},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.622140109539032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393903255462646},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5256715416908264},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.47411349415779114},{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.4449448883533478},{"id":"https://openalex.org/keywords/the-imaginary","display_name":"The Imaginary","score":0.44016560912132263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4182596802711487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.340320348739624},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08683320879936218},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08241629600524902}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.7233081459999084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659029722213745},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.622140109539032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393903255462646},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5256715416908264},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.47411349415779114},{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.4449448883533478},{"id":"https://openalex.org/C135068731","wikidata":"https://www.wikidata.org/wiki/Q1169049","display_name":"The Imaginary","level":2,"score":0.44016560912132263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4182596802711487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.340320348739624},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08683320879936218},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08241629600524902},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3090303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3090303","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34197326","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34197326","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1898488731","display_name":null,"funder_award_id":"61876051","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1603401579","https://openalex.org/W1758598986","https://openalex.org/W1983695700","https://openalex.org/W1999908130","https://openalex.org/W2047544187","https://openalex.org/W2055151182","https://openalex.org/W2070678378","https://openalex.org/W2086903403","https://openalex.org/W2093621384","https://openalex.org/W2097117768","https://openalex.org/W2111388536","https://openalex.org/W2115331407","https://openalex.org/W2142808775","https://openalex.org/W2152203131","https://openalex.org/W2191349405","https://openalex.org/W2331176748","https://openalex.org/W2442117232","https://openalex.org/W2560023338","https://openalex.org/W2560533888","https://openalex.org/W2565639579","https://openalex.org/W2604388535","https://openalex.org/W2611467245","https://openalex.org/W2616324011","https://openalex.org/W2757509933","https://openalex.org/W2773850766","https://openalex.org/W2778924750","https://openalex.org/W2781768394","https://openalex.org/W2787943924","https://openalex.org/W2791621240","https://openalex.org/W2796670799","https://openalex.org/W2883105305","https://openalex.org/W2895598217","https://openalex.org/W2900756484","https://openalex.org/W2902719825","https://openalex.org/W2930684221","https://openalex.org/W2963446712","https://openalex.org/W2964293140","https://openalex.org/W2964308363","https://openalex.org/W2969785455","https://openalex.org/W2979588445","https://openalex.org/W2988396473","https://openalex.org/W3004715589","https://openalex.org/W3007633369","https://openalex.org/W3034223847","https://openalex.org/W3049318984","https://openalex.org/W3100730608","https://openalex.org/W3101674918","https://openalex.org/W3118287301","https://openalex.org/W3134103558","https://openalex.org/W3152750416","https://openalex.org/W3202223141","https://openalex.org/W3202624106","https://openalex.org/W4205789803","https://openalex.org/W4249760698","https://openalex.org/W4288102849","https://openalex.org/W6738884980","https://openalex.org/W6755625687","https://openalex.org/W6760969605","https://openalex.org/W6767820389"],"related_works":["https://openalex.org/W2109073422","https://openalex.org/W2887783772","https://openalex.org/W2101754595","https://openalex.org/W4249381695","https://openalex.org/W3016733773","https://openalex.org/W2534887053","https://openalex.org/W2026172757","https://openalex.org/W2491088243","https://openalex.org/W2080076470","https://openalex.org/W4389292014"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"(MR)":[2],"image":[3,63,237],"acquisition":[4],"is":[5,20,42],"an":[6],"inherently":[7],"prolonged":[8],"process,":[9],"whose":[10],"acceleration":[11,225],"has":[12],"long":[13],"been":[14],"the":[15,37,51,92,133,153,168,172,181,194,204,228],"subject":[16],"of":[17,44,56,70,73,87,183,202,230],"research.":[18],"This":[19],"commonly":[21],"achieved":[22],"by":[23,187,197],"obtaining":[24],"multiple":[25,199],"undersampled":[26],"images,":[27],"simultaneously,":[28],"through":[29],"parallel":[30,60,235],"imaging.":[31],"In":[32,89],"this":[33],"article,":[34],"we":[35],"propose":[36],"dual-octave":[38,74],"network":[39],"(DONet),":[40],"which":[41,77],"capable":[43],"learning":[45,198],"multiscale":[46],"spatial-frequency":[47,200],"features":[48,184,201],"from":[49],"both":[50,203],"real":[52,106,154,173,205],"and":[53,96,107,109,127,150,155,174,190,206,218,224],"imaginary":[54,156,175,207],"components":[55,104,157],"MR":[57,62,236],"data,":[58],"for":[59,84],"fast":[61],"reconstruction.":[64,238],"More":[65],"specifically,":[66],"our":[67,121,231],"DONet":[68,192],"consists":[69],"a":[71,81],"series":[72],"convolutions":[75],"(Dual-OctConvs),":[76],"are":[78,99],"connected":[79],"in":[80,177,233],"dense":[82,169],"manner":[83],"better":[85],"reuse":[86],"features.":[88],"each":[90,178],"Dual-OctConv,":[91],"input":[93],"feature":[94,188],"maps":[95],"convolutional":[97],"kernels":[98],"first":[100],"split":[101],"into":[102,112],"two":[103,212],"(i.e.,":[105,215],"imaginary)":[108],"then":[110],"divided":[111],"four":[113],"groups":[114,176],"according":[115],"to":[116,131,162],"their":[117],"spatial":[118,160],"frequencies.":[119],"Then,":[120],"Dual-OctConv":[122,179],"conducts":[123],"intragroup":[124],"information":[125,129,135,148],"updating":[126],"intergroup":[128],"exchange":[130],"aggregate":[132],"contextual":[134],"across":[136],"different":[137,221],"groups.":[138],"Our":[139],"framework":[140],"provides":[141],"three":[142],"appealing":[143],"benefits:":[144],"1)":[145],"it":[146],"encourages":[147],"interaction":[149],"fusion":[151],"between":[152,171],"at":[158],"various":[159],"frequencies":[161],"achieve":[163],"richer":[164],"representational":[165],"capacity;":[166],"2)":[167],"connections":[170],"make":[180],"propagation":[182],"more":[185],"efficient":[186],"reuse;":[189],"3)":[191],"enlarges":[193],"receptive":[195],"field":[196],"components.":[208],"Extensive":[209],"experiments":[210],"on":[211],"popular":[213],"datasets":[214],"clinical":[216],"knee":[217],"fastMRI),":[219],"under":[220],"undersampling":[222],"patterns":[223],"factors,":[226],"demonstrate":[227],"superiority":[229],"model":[232],"accelerated":[234]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}