{"id":"https://openalex.org/W2902828227","doi":"https://doi.org/10.1109/tbme.2018.2883958","title":"Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction","display_name":"Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction","publication_year":2018,"publication_date":"2018-11-29","ids":{"openalex":"https://openalex.org/W2902828227","doi":"https://doi.org/10.1109/tbme.2018.2883958","mag":"2902828227","pmid":"https://pubmed.ncbi.nlm.nih.gov/30507491"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2018.2883958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2883958","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6541541","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045648457","display_name":"Lei Xiang","orcid":"https://orcid.org/0000-0002-0763-2313"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Xiang","raw_affiliation_strings":["Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454363","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0001-6183-2693"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067962275","display_name":"Wei\u2010Tang Chang","orcid":"https://orcid.org/0000-0002-2918-1752"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weitang Chang","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062819602","display_name":"Yiqiang Zhan","orcid":"https://orcid.org/0000-0001-8391-2555"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Zhan","raw_affiliation_strings":["Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006302877","display_name":"Weili Lin","orcid":"https://orcid.org/0000-0002-2900-8204"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weili Lin","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391054","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-3490-3836"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Radiology and BRIC, University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and BRIC, University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5045648457"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":8.7974,"has_fulltext":false,"cited_by_count":157,"citation_normalized_percentile":{"value":0.98363036,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"66","issue":"7","first_page":"2105","last_page":"2114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994000196456909,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9983000159263611,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7582533359527588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219871282577515},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.6253138780593872},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6061986684799194},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5936872363090515},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5597356557846069},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5373693108558655},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.48254746198654175},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4790162444114685},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4766438901424408},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4555668830871582},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.43806153535842896},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41348177194595337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3678409159183502},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36338233947753906},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.18220558762550354},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.15094491839408875}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7582533359527588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219871282577515},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.6253138780593872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6061986684799194},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5936872363090515},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5597356557846069},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5373693108558655},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.48254746198654175},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4790162444114685},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4766438901424408},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4555668830871582},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43806153535842896},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41348177194595337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3678409159183502},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36338233947753906},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.18220558762550354},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.15094491839408875},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2018.2883958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2883958","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:30507491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30507491","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 bio-medical engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6541541","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6541541","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6541541","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6541541","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1666955300","display_name":null,"funder_award_id":"81471733","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5960771336","display_name":null,"funder_award_id":"16410722400","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G6233177323","display_name":null,"funder_award_id":"16511101103","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7687777956","display_name":null,"funder_award_id":"61471390","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8178833062","display_name":null,"funder_award_id":"17411953300","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1986705464","https://openalex.org/W2014035569","https://openalex.org/W2029816571","https://openalex.org/W2056775112","https://openalex.org/W2067018983","https://openalex.org/W2101675075","https://openalex.org/W2117340355","https://openalex.org/W2142592339","https://openalex.org/W2156387975","https://openalex.org/W2163605009","https://openalex.org/W2167233877","https://openalex.org/W2168887049","https://openalex.org/W2176563895","https://openalex.org/W2194775991","https://openalex.org/W2208819768","https://openalex.org/W2442117232","https://openalex.org/W2476839077","https://openalex.org/W2508457857","https://openalex.org/W2552808051","https://openalex.org/W2567079332","https://openalex.org/W2594014149","https://openalex.org/W2596905414","https://openalex.org/W2613718673","https://openalex.org/W2631883531","https://openalex.org/W2729145866","https://openalex.org/W2778924750","https://openalex.org/W2789713147","https://openalex.org/W2791621240","https://openalex.org/W2800433434","https://openalex.org/W2806475032","https://openalex.org/W2809834193","https://openalex.org/W2890215949","https://openalex.org/W2891888042","https://openalex.org/W2949117887","https://openalex.org/W2951234442","https://openalex.org/W2962734274","https://openalex.org/W2963176524","https://openalex.org/W2963212250","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W4233764193","https://openalex.org/W4249760698","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6685261749","https://openalex.org/W7030190407"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1924837940","https://openalex.org/W2391745328","https://openalex.org/W2095903272","https://openalex.org/W2887520098","https://openalex.org/W2554790198"],"abstract_inverted_index":{"T1-weighted":[0],"image":[1,5,35,72,94],"(T1WI)":[2],"and":[3,23,86,151,184],"T2-weighted":[4],"(T2WI)":[6],"are":[7],"the":[8,27,33,43,62,71,92,98,102,109,123,142,182,203],"two":[9],"routinely":[10],"acquired":[11,34,205],"magnetic":[12],"resonance":[13],"(MR)":[14],"modalities":[15],"that":[16,162],"can":[17,164],"provide":[18],"complementary":[19,81],"information":[20],"for":[21,70,181],"clinical":[22,221],"research":[24],"usages.":[25],"However,":[26,59],"relatively":[28],"long":[29],"acquisition":[30,69],"time":[31],"makes":[32],"vulnerable":[36],"to":[37,51,79,90,97,112,120,140,202],"motion":[38],"artifacts.":[39],"To":[40,101],"speed":[41,121],"up":[42,122],"imaging":[44],"process,":[45],"various":[46],"algorithms":[47,64],"have":[48,160],"been":[49],"proposed":[50,146],"reconstruct":[52,91,165],"high-quality":[53,93],"images":[54],"from":[55],"under-sampled":[56,87],"k-space":[57,183],"data.":[58],"most":[60],"of":[61,104,125,179,198,216],"existing":[63],"only":[65],"rely":[66],"on":[67],"mono-modality":[68],"reconstruction.":[73],"In":[74],"this":[75,107],"paper,":[76],"we":[77,131],"propose":[78],"combine":[80],"MR":[82,115,208],"acquisitions":[83,116],"(i.e.,":[84,95],"T1WI":[85],"T2WI":[88,168],"particularly)":[89],"corresponding":[96],"fully-sampled":[99],"T2WI).":[100],"best":[103],"our":[105,217],"knowledge,":[106],"is":[108],"first":[110],"work":[111],"fuse":[113],"multi-modal":[114],"through":[117],"deep":[118,135],"learning":[119,136],"reconstruction":[124,143],"a":[126,133,166],"certain":[127],"target":[128],"image.":[129],"Specifically,":[130],"present":[132],"novel":[134],"approach,":[137],"namely":[138],"Dense-Unet,":[139],"accomplish":[141],"task.":[144],"The":[145,210],"Dense-Unet":[147,163,199],"requires":[148],"fewer":[149],"parameters":[150],"less":[152,171],"computation,":[153],"while":[154],"achieving":[155],"promising":[156],"performance.":[157],"Our":[158],"results":[159,212],"shown":[161],"3D":[167],"volume":[169],"in":[170,219],"than":[172],"10":[173],"seconds":[174],"with":[175],"an":[176],"under-sampling":[177],"rate":[178],"8":[180],"negligible":[185],"aliasing":[186],"artifacts":[187],"or":[188],"signal-noise-ratio":[189],"(SNR)":[190],"loss.":[191],"Experiments":[192],"also":[193],"demonstrate":[194],"excellent":[195],"transferring":[196],"capability":[197],"when":[200],"applied":[201],"datasets":[204],"by":[206],"different":[207],"scanners.":[209],"above":[211],"imply":[213],"great":[214],"potential":[215],"method":[218],"many":[220],"scenarios.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":6}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}