{"id":"https://openalex.org/W4385210715","doi":"https://doi.org/10.3390/s23146616","title":"TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain","display_name":"TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain","publication_year":2023,"publication_date":"2023-07-23","ids":{"openalex":"https://openalex.org/W4385210715","doi":"https://doi.org/10.3390/s23146616","pmid":"https://pubmed.ncbi.nlm.nih.gov/37514910"},"language":"en","primary_location":{"id":"doi:10.3390/s23146616","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146616","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6616/pdf?version=1690097328","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/14/6616/pdf?version=1690097328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058059403","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0001-6665-9738"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":"https://orcid.org/0000-0001-6665-9738","affiliations":[{"raw_affiliation_string":"Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748100","display_name":"Zhongyang Wang","orcid":"https://orcid.org/0009-0005-9132-9016"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyang Wang","raw_affiliation_strings":["Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102777251","display_name":"Haoze Sun","orcid":"https://orcid.org/0000-0002-7037-701X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoze Sun","raw_affiliation_strings":["Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089466271","display_name":"Lizhen Deng","orcid":"https://orcid.org/0000-0002-4494-9918"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Deng","raw_affiliation_strings":["National Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":"https://orcid.org/0000-0002-4494-9918","affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052986170","display_name":"Hu Zhu","orcid":"https://orcid.org/0000-0002-5528-8721"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hu Zhu","raw_affiliation_strings":["Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052986170"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.6462,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85716646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"14","first_page":"6616","last_page":"6616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shearlet","display_name":"Shearlet","score":0.8143874406814575},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7070059776306152},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6768935918807983},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5597944259643555},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.555365264415741},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5472771525382996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5461680293083191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5410425066947937},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5262498259544373},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47607678174972534},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4695240557193756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4414907693862915},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4323025941848755},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4306151866912842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39893639087677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36819028854370117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3474443554878235},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10773530602455139},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07030794024467468},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0673222541809082}],"concepts":[{"id":"https://openalex.org/C67795661","wikidata":"https://www.wikidata.org/wiki/Q17018993","display_name":"Shearlet","level":3,"score":0.8143874406814575},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7070059776306152},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6768935918807983},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5597944259643555},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.555365264415741},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5472771525382996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5461680293083191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5410425066947937},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5262498259544373},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47607678174972534},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4695240557193756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4414907693862915},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4323025941848755},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4306151866912842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39893639087677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36819028854370117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3474443554878235},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10773530602455139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07030794024467468},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0673222541809082},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23146616","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146616","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6616/pdf?version=1690097328","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37514910","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37514910","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10384420","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10384420","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10384420/pdf/sensors-23-06616.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:80542bb27f8445dcb9b4def8a57e7f33","is_oa":true,"landing_page_url":"https://doaj.org/article/80542bb27f8445dcb9b4def8a57e7f33","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 14, p 6616 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/14/6616/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23146616","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 14; Pages: 6616","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23146616","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146616","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6616/pdf?version=1690097328","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6044263139","display_name":"\u5bf9\u6297\u6761\u4ef6\u4e0b\u771f\u4f2a\u76ee\u6807\u63a2\u6d4b\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072256","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385210715.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W301566927","https://openalex.org/W1580389772","https://openalex.org/W1918250297","https://openalex.org/W1963826206","https://openalex.org/W1986231131","https://openalex.org/W1986517950","https://openalex.org/W1994714721","https://openalex.org/W1997480692","https://openalex.org/W1999316653","https://openalex.org/W2025133197","https://openalex.org/W2059111949","https://openalex.org/W2066667210","https://openalex.org/W2091484864","https://openalex.org/W2097061348","https://openalex.org/W2116702374","https://openalex.org/W2128361044","https://openalex.org/W2133665775","https://openalex.org/W2146353910","https://openalex.org/W2147922706","https://openalex.org/W2316393976","https://openalex.org/W2411377185","https://openalex.org/W2568836762","https://openalex.org/W2735221233","https://openalex.org/W2804744787","https://openalex.org/W2808591023","https://openalex.org/W2898653582","https://openalex.org/W2912581987","https://openalex.org/W2986088889","https://openalex.org/W3021162349","https://openalex.org/W3099655797","https://openalex.org/W3125032682","https://openalex.org/W3127152040","https://openalex.org/W3137558348","https://openalex.org/W4205432032","https://openalex.org/W4210385745","https://openalex.org/W4285158820","https://openalex.org/W4292363360","https://openalex.org/W4293546472","https://openalex.org/W4318141851","https://openalex.org/W4365147197","https://openalex.org/W6673124941"],"related_works":["https://openalex.org/W2475220750","https://openalex.org/W2016759271","https://openalex.org/W2087347181","https://openalex.org/W2117383856","https://openalex.org/W4323566558","https://openalex.org/W2095903272","https://openalex.org/W2391745328","https://openalex.org/W2356070877","https://openalex.org/W2975989341","https://openalex.org/W2908488917"],"abstract_inverted_index":{"In":[0,55],"this":[1,93],"paper,":[2],"a":[3,51,97],"unified":[4],"optimization":[5],"model":[6,24],"for":[7,133],"medical":[8],"image":[9],"fusion":[10],"based":[11,26],"on":[12,27],"tensor":[13,33,67],"decomposition":[14,34,68],"and":[15,31,41,60,79,100,151],"the":[16,28,32,38,64,73,77,88,107,112,115,120,129,137,144,148,157],"non-subsampled":[17],"shearlet":[18],"transform":[19],"(NSST)":[20],"is":[21,25],"proposed.":[22],"The":[23],"NSST":[29,146],"method":[30,35,123,132],"to":[36,49,72,105,147],"fuse":[37],"high-frequency":[39,61,78,150],"(HF)":[40],"low-frequency":[42,59,80,152],"(LF)":[43],"parts":[44],"of":[45,66,114,124,159],"two":[46],"source":[47],"images":[48,139],"obtain":[50],"mixed-frequency":[52],"fused":[53,89,116,138,149],"image.":[54],"general,":[56],"we":[57,95,118],"integrate":[58],"information":[62,83],"from":[63],"perspective":[65],"(TD)":[69],"fusion.":[70],"Due":[71],"structural":[74],"differences":[75],"between":[76],"representations,":[81],"potential":[82],"loss":[84],"may":[85],"occur":[86],"in":[87],"images.":[90],"To":[91,110],"address":[92],"issue,":[94],"introduce":[96],"joint":[98],"static":[99],"dynamic":[101],"guidance":[102],"(JSDG)":[103],"technique":[104],"complement":[106],"HF/LF":[108],"information.":[109],"improve":[111],"result":[113],"images,":[117],"combine":[119],"alternating":[121],"direction":[122],"multipliers":[125],"(ADMM)":[126],"algorithm":[127],"with":[128],"gradient":[130],"descent":[131],"parameter":[134],"optimization.":[135],"Finally,":[136],"are":[140],"reconstructed":[141],"by":[142],"applying":[143],"inverse":[145],"bands.":[153],"Extensive":[154],"experiments":[155],"confirm":[156],"superiority":[158],"our":[160],"proposed":[161],"TDFusion":[162],"over":[163],"other":[164],"comparison":[165],"methods.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
