{"id":"https://openalex.org/W4385478136","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191590","title":"Wavelet Dual-Stream Network for Brain MR Image Super-Resolution","display_name":"Wavelet Dual-Stream Network for Brain MR Image Super-Resolution","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385478136","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191590"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191590","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5040209451","display_name":"Wanliang Wang","orcid":"https://orcid.org/0000-0002-1552-5075"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanliang Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069697475","display_name":"Fangsen Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangsen Xing","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101529850","display_name":"Jiacheng Chen","orcid":"https://orcid.org/0000-0003-3553-5550"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058671031","display_name":"Qiu Guan","orcid":"https://orcid.org/0000-0002-6928-3040"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiu Guan","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040209451"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39765663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983000159263611,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6812419295310974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6568672060966492},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.654933750629425},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.538030207157135},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5274726748466492},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5198431611061096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5043708086013794},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49912118911743164},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.49086815118789673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36973658204078674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17146575450897217},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1018398106098175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812419295310974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6568672060966492},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.654933750629425},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.538030207157135},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5274726748466492},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5198431611061096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5043708086013794},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49912118911743164},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.49086815118789673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36973658204078674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17146575450897217},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1018398106098175},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191590","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2058523468","https://openalex.org/W2087380704","https://openalex.org/W2242218935","https://openalex.org/W2741196023","https://openalex.org/W2866634454","https://openalex.org/W2897421580","https://openalex.org/W2963372104","https://openalex.org/W2963494934","https://openalex.org/W2964101377","https://openalex.org/W2978392370","https://openalex.org/W2994323562","https://openalex.org/W3013529009","https://openalex.org/W3022327862","https://openalex.org/W3093334928","https://openalex.org/W3101162162","https://openalex.org/W3106180885","https://openalex.org/W3109396053","https://openalex.org/W3140469881","https://openalex.org/W3155350602","https://openalex.org/W3183434090","https://openalex.org/W3206130237","https://openalex.org/W3209689485","https://openalex.org/W4224313400","https://openalex.org/W4225506672","https://openalex.org/W4280491778","https://openalex.org/W4313055350","https://openalex.org/W4361855564"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2077021924"],"abstract_inverted_index":{"High-resolution":[0],"(HR)":[1],"magnetic":[2],"resonance":[3],"(MR)":[4],"images":[5,32],"provide":[6],"more":[7],"detailed":[8],"information":[9,48,113,197,204],"for":[10,75,152],"reliable":[11],"diagnoses":[12],"and":[13,46,64,104,118,137,172,221,246],"quantitative":[14],"medical":[15],"image":[16],"analyses.":[17],"Deep":[18],"convolutional":[19],"neural":[20],"networks":[21],"(CNNs)":[22],"have":[23],"demonstrated":[24],"their":[25],"ability":[26],"to":[27,95,111,123,133,167,183,201,216],"effectively":[28],"retrieve":[29],"HR":[30],"MR":[31,36,55,77],"from":[33],"low-resolution":[34],"(LR)":[35],"images.":[37],"However,":[38],"most":[39],"CNN-based":[40],"super-resolution":[41],"(SR)":[42],"algorithms":[43],"treat":[44],"content":[45,112],"background":[47,124],"equally,":[49],"ignoring":[50],"the":[51,81,92,97,119,135,142,147,154,163,168,178,185,194,203,206,210,218,229,232,240],"unique":[52],"properties":[53],"of":[54,193,196,205,231],"images,":[56],"such":[57],"as":[58,224],"low":[59],"contrast,":[60],"intricate":[61],"tissue":[62],"textures,":[63],"sparse":[65],"backgrounds.":[66],"We":[67,176],"present":[68],"a":[69,86,130,236],"Wavelet":[70],"Dual-":[71],"Stream":[72],"Network":[73],"(WDN)":[74],"accurate":[76],"SR":[78],"that":[79],"addresses":[80],"issues":[82],"raised":[83],"above.":[84],"First,":[85],"wavelet":[87,212],"transform":[88,213],"is":[89,214],"leveraged":[90],"at":[91],"network's":[93,155],"beginning":[94],"decouple":[96],"inputs,":[98],"which":[99,234],"are":[100],"divided":[101],"into":[102],"high-frequency":[103,108,136,171,220],"low-frequency":[105,120,138,222],"sub-bands.":[106],"The":[107],"sub-bands":[109,121,223],"relate":[110],"with":[114,159],"larger":[115],"frequency":[116,174],"changes,":[117],"correspond":[122],"information.":[125,161],"In":[126],"addition,":[127],"we":[128,145],"devise":[129],"two-branch":[131],"structure":[132],"reconstruct":[134],"features":[139],"separately.":[140],"On":[141,162],"one":[143],"hand,":[144,165],"design":[146],"U-Net":[148],"Attention":[149,180],"(U-A)":[150],"mechanism":[151],"focusing":[153],"attention":[156],"on":[157],"regions":[158],"critical":[160],"other":[164],"due":[166],"correlation":[169],"between":[170,187,198],"low-":[173],"branches,":[175],"establish":[177],"Cross":[179],"Block":[181],"(CAB)":[182],"accomplish":[184],"interaction":[186],"two":[188],"branches.":[189],"CAB":[190],"takes":[191],"advantage":[192],"redundancy":[195],"different":[199],"branches":[200],"distill":[202],"current":[207],"branch.":[208],"Finally,":[209],"inverse":[211],"utilized":[215],"couple":[217],"modified":[219],"SR.":[225],"Extensive":[226],"experiments":[227],"confirm":[228],"effectiveness":[230],"WDN,":[233],"provides":[235],"clear":[237],"improvement":[238],"over":[239],"state-of-the-art":[241],"method":[242],"in":[243],"both":[244],"subjective":[245],"objective":[247],"evaluations.":[248]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}