{"id":"https://openalex.org/W4402753589","doi":"https://doi.org/10.1109/cvpr52733.2024.01080","title":"Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution","display_name":"Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402753589","doi":"https://doi.org/10.1109/cvpr52733.2024.01080"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.01080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5101603720","display_name":"Guangyuan Li","orcid":"https://orcid.org/0000-0002-2938-527X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyuan Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University,China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102646401","display_name":"Chen Rao","orcid":"https://orcid.org/0009-0008-8059-3438"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Rao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University,China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087481525","display_name":"Juncheng Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncheng Mo","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University,China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061370730","display_name":"Zhanjie Zhang","orcid":"https://orcid.org/0000-0003-0191-5715"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanjie Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University,China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681865","display_name":"Wei Xing","orcid":"https://orcid.org/0000-0002-7994-6725"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xing","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University,China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064842786","display_name":"Lei Zhao","orcid":"https://orcid.org/0000-0003-4791-454X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University,China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101603720"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":10.7291,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.99002816,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"11365","last_page":"11374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976999759674072,"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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6656075716018677},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5371137261390686},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.5086553692817688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47738832235336304},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4568219780921936},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43186426162719727},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3382408618927002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32368505001068115},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19884133338928223},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.17181992530822754},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1456250548362732}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6656075716018677},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5371137261390686},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.5086553692817688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47738832235336304},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4568219780921936},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43186426162719727},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3382408618927002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32368505001068115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19884133338928223},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.17181992530822754},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1456250548362732},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.01080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1791560514","https://openalex.org/W2003863798","https://openalex.org/W2067042811","https://openalex.org/W2121058967","https://openalex.org/W2900756484","https://openalex.org/W2966737464","https://openalex.org/W3036167779","https://openalex.org/W3102018640","https://openalex.org/W3134103558","https://openalex.org/W3155072588","https://openalex.org/W3179253672","https://openalex.org/W3180355996","https://openalex.org/W3183394902","https://openalex.org/W3183434090","https://openalex.org/W3202223141","https://openalex.org/W3205399766","https://openalex.org/W3211381050","https://openalex.org/W4214634256","https://openalex.org/W4221166004","https://openalex.org/W4295312788","https://openalex.org/W4296057623","https://openalex.org/W4296057693","https://openalex.org/W4296057829","https://openalex.org/W4296959836","https://openalex.org/W4312233661","https://openalex.org/W4312933868","https://openalex.org/W4318274239","https://openalex.org/W4320013936","https://openalex.org/W4321090270","https://openalex.org/W4323519308","https://openalex.org/W4379660313","https://openalex.org/W4381332772","https://openalex.org/W4381826788","https://openalex.org/W4382372079","https://openalex.org/W4385272245","https://openalex.org/W4387211174","https://openalex.org/W4387211202","https://openalex.org/W4387211403","https://openalex.org/W4387211424","https://openalex.org/W4387968080","https://openalex.org/W4390872521","https://openalex.org/W4390872583","https://openalex.org/W4390873327","https://openalex.org/W4390873495","https://openalex.org/W6631190155","https://openalex.org/W6755625687","https://openalex.org/W6766978945","https://openalex.org/W6779823529","https://openalex.org/W6851972558"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W3210000161","https://openalex.org/W3103111272"],"abstract_inverted_index":{"Recently,":[0],"diffusion":[1,93],"models":[2],"(DM)":[3],"have":[4],"been":[5],"applied":[6],"in":[7,79,106],"magnetic":[8],"resonance":[9],"imaging":[10],"(MRI)":[11],"super-resolution":[12],"(SR)":[13],"reconstruction,":[14],"exhibiting":[15],"impressive":[16],"performance,":[17],"especially":[18],"with":[19,70,117],"regard":[20],"to":[21,44,76,113,135,170],"detailed":[22],"reconstruction.":[23],"However,":[24],"the":[25,33,46,71,80,86,144,151,158,164,173],"current":[26],"DM-based":[27],"SR":[28],"reconstruction":[29],"methods":[30,66],"still":[31],"face":[32],"following":[34],"issues:":[35],"(1)":[36],"They":[37],"require":[38],"a":[39,54,107,131],"large":[40],"number":[41],"of":[42,57],"iterations":[43,134],"reconstruct":[45],"final":[47],"image,":[48],"which":[49,155],"is":[50],"inefficient":[51],"and":[52,183],"consumes":[53],"significant":[55],"amount":[56],"computational":[58],"re-sources.":[59],"(2)":[60],"The":[61,121],"results":[62],"reconstructed":[63,81,174],"by":[64,168],"these":[65],"are":[67],"often":[68],"misaligned":[69],"real":[72],"high-resolution":[73],"images,":[74],"leading":[75],"remarkable":[77],"distortion":[78],"MR":[82,175],"images.":[83],"To":[84],"address":[85],"aforementioned":[87],"issues,":[88],"we":[89,103,142],"propose":[90],"an":[91],"efficient":[92],"model":[94],"for":[95,153],"multi-contrast":[96],"MRI":[97],"SR,":[98],"named":[99],"as":[100,150],"DiffMSR.":[101],"Specifically,":[102],"apply":[104],"DM":[105,128,169],"highly":[108,122],"compact":[109,123],"low-dimensional":[110],"latent":[111,124],"space":[112,125],"generate":[114],"prior":[115,138,165],"knowledge":[116,166],"high-frequency":[118],"detail":[119],"information.":[120],"ensures":[126],"that":[127,172,187],"requires":[129],"only":[130],"few":[132],"simple":[133],"produce":[136],"accurate":[137],"knowledge.":[139],"In":[140],"addition,":[141],"design":[143],"Prior-Guide":[145],"Large":[146],"Window":[147],"Trans-former":[148],"(PLWformer)":[149],"decoder":[152],"DM,":[154],"can":[156],"ex-tend":[157],"receptive":[159],"field":[160],"while":[161],"fully":[162],"utilizing":[163],"generated":[167],"ensure":[171],"image":[176],"remains":[177],"undistorted.":[178],"Extensive":[179],"experiments":[180],"on":[181],"public":[182],"clinical":[184],"datasets":[185],"demonstrate":[186],"our":[188],"DiffMSR<sup":[189],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[190,192],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup><sup":[191],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>Code:":[193],"https://github.com/GuangYuanKK/DiffMSR":[194],"outperforms":[195],"state-of-the-art":[196],"methods.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}
