{"id":"https://openalex.org/W4416904123","doi":"https://doi.org/10.48550/arxiv.2504.19687","title":"Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR","display_name":"Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W4416904123","doi":"https://doi.org/10.48550/arxiv.2504.19687"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2504.19687","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.19687","pdf_url":"https://arxiv.org/pdf/2504.19687","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.19687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103146017","display_name":"Baoshun Shi","orcid":"https://orcid.org/0000-0003-0486-6728"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shi, Baoshun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443103","display_name":"Bing Chen","orcid":"https://orcid.org/0000-0002-2863-5441"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Bing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114444542","display_name":"Shaolei Zhang","orcid":"https://orcid.org/0009-0009-5871-5678"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shaolei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Huazhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052755615","display_name":"Zhanli Hu","orcid":"https://orcid.org/0000-0003-0618-6240"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Zhanli","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103146017"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9790999889373779,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9790999889373779,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.009800000116229057,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.002899999963119626,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.44929999113082886},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4357999861240387},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4172999858856201},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.383899986743927},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.38100001215934753},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.37070000171661377},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.3684999942779541},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.36570000648498535},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.35109999775886536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110999822616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5884000062942505},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4172999858856201},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.383899986743927},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3562999963760376},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2854999899864197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2644999921321869},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2504.19687","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.19687","pdf_url":"https://arxiv.org/pdf/2504.19687","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2504.19687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.19687","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.19687","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.19687","pdf_url":"https://arxiv.org/pdf/2504.19687","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1429811861","display_name":null,"funder_award_id":"F2020203025","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G1683462121","display_name":null,"funder_award_id":"61901406","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3537633596","display_name":null,"funder_award_id":"202104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7805044596","display_name":null,"funder_award_id":"62371414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8805392925","display_name":null,"funder_award_id":"50701010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8853050072","display_name":null,"funder_award_id":"F2023203043","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416904123.pdf","grobid_xml":"https://content.openalex.org/works/W4416904123.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Low-dose":[0],"CT":[1,201],"(LDCT)":[2],"is":[3],"capable":[4],"of":[5,24],"reducing":[6],"X-ray":[7],"radiation":[8],"exposure,":[9],"but":[10],"it":[11,98],"will":[12],"potentially":[13],"degrade":[14],"image":[15],"quality,":[16],"even":[17],"yields":[18],"metal":[19,32,184],"artifacts":[20],"at":[21,206],"the":[22,45,212,216],"case":[23],"metallic":[25],"implants.":[26],"For":[27],"simultaneous":[28],"LDCT":[29],"reconstruction":[30],"and":[31,50,97,104,117,145,160,186],"artifact":[33],"reduction":[34],"(LDMAR),":[35],"existing":[36],"deep":[37],"learning-based":[38],"efforts":[39],"face":[40],"two":[41],"main":[42],"limitations:":[43],"i)":[44],"network":[46],"design":[47],"neglects":[48],"multi-scale":[49,77,94,120],"within-scale":[51,102],"information;":[52],"ii)":[53],"training":[54],"a":[55,74,118,151,165,175,195],"distinct":[56],"model":[57,152,163,197],"for":[58,65,85,169],"each":[59],"dose":[60,171,182,202,208],"necessitates":[61],"significant":[62],"storage":[63],"space":[64],"multiple":[66,130,170],"doses.":[67],"To":[68],"fill":[69],"these":[70],"gaps,":[71],"we":[72,89,149],"propose":[73],"prompt":[75,111,166,176],"guiding":[76,112,167,177,192],"adaptive":[78],"sparse":[79],"representation-driven":[80],"network,":[81],"abbreviated":[82],"as":[83],"PMSRNet,":[84],"LDMAR":[86,156,218],"task.":[87],"Specifically,":[88],"construct":[90],"PMSRNet":[91],"inspired":[92],"from":[93,142],"sparsifying":[95],"frames,":[96],"can":[99,127],"simultaneously":[100],"employ":[101],"characteristics":[103],"cross-scale":[105],"complementarity":[106],"owing":[107],"to":[108,133,189,198],"an":[109],"elaborated":[110],"scale-adaptive":[113],"threshold":[114],"generator":[115],"(PSATG)":[116],"built":[119],"coefficient":[121],"fusion":[122],"module":[123],"(MSFuM).":[124],"The":[125],"PSATG":[126],"adaptively":[128],"capture":[129],"contextual":[131],"information":[132],"generate":[134],"more":[135],"faithful":[136],"thresholds,":[137],"achieved":[138],"by":[139],"fusing":[140],"features":[141],"local,":[143],"regional,":[144],"global":[146],"levels.":[147,172],"Furthermore,":[148],"elaborate":[150],"interpretable":[153],"dual":[154],"domain":[155],"framework":[157],"called":[158],"PDuMSRNet,":[159],"train":[161],"single":[162,196],"with":[164],"strategy":[168],"We":[173],"build":[174],"module,":[178],"whose":[179],"input":[180,187],"contains":[181],"level,":[183],"mask":[185],"instance,":[188],"provide":[190],"various":[191,200,207],"information,":[193],"allowing":[194],"accommodate":[199],"settings.":[203],"Extensive":[204],"experiments":[205],"levels":[209],"demonstrate":[210],"that":[211],"proposed":[213],"methods":[214],"outperform":[215],"state-of-the-art":[217],"methods.":[219]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
