{"id":"https://openalex.org/W7124422270","doi":"https://doi.org/10.1109/tci.2026.3654807","title":"DPD-DEMD: Denoising Prior Guided Weakly Supervised Image Domain Dual-Energy Material Decomposition","display_name":"DPD-DEMD: Denoising Prior Guided Weakly Supervised Image Domain Dual-Energy Material Decomposition","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7124422270","doi":"https://doi.org/10.1109/tci.2026.3654807"},"language":null,"primary_location":{"id":"doi:10.1109/tci.2026.3654807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3654807","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-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/A5123251142","display_name":"Xinyun Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyun Zhong","raw_affiliation_strings":["Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123223383","display_name":"Xu Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhuo","raw_affiliation_strings":["Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040249442","display_name":"Tianling Lyu","orcid":"https://orcid.org/0000-0002-5851-6363"},"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":"Tianling Lyu","raw_affiliation_strings":["Academy for Advanced Interdisciplinary Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Academy for Advanced Interdisciplinary Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123185568","display_name":"Yikun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Zhang","raw_affiliation_strings":["Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772591","display_name":"Qianjin Feng","orcid":"https://orcid.org/0000-0003-0770-9189"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianjin Feng","raw_affiliation_strings":["Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123190306","display_name":"Guotao Quan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guotao Quan","raw_affiliation_strings":["CT RPA Department, United Imaging Healthcare Company, Ltd., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"CT RPA Department, United Imaging Healthcare Company, Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023545041","display_name":"Xu Ji","orcid":"https://orcid.org/0000-0002-3754-228X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Ji","raw_affiliation_strings":["Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123192948","display_name":"Yang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5123251142"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13191124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"334","last_page":"348"},"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":0.8202999830245972,"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":0.8202999830245972,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.04479999840259552,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.015599999576807022,"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/noise-reduction","display_name":"Noise reduction","score":0.6549999713897705},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6362000107765198},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6331999897956848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5580000281333923},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5218999981880188},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5116000175476074},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4016000032424927},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3921999931335449},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.3698999881744385}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6876000165939331},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6549999713897705},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6362000107765198},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6331999897956848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241000294685364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5580000281333923},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5218999981880188},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4016000032424927},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3921999931335449},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.366100013256073},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31299999356269836},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2026.3654807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3654807","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8770720362663269}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W641931047","https://openalex.org/W1531782041","https://openalex.org/W1659720364","https://openalex.org/W1901129140","https://openalex.org/W1968142861","https://openalex.org/W1972037630","https://openalex.org/W1990241296","https://openalex.org/W2001568574","https://openalex.org/W2003963266","https://openalex.org/W2040072697","https://openalex.org/W2055138517","https://openalex.org/W2056370875","https://openalex.org/W2082817771","https://openalex.org/W2110652437","https://openalex.org/W2139655972","https://openalex.org/W2147282985","https://openalex.org/W2160547390","https://openalex.org/W2164210934","https://openalex.org/W2166022329","https://openalex.org/W2237473774","https://openalex.org/W2300237018","https://openalex.org/W2300533347","https://openalex.org/W2339174593","https://openalex.org/W2584483805","https://openalex.org/W2734514690","https://openalex.org/W2795714267","https://openalex.org/W2889741596","https://openalex.org/W2902857081","https://openalex.org/W2905276891","https://openalex.org/W2972419341","https://openalex.org/W3011252275","https://openalex.org/W3032125536","https://openalex.org/W3044453626","https://openalex.org/W3108042139","https://openalex.org/W3131131418","https://openalex.org/W3178192988","https://openalex.org/W3183544601","https://openalex.org/W4200229112","https://openalex.org/W4210531384","https://openalex.org/W4297619556","https://openalex.org/W4298326857","https://openalex.org/W4312773500","https://openalex.org/W4322622372","https://openalex.org/W4386076517","https://openalex.org/W4386592071","https://openalex.org/W4391878047","https://openalex.org/W4399559184","https://openalex.org/W4405490254","https://openalex.org/W4415033917"],"related_works":[],"abstract_inverted_index":{"Dual-energy":[0],"material":[1,11,78,94,147,176],"decomposition":[2,95,148],"is":[3,180],"widely":[4],"used":[5],"in":[6,175],"clinical":[7,47,157,173],"diagnosis,":[8],"especially":[9],"for":[10,90,105],"characterization.":[12],"However,":[13],"conventional":[14],"image-domain":[15,76],"methods":[16,61],"suffer":[17],"from":[18],"noise":[19],"amplification,":[20],"thus":[21],"reducing":[22],"signal-to-noise":[23],"ratio":[24],"and":[25,62,109,119,138,156,163],"compromising":[26],"diagnostic":[27],"accuracy.":[28,149],"Although":[29],"deep":[30],"learning":[31,70,125],"approaches":[32],"have":[33],"shown":[34],"significant":[35],"progress,":[36],"they":[37],"often":[38],"require":[39],"high-quality":[40],"paired":[41],"or":[42],"unpaired":[43],"labels,":[44],"limiting":[45],"their":[46],"application.":[48],"To":[49],"address":[50],"these":[51],"issues,":[52],"this":[53],"work":[54],"explores":[55],"the":[56,117,122,132,146,160,166],"feasibility":[57],"of":[58,121,165],"weakly":[59,68,123],"supervised":[60,69,124],"proposes":[63],"a":[64,110],"denoising":[65,84],"prior":[66],"guided":[67],"framework,":[71],"DPD-DEMD,":[72],"to":[73,86,144],"achieve":[74],"high-accuracy":[75],"dual-energy":[77],"decomposition.":[79,177],"DPD-DEMD":[80],"utilizes":[81],"pretrained":[82],"CT":[83],"models":[85],"construct":[87],"robust":[88],"priors":[89],"our":[91],"dual":[92,135],"energy":[93,136],"task.":[96],"Furthermore,":[97],"we":[98,129],"propose":[99,140],"an":[100],"adaptive":[101],"confidence":[102],"mask":[103],"mechanism":[104],"pseudo":[106],"label":[107],"generation":[108],"multi-prior":[111],"fusion":[112],"strategy,":[113],"thereby":[114,169],"substantially":[115],"improving":[116],"stability":[118],"reliability":[120],"process.":[126],"In":[127],"addition,":[128],"fully":[130],"exploit":[131],"correlation":[133],"between":[134],"images":[137],"further":[139],"global-local":[141],"regularization":[142],"loss":[143],"improve":[145],"Extensive":[150],"experiments":[151],"conducted":[152],"on":[153],"both":[154],"simulated":[155],"datasets":[158],"verify":[159],"superior":[161],"performance":[162],"robustness":[164],"proposed":[167],"method,":[168],"demonstrating":[170],"its":[171],"potential":[172],"value":[174],"Our":[178],"code":[179],"available":[181],"at":[182],"<uri":[183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/zhongxinyun/DPD-DEMD.git</uri>.":[185]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-01-17T00:00:00"}